Security Audit
CloudflareOfficialPublished by Cloudflare
- Skill
- Review and audit
- Security
- MIT
- Low risk
- Has scripts
AutoGineer summary
Written by AutoGineer from the skill’s own files, not by the author
This skill provides a rigorous, defensive workflow for conducting security audits and vulnerability research. It operates in two modes: a guidance mode for focused investigations and a full audit mode for comprehensive, end-to-end reviews. The framework emphasizes sandboxed, local-only execution, requiring concrete evidence of a trust boundary violation to confirm a finding. It includes strict protocols for write isolation, budget management, and independent verification to ensure audit integrity and reproducibility.
What it does
- Performs structured security audits on codebases, APIs, and services.
- Validates vulnerabilities using sandboxed, local-only execution environments.
- Generates comprehensive audit reports including findings, evidence, and remediation guidance.
- Manages audit coverage through a deterministic ledger system.
- Enforces strict write isolation to protect target source and audit artifacts.
- Provides methodology for triage and investigation of specific security findings.
When to use it
- When performing a comprehensive, end-to-end security review of a codebase.
- When conducting vulnerability research on specific libraries or daemons.
- When seeking expert guidance on security methodology or triage.
- When a formal, documented security audit report is required.
- When investigating potential trust boundary violations in source code.
Advantages
- Ensures high-integrity results through independent verification phases.
- Minimizes risk by enforcing strict, sandboxed execution boundaries.
- Provides clear, evidence-based findings rather than generic hardening advice.
- Supports reproducible audits with structured metadata and coverage tracking.
- Prevents false positives by requiring concrete, observable boundary violations.
Usage examples
- “Perform a full security audit of this repository.”
- The agent initiates the six-phase audit workflow, starting with reconnaissance and ledger setup, followed by hunting waves and independent validation to produce a final security report.
- “I have a question about the authentication flow in this API; can you help me investigate?”
- The agent enters guidance mode, focusing on the specific authentication logic without triggering the full audit workflow or creating formal report artifacts.
Install
Download the skill as a ZIP:
https://mp-staging.autogineer.com/agent-skills/cloudflare/security-audit/downloadUnzip it into the cross-client skills folder of your project:
mkdir -p .agents/skills && unzip security-audit.zip -d .agents/skills
Documentation by Cloudflare
Security Audit
Find vulnerabilities that violate a real trust boundary, then give owners the source evidence, safe reproduction, priority, and smallest effective fix. This is a defensive, source-first workflow. A candidate without a concrete affected principal, resource, or security outcome is not a confirmed finding.
Operating modes
This skill is guidance by default. Loading it does not authorize the complete audit workflow or file creation.
Guidance mode: For security questions, focused reviews, methodology, triage, or investigation of specific findings, use only the relevant parts of this skill. Do not automatically run all six phases, create an output directory, or write audit artifacts. You may launch focused agents when useful; they return results to the current task.
Full audit mode: Use the complete workflow when the user explicitly asks to audit or pen-test a codebase, asks for a full, comprehensive, or end-to-end security review, or requests report artifacts. Run all six phases and write the files defined below.
If the request could mean either mode, ask one focused question before creating files or starting the complete workflow.
Platform terminology
This skill is agent-neutral:
Parent is the agent that coordinates the run and owns shared state.
Task tool is the platform's delegation or sub-agent mechanism.
researchagent is a delegated agent for focused source exploration and factual verification.generalagent is a delegated agent for broad investigation and bounded local execution.subagent_type:in a heading names which of these two delegated agent roles runs that work.
Use equivalent platform capabilities while preserving role, write-isolation, prompt, and independence boundaries.
Universal execution safety
These rules apply in both operating modes. Source inspection is read-only. Run target-controlled builds, tests, processes, browsers, emulators, fuzzers, and fixture processing only inside an OS-enforced sandbox that provides all of these controls:
no external network; use only an isolated loopback namespace when the check needs local client/server traffic;
an empty environment populated from an explicit allowlist with safe values, with scratch-local
HOME, temporary directories, and caches;a read-only target and toolchain, with the target-controlled process able to write only inside its assigned
scratch/directory; andexplicit low CPU, memory, process, file-size, disk, and wall-clock limits.
The agent, outside the target-controlled process, may make a disposable source copy in an assigned scratch/ directory when a build must write beside source. In guidance mode, do not retain target-controlled files. In full audit mode, only trusted parent-side code may promote the minimum non-secret result to retained artifacts/ using the procedure under Write isolation. Never expose a retained output directory (other than the agent's own assigned scratch/), another agent's directory, the host home directory, credentials, sockets, or shared services to target code. Do not install dependencies or let builds fetch them. Use only tools and dependencies already available locally. If every control cannot be enforced, do not execute target code: report the missing sandbox capability as a needs-validation blocker and give a safe validation plan.
Use dummy principals, fixtures, and secrets. Do not probe deployed endpoints, external services, shared infrastructure, production identities, other users' data, or live control planes. Do not test availability against a live or shared process, publish artifacts, alter releases, spend paid API quota, or continue beyond the minimum local effect needed to establish a defect. If the decisive fact is outside source or the sandboxed fixture, report it as needing validation.
Full audit setup
In full audit mode, resolve these values before reconnaissance:
Skill directory: the absolute directory containing this
SKILL.md.Target: the absolute repository root under review.
Repo name: a stable repository identifier from the directory or local Git remote.
Output directory: a new writable directory outside the target, defaulting to
~/security-audit-skill/<repo-name>/run-<N>, where<N>is the next unused integer. Use a directory inside the target only when the user explicitly selects it and the parent verifies that version control ignores the whole directory. Otherwise stop and request an external path.Source ref: the reviewed commit and whether the worktree is dirty. Do not treat unreviewed generated or modified files as another revision.
Write isolation
The parent creates and is the only writer of shared run files:
run-metadata.jsonarchitecture.mdcoverage-ledger.jsonfindings.jsonREPORT.mdFINDINGS-DETAIL.mdNEEDS-VALIDATION.md
Each hunter or verifier receives a unique root under <output-dir>/agents/<agent-id>/, with separate scratch/ and artifacts/ directories. Canonical agent IDs match ^[a-z0-9][a-z0-9_-]{0,63}$ and must not equal a Windows device name such as con, prn, aux, nul, com1 through com9, or lpt1 through lpt9. Lowercase IDs prevent case-fold collisions. The agent and every target-controlled process may write only to scratch/; retained artifacts/ is parent-owned, is never exposed to the sandbox, and is writable only by trusted parent-side promotion code. Agents may not change shared files, target source, retained artifacts, or another agent's directory. Do not use /tmp or the host home directory as a writable fallback.
Before execution, the parent opens and retains trusted, non-inheritable directory descriptors for the agent's scratch/ and artifacts/ roots, and records an allowlist of expected scratch-relative artifact files plus explicit per-file and cumulative byte limits. Never pass those descriptors to the agent or sandbox. After the sandbox and all its processes terminate, trusted parent-side code promotes each allowlisted file separately:
Validate the declared relative path: reject absolute, empty,
.,.., or symlinked components.Walk each parent component from the retained scratch-root descriptor with no-follow directory-relative operations; never reopen by path.
Open the leaf no-follow and nonblocking.
Verify with
fstatthat it is a regular file with link count exactly one and within the recorded per-file and cumulative byte limits.Enforce those limits again while reading from that descriptor.
Copy exactly the verified size, repeat
fstat, and reject a changed identity, type, link count, or size.For the destination, walk every parent component from the retained artifacts-root descriptor with no-follow directory-relative operations; require each existing component to be a real directory, and create any missing directory exclusively before reopening and verifying it no-follow.
Create the leaf exclusively without following links, verify that the opened destination is a regular file with link count exactly one, and copy from the verified source descriptor without reopening either path.
Use equivalent race-safe APIs on non-POSIX systems.
Never recursively copy or glob scratch, extract an archive into artifacts, or open or promote a symlink, FIFO, socket, device, directory, hard-linked file, changing file, or file that exceeds its bound.
If any check is unavailable, cannot be enforced, or fails, discard the scratch entry; if it is decisive evidence, retain
needs_validationwith the exact promotion blocker.
HUNTING.md and VALIDATION-AND-REPORTING.md carry this procedure as one identical fenced block for hunter and verifier prompts; it states the same rules in the same order as this list.
For a reproduced check, record the command, exact test input, sandbox limits, and only the allowlisted environment variable names plus safe non-secret values needed to reproduce it. Never capture or copy the ambient environment, inherited variables, credential values, authentication state, or unrelated host paths. Launch from an empty environment rather than trying to redact one after execution.
Before delegation, the parent writes run-metadata.json with at least run_id, repo, target, source_ref, profile, scope_paths, budget (null if unset), execution_policy: "sandboxed-source-and-local-only", selected companion files, prior-run paths, shared-file owners, and run_status: "in_progress". Update metadata only when those facts change; candidate state belongs in the coverage ledger and findings.json.
Full audit planning
The coverage, prior-run, profile, and budget requirements in this section apply only in full audit mode.
Coverage and prior runs
No one pass is complete. Build a deterministic coverage plan before hunting and update it after every agent result. RECONNAISSANCE.md defines the stable coverage units and HUNTING.md defines coverage-critic waves. The parent alone updates the ledger.
If prior runs exist, read every compatible coverage-ledger.json and findings.json before planning the current run:
Compare the relevant current source with each prior record and unit. A prior source ref alone is not evidence that a path is unchanged.
Carry a prior
confirmedrecord into the current candidate set only when its relevant source and conditions are unchanged and its evidence still meets the current contract. Link it to a current ledger unit seededplanned, preserve its fingerprint, exclude only that carried root cause from hunters, and send the carried record through the current final verification path; the Phase 3 verifier that re-checks it becomes that unit's assignment owner and moves it tocandidate.When relevant source for a prior
confirmedrecord changed, create a current planned revalidation unit. Do not put that record on the hunter exclusion list. It remains confirmed only if current independent validation establishes the current path and result.Make prior
needs_validation,deferred,blocked,out_of_scope, and any changed-source unit current work. A still-externalneeds_validationrecord may be carried only after the current source trace is checked and linked by fingerprint to a currentplannedunit whose verifier re-check supplies its owner and evidence; the record keeps the unresolved blocker. These prior states never suppress a current unit.A prior same-source covered unit may inform priority, but it remains visible in the current ledger. A prior
rejectedrecord suppresses only the unchanged failed claim, not coverage of its unit; changed evidence creates current work.Read the prior profile and scope. A prior
quickor scoped ledger contributes only its recorded evidence and gaps, never an implied "rest is fine."
If no prior ledger exists, say so in the final coverage statement. Never imply that one run exhausts the target.
Run profiles and scope
During full audit setup, pick a profile from the user's request or propose one from the target's size and stakes. Record it in run-metadata.json (profile, scope_paths) and state it in the report. The default is standard.
quick— a bounded pass for small targets, re-runs, or a fast first look. Coarsen ledger units to surface × boundary × attack class (subsystem uses the fixed canonicalprofile/quick/all-in-scope-subsystemsidentifier), run exactly one hunter wave followed by exactly one final coverage-critic pass, and use one fresh verifier per candidate for both candidate validation and final record verification. Do not launch a follow-up hunter wave: record the critic's accepted discoveries and reassignments asdeferred.standard— the workflow as written.deep— for high-stakes or large targets. Split ledger units per subsystem and lifecycle mode, run critic waves to a clean pass, keep candidate validation and final record verification as separate fresh agents, and giveprior_covered_same_sourceunits an independent second pass.
A scoped run audits a subset: named paths, one subsystem, one companion domain, or the diff between two source refs. Seed ledger units only for in-scope surfaces and record everything else as out_of_scope — never as covered. A scoped or quick run must present itself as partial coverage.
Profiles change breadth and redundancy, never the evidence bar. Do not scale away the candidate gate, the source/local execution boundary, needs_validation discipline, schema validation, or independent verification of confirmed records.
Cost budget
The ledger makes spend countable: one unit is roughly one hunter assignment, and one surviving candidate is one or two verifier assignments depending on profile. When the user sets a budget — or the parent proposes one for a large target — record budget in run-metadata.json as a maximum number of agent invocations across all phases.
Apply the strict budget gate before launching any reconnaissance agent. Reserve the four baseline reconnaissance calls, one final post-wave critic for quick or one post-wave plus one distinct final-clean critic for standard/deep, and at least one verifier call. Add focused reconnaissance only after repeating this gate for each extra call. If the requested budget cannot fund that minimum, launch no agent: ask for a larger budget, narrower scope, or different profile. If the request remains unchanged, set run_status: "incomplete" with incomplete_reason: "budget_cannot_fund_reconnaissance_and_reserves" and report that no audit pass ran.
Spend it in this order:
Count reconnaissance, every post-wave critic, and the separate final-clean critic as agent invocations.
Reserve critics and validation before hunting. For
quick, reserve its one post-wave final critic. Before everystandardordeephunter wave, reserve one immediate post-wave critic plus one distinct final-clean critic. Also reserve verifier cost from the profile (about 1 or 2 agents per expected candidate; when in doubt reserve 30% of the balance after critic reservation). Never assign hunters into either reserve.Assign hunters to units in priority order until the hunting allowance is spent. Spend the reserved post-wave critic immediately after that wave; keep the final-clean and validation reserves intact.
Before a later wave, reserve its new post-wave critic again. If the remaining budget cannot cover the required critic calls and validation reserve, launch no hunters from that wave, mark its planned units
deferredwith reasonbudget_cannot_reserve_critics_and_validation, and use the retained final-clean critic to record the resulting gap.
Before wave 1, update the pre-recon estimate with seeded units, implied hunter count, mandatory critic calls, validation reserve, and whether the remaining budget covers the plan. If it clearly cannot, say so and propose either a tighter scope or a coarser profile instead of silently thinning evidence. If later facts consume the required final-critic reserve, launch no hunters, mark all planned work deferred, set the run incomplete with reason critic_budget_exhausted, and make no complete-coverage claim.
A strict total-agent budget can still be exceeded by an unexpectedly large candidate set or by a material Phase 5 replacement that needs another independent verifier. If the remaining budget cannot validate every candidate, stop hunting, validate candidates in fingerprint order while the budget permits, and set run_status: "incomplete" plus incomplete_reason: "validation_budget_exhausted". Keep each unvalidated fingerprint linked to a candidate ledger unit with that unresolved reason. Do not put an unvalidated candidate in findings.json, relabel it needs_validation, or report the run as complete. Phase 6 may produce a partial report only if its first section states that candidate validation is incomplete and lists the affected fingerprints and units. Never exceed a user-set strict budget silently.
Core principles
Require a boundary and result
For every candidate, name the lower-trust principal, accepted input or action, intended control, crossed boundary, affected principal or resource, and concrete observed or owner-observable result. Do not elevate a missing best practice, guessed deployment behavior, generic parser crash, or self-impact into a security finding.
Use bounded local evidence
Static analysis establishes the source path. Sandboxed local tests resolve behavior when all execution controls are available: a minimal function harness, existing unit test, small parser fixture, dummy-tenant integration test, locally rendered configuration, or bounded isolated-loopback client. Stop at a wrong return value, unauthorized dummy record, sanitizer finding, policy difference, or other minimum effect. Do not extend the local check beyond the minimum boundary result or produce persistence, post-fault, or concealment material.
Respect source visibility
Deployment controls, proxy behavior, provider settings, browser headers, identity policy, broker ACLs, packaging, and topology are real controls. If they are required and absent from the repository, do not assume either presence or absence. Use needs_validation with the exact missing fact and a safe owner-observed or local plan.
Separate priority from certainty
Only confirmed records receive severity. Likelihood and impact must reflect the demonstrated conditions and result; overall severity cannot exceed demonstrated impact. needs_validation means a specific source-grounded boundary hypothesis is blocked, not a low-confidence confirmed vulnerability, and it has no severity.
Calibrate overall severity with these anchors:
critical — an unauthenticated actor gains code execution, full data-store access, or takeover of arbitrary accounts.
high — an actor fully defeats an explicit security control with real consequences: authentication bypass, cross-tenant read or write, stored script execution affecting other users, authenticated code execution, or an unauthenticated remote stop of a shared service.
medium — a real boundary violation with limited blast radius, uncommon preconditions, or consequences confined to a narrow resource set.
low — disclosure of non-secret internals, or an effect requiring sustained effort for minimal gain.
informational — a confirmed but minimal-impact observation, useful mainly as a prerequisite inside a larger finding.
The high/medium discriminator: does the demonstrated result fully defeat an explicit control for an action with real consequences, or only weaken it? If you cannot state the concrete damage, the severity is lower than it feels.
Recommend the smallest effective source fix
For each confirmed finding, identify the invariant the code must enforce and the narrowest source change that enforces it at the last trusted decision point. Prefer specific repository-relative changes and regression tests over generic hardening advice. The audit describes fixes; it does not modify target source.
Full audit workflow
In full audit mode, follow all six phases in order:
Reconnaissance — map the source, trust boundaries, local build paths, companion selections, prior evidence, and initial deterministic coverage ledger with RECONNAISSANCE.md.
Coverage-led hunting waves — assign isolated hunters from the ledger and collect structured candidate results with HUNTING.md, ATTACK-CLASSES.md, and the selected domain companions.
Candidate validation — consolidate fingerprints and give every candidate to a fresh source verifier as defined in VALIDATION-AND-REPORTING.md.
Structured output — write all final
confirmed,needs_validation, andrejectedrecords tofindings.json; validate it withreport-schema.jsonandvalidate-findings.cjs, and validate the coverage claim withvalidate-coverage-ledger.cjs.Independent record verification — use fresh agents to verify final source claims and reconcile corrections or state changes.
Target-neutral report — derive
REPORT.md,FINDINGS-DETAIL.md, andNEEDS-VALIDATION.mdfrom the final records, with no live-probe instructions.
Do not end the run before one of exactly two terminal states: (a) all Phase 6 artifacts are written and both validators pass, or (b) run_status: "incomplete" is recorded with its exact reason and the gap is disclosed in the report. Never stop mid-phase.
Anti-patterns
Checklist deviations presented as vulnerabilities.
Defense-in-depth advice with no reachable boundary violation.
Live or shared-environment testing where bounded local evidence is insufficient.
Guessing provider, proxy, browser, identity, or deployment behavior not present in source.
Treating intended same-principal authority or self-impact as a cross-boundary result.
Reporting a parser or runtime effect stronger than the observed effect.
Emitting prose-only hunter results that cannot be deduplicated or verified.
Re-reporting carried same-source prior confirmed records or using them as exemplars that anchor the hunt.
Assigning severity to
needs_validationrecords.Writing the report before independent verification or letting prose and JSON disagree.
Files
- AI-AND-LLM.md10.4 KiB
- ATTACK-CLASSES.md15.3 KiB
- ATTRIBUTION.mdAdded by AutoGineer885 B
- CLIENT-SIDE.md8.4 KiB
- CLOUD-AND-DEPLOYMENT.md8.1 KiB
- DATA-ISOLATION-AND-LIFECYCLE.md7.6 KiB
- DESKTOP-MOBILE-AND-LOCAL-IPC.md8.5 KiB
- HUNTING.md21.9 KiB
- LICENSELicence file added by AutoGineer1.1 KiB
- MEMORY-SAFETY-AND-BINARY.md10.3 KiB
- PROTOCOLS-RPC-AND-MESSAGING.md7.3 KiB
- RECONNAISSANCE.md15.5 KiB
- RESOURCE-EXHAUSTION-AND-AVAILABILITY.md7.3 KiB
- SKILL.md21.5 KiB
- SUPPLY-CHAIN-AND-RELEASE.md7.1 KiB
- VALIDATION-AND-REPORTING.md17.4 KiB
- WEB-PROTOCOL-AND-AUTH.md12.0 KiB
- report-schema.json14.2 KiB
- validate-coverage-ledger.cjsScript32.7 KiB
- validate-coverage-ledger.test.cjsScript27.8 KiB
- validate-findings.cjsScript28.1 KiB
- validate-findings.test.cjsScript25.8 KiB
RECONNAISSANCE.md
Reconnaissance
Phase 1: Map the source and plan coverage
The parent initializes run-metadata.json, applies the strict pre-reconnaissance budget gate in SKILL.md, then creates agent scratch roots and the shared ledger before hunting. If the gate fails, record the incomplete status in metadata and launch no reconnaissance agent. Reconnaissance reads the target and locally available build/configuration state only. It does not contact deployed endpoints, external identity providers, registries, brokers, cloud APIs, or other shared services.
Launch several research agents in parallel. They return structured facts to the parent and do not write files.
Agent 1a: Product, stack, and local operation
Read the target at <target>. Do not use network access. Return:
1. Product type, users, operators, and ordinary trust-sensitive actions.
2. Languages, frameworks, build system, runtimes, and locally visible deployment models.
3. Repository-relative entry points and subsystem boundaries.
4. Exact build and test commands that could run offline with local dependencies, their expected write locations, and the target-controlled inputs they process. Do not run them during reconnaissance.
5. Comparable software or protocol visible from local documentation and dependencies. If no useful comparison is source-grounded, say so.
6. Missing local toolchains or runtime facts that limit bounded execution.
Return only source facts with repository-relative file:line references.Agent 1b: Principals, authority, and controls
Read all source that establishes identity, authorization, isolation, and privilege. Map:
1. Each lower-trust principal and the actions it has by design.
2. Authentication or peer identity at each entry surface.
3. Per-resource authorization and tenant/owner scope.
4. Process, browser, workload, CI, plugin, model/tool, device, or local-IPC authority.
5. Privilege changes, confirmation, revocation, recovery, and fallback paths.
6. Which controls are source-visible and which depend on an unobserved deployment fact.
Return trust boundaries and control locations with repository-relative file:line references. Do not infer live reachability.Agent 1c: Entry surfaces, copies, and sinks
Inventory every source-visible place external or lower-trust input enters:
- HTTP/browser, RPC/message/protocol, files/archive/document, CLI/env/config, plugins/dependencies/CI, cloud events/IAM selectors, model context/tool arguments, mobile/deep-link/webview, and local IPC.
For each surface, follow major transformations, stored or derived copies, and security-relevant sinks. Record source-visible limits and parallel paths to the same effect.
Return repository-relative paths and line numbers. Be complete, but do not execute or send inputs.Agent 1d: Local execution and deployment visibility
Read tests, build definitions, manifests, packaging, and maintained environment overlays. Return:
1. Small offline tests or existing fixtures that could validate trust boundaries with dummy data inside the required OS-enforced sandbox.
2. Processes that could use an isolated loopback network namespace without external or shared dependencies.
3. Commands that would fetch dependencies, publish artifacts, contact paid/provider APIs, or affect shared state; mark them prohibited for this run.
4. Deployed controls and attachments that source cannot establish and therefore require needs_validation if decisive.
5. The final active source path for each deployment mode only where the repository selects it deterministically.
6. Whether the local platform can enforce an empty allowlisted environment, no external network, read-only target/toolchain mounts, scratch-only writes, and explicit CPU, memory, process, file-size, disk, and wall-clock limits. Missing controls block target-controlled execution.
7. Whether trusted parent-side code can promote predeclared scratch files with path-confined no-follow descriptor traversal, nonblocking regular-file checks, no-follow traversal of every destination parent, exclusive regular-file destination creation, and explicit per-file and cumulative size bounds. Missing promotion controls block use of scratch files as evidence.Add focused reconnaissance agents for materially distinct deployment modes or subsystems that these four do not map. Do not silently omit them: if the budget gate in SKILL.md blocks a focused agent, launch nothing for it, seed the unmapped area as a deferred ledger unit with reason budget_cannot_reserve_critics_and_validation, and disclose the gap in the report.
Prior-run input
Before selecting work, the parent reads every available prior coverage-ledger.json and findings.json for the same repo:
Compare the source locations, controls, conditions, and source-derived identity for every prior record and unit against the current source.
Carry an unchanged prior
confirmedrecord into the current candidate set, with the same fingerprint, only when its relevant source, conditions, and qualifying evidence still apply. Link it to a currentplannedunit withprior_status: "prior_confirmed_same_source"and put only that root cause on the hunter exclusion list. The Phase 3 verifier that re-verifies the carried record becomes that unit's assignment owner; its source re-check is the unit's first check and moves the unit tocandidatewith the carried fingerprint.Build a current planned
prior_confirmed_changed_sourcerevalidation unit when any relevant source or condition changed. Do not exclude that root cause from hunting or assume the prior verdict still applies.Build current work units for every prior
needs_validation,deferred,blocked,out_of_scope, and changed-source unit. These states are priority input, never deduplication or suppression keys.Carry a still-blocked prior
needs_validationrecord with the same fingerprint only after current source supports its trace. Link it to a currentplannedunit withprior_status: "prior_needs_validation"; the record keeps the unresolved blocker. The Phase 3 verifier that re-checks the carried record becomes that unit's assignment owner; its re-check is the unit's first check and moves the unit tocandidatewith the carried fingerprint. Include the record in final verification.Treat prior rejected records as stale claims unless current evidence changes the failed trace or missing condition. An unchanged rejection suppresses only that exact claim, not review of the coverage unit.
Record missing or incompatible ledgers instead of treating them as empty coverage.
State paths and source refs used in run-metadata.json. Summarize only the coverage consequences in architecture.md.
Architecture summary and companion selection
The parent synthesizes <output-dir>/architecture.md, with a hard cap of about 1,000 words. Include:
Product, principals, normal authority, and protected resources.
The comparable-software baseline from Agent 1a, when one is source-grounded: what security trade-offs the comparable accepts. Use it to calibrate effort and severity, never to dismiss a demonstrated finding; if the comparable shares a defect pattern that has mattered in practice, that strengthens the finding. Omit this line when no meaningful comparable exists.
Tech stack, source-visible deployment paths, and offline build/test limits.
Entry surfaces and the important source-to-sink or lifecycle paths.
Trust boundaries and the strongest source-visible control on each.
Repository-relative starting paths.
Prior coverage gaps, changed-source and blocked revalidation targets, and same-source confirmed exclusions.
A short companion-selection summary derived from ATTACK-CLASSES.md: selected files and the source-visible boundaries that require them.
Keep the assignment-level ordinary block, selected companion blocks, and excluded blocks with reasons in each ledger unit, not in architecture.md. This keeps the architecture cap valid for large runs and makes the exact hunter prompt map machine-checkable.
Do not select a companion file merely because the language or dependency name appears. Select it because reconnaissance found the trust-sensitive boundary described by its When to use this file section. Do not exclude a visible boundary just because another agent will review a related class.
Deterministic coverage ledger
The parent writes <output-dir>/coverage-ledger.json as a top-level JSON array. Derive one unit for every material combination of entry surface, trust boundary, subsystem, and applicable ordinary or companion attack class at the granularity the run profile sets (quick uses one all-in-scope subsystem identity; deep adds lifecycle modes). For a scoped run, seed in-scope surfaces for assignment and retain discovered excluded surfaces as out_of_scope units so later full runs can turn them into current work.
Each dimension has a human label and a stable source-derived value in canonical_refs. Use the same canonical reference for the same source object across runs even if its display label changes. Suitable references include a repository-relative entry path plus exported scope, a route or message identity defined in source, the source control that defines a boundary, a repository package path, and the exact attack-class block reference. A block reference is FILE.md# plus the exact class name as written in bold or as a heading in that file — a stable identifier matched against the file text, not a rendered HTML anchor. For companion section blocks, use the heading text before any parenthetical qualifier (for example Core discipline). Do not derive references by lowercasing or slugging display labels.
Derive coverage_id without lossy slugs:
Require every reference to be Unicode NFC with valid scalar values, visible content, no control, format, line/paragraph separator, or default-ignorable code point, and no surrounding whitespace.
Encode its UTF-8 bytes with RFC 3986 percent encoding: leave only
A-Z a-z 0-9 - . _ ~unescaped and use uppercase%HHfor every other byte.Join encoded
surface,boundary,subsystem, andattack_classreferences with::; append encodedlifecyclewhen present.
Use the fixed canonical value profile/quick/all-in-scope-subsystems for the quick profile's coarsened subsystem dimension. Do not include wave number, agent, verdict, severity, or line number in a reference or ID. Sort units lexicographically by coverage_id before each assignment. Fail on every duplicate ID. If duplicate IDs have different semantic fields, treat that as a canonical identity collision; never merge or silently overwrite them. The validator also rejects one semantic tuple represented by different canonical references.
Each unit records:
{
"coverage_id": "...",
"canonical_refs": {
"surface": "src/router.ts#POST /users/:id",
"boundary": "src/authz.ts#requireOwner",
"subsystem": "packages/api",
"attack_class": "ATTACK-CLASSES.md#Access control"
},
"surface": "...",
"boundary": "...",
"subsystem": "...",
"attack_class": "...",
"starting_paths": ["repo/relative/path"],
"ordinary_attack_class_block": "ATTACK-CLASSES.md#Access control",
"selected_companion_blocks": ["FILE.md#section"],
"excluded_blocks": [{"block": "FILE.md#section", "reason": "..."}],
"prior_status": "new|prior_confirmed_same_source|prior_confirmed_changed_source|prior_needs_validation|prior_deferred|prior_blocked|prior_out_of_scope|prior_covered_same_source|prior_covered_changed_source|prior_rejected_claim_changed|none",
"attempts": [],
"wave": 1,
"status": "planned",
"agent_id": null,
"reviewed_paths": [],
"local_checks": [],
"result_fingerprints": [],
"unresolved": []
}When lifecycle is material, add both canonical_refs.lifecycle and a human lifecycle field. ordinary_attack_class_block is null only when no ordinary block applies. The selected companion list includes each applicable class plus its companion Core discipline, Universal moves, and Validation rules; excluded_blocks records every considered but unselected block and the source fact that excludes it.
The parent may add bookkeeping fields but keeps the semantic fields above stable. In prior_status, new marks a surface first seen in this run when compatible prior ledgers exist; none marks a unit seeded when no compatible prior ledger is available. Prior deferred, blocked, out_of_scope, and changed-source units initialize as current planned work when now in scope. A prior same-source covered unit remains visible in the current ledger; assign changed source, important lifecycle paths, and exact conflicts first, then use the coverage critic to decide whether it needs another pass.
attempts is an append-only archive for evidence-bearing assignments that a coverage critic reopens. Before reassignment, append the prior unit's exact wave, status, agent_id, reviewed_paths, local_checks, result_fingerprints, and unresolved, plus the critic's source-backed reassignment_reason. Only blocked, covered, and candidate states can be archived. Archived attempts retain the same state and evidence invariants as live units, use strictly increasing waves below the current wave, and retain their producing owners and artifacts. The next assignment increments wave, uses a fresh owner, and starts with empty live evidence. If the profile or budget prevents another assignment, increment wave and use live deferred state with null owner, empty evidence, and the stop reason. Never copy an archived owner's checks or artifacts into the live state. A later live terminal state contains only the new attempt's evidence; the archive remains unchanged.
Enforce this state table exactly:
| Status | Unit agent_id | reviewed_paths / local_checks | result_fingerprints | unresolved |
|---|---|---|---|---|
planned | null | empty | empty | empty |
not_applicable, out_of_scope, deferred | null | empty | empty | nonempty reason |
in_progress | canonical owner | empty | empty | empty |
blocked | canonical owner | both nonempty owned partial evidence | empty | nonempty blocker |
covered | canonical owner | both nonempty | empty | empty |
candidate | canonical owner | both nonempty | nonempty | optional |
Canonical agent IDs match ^[a-z0-9][a-z0-9_-]{0,63}$ and are not Windows device names. Lowercase is mandatory, so one ledger cannot contain case-fold aliases. The unit agent_id records the assignment owner. Every check records its own agent_id and nonempty reviewed_paths; the unit-level reviewed_paths is exactly their union. A source-only check uses artifact: null. A local check requires a regular file promoted only by trusted parent-side code under exactly agents/<check.agent_id>/artifacts/. This lets hunter and verifier checks coexist in one unit. Scratch paths, output-root files, symlinks, special files, and another check owner's artifacts are not evidence.
The ledger is the coverage claim. An architecture summary, agent count, or generic "auth reviewed" sentence is not coverage evidence. Phase 2 closes units only from the paths and checks in a hunter's structured result.
Run node <skill-dir>/validate-coverage-ledger.cjs <output-dir>/coverage-ledger.json after seeding, after every parent update, and before Phase 6. The validator rejects input beyond 5 MiB, 64 nesting levels, 10,000 units, 1,000 entries in a nested collection, or 500,000 traversed values, and caps reported validation errors at 100. In practice the 5 MiB byte limit holds roughly 2,000-5,000 realistic units, so it binds before the 10,000-unit cap. Fix every error before assigning work or making a coverage claim.
Requirements and compatibility
Written for: Claude Code
Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta
“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.
Needs: Names Claude Code tools, Needs Node.js
Security
What our scanner noticed· Low risk
- Scripts that your agent may run
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Attribution and licence
- Published by
- Cloudflare
- Publisher
- Cloudflare (Official)
- Source
- cloudflare/security-audit-skill · skills/security-audit · commit c1c8a8c
- Licence
- MIT License (redistribution allowed)
- LICENSE (added by AutoGineer from LICENSE)
- ATTRIBUTION.md (written by AutoGineer)
- Synced
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Download ZIP
The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download security-audit.zip