Trailmark Finding Triage
Trail of BitsOfficialPublished by Trail of Bits
- Skill
- Workflow
- Security
- CC-BY-SA-4.0
- Low risk
- Has scripts
AutoGineer summary
Written by AutoGineer from the skill’s own files, not by the author
Trailmark Finding Triage provides a structured workflow to evaluate individual security findings by leveraging graph-based code analysis. It helps security researchers and developers determine if a reported issue is reachable from an entrypoint, assess its potential impact, and decide whether it warrants further investigation or proof-of-concept development. By binding findings to specific nodes in a Trailmark graph, the skill generates evidence packets that highlight entrypoint paths, taint, privilege boundaries, and blast radius, allowing for informed decisions on whether to promote, deprioritize, or manually review a candidate issue.
What it does
- Normalizes security findings from various sources like SARIF, weAudit, or manual reports.
- Binds candidate findings to specific nodes within a Trailmark graph.
- Analyzes reachability, taint, and privilege boundaries for a single finding.
- Generates a structured evidence packet to support triage decisions.
- Provides a clear verdict on whether to promote, review, or deprioritize an issue.
- Identifies specific manual review targets such as validators or auth checks.
When to use it
- When you need to triage a static-analysis result before investing time in PoC development.
- When checking if a manually discovered issue is reachable from an entrypoint.
- When building an evidence packet to prepare for exploit validation.
- When reviewing a single suspicious function identified during a manual audit.
Advantages
- Reduces time spent on non-reachable or low-impact findings.
- Provides objective graph evidence to support triage decisions.
- Standardizes the output format for security findings and evidence.
- Helps distinguish between reachable code and actual exploitable vulnerabilities.
Usage examples
- “Use Trailmark finding triage on src/Vault.sol:148; I think withdraw can bypass the balance update.”
- The agent binds the finding to the node, analyzes reachability and entrypoint paths, and provides a verdict on whether the issue is worth further investigation.
- “Triage this SARIF result before I spend PoC time: semgrep:error unchecked-transfer in contracts/Bridge.sol line 91.”
- The agent processes the SARIF input, maps it to the graph, and generates an evidence packet detailing if the transfer is reachable and attacker-controlled.
- “This report excerpt claims parse_packet is attacker reachable. Build the Trailmark evidence packet and tell me what is still missing.”
- The agent analyzes the function in the graph context, reports on entrypoint reachability, and lists remaining manual review targets needed to confirm exploitability.
Install
Download the skill as a ZIP:
https://mp-staging.autogineer.com/agent-skills/trailofbits/trailmark-finding-triage/downloadUnzip it into the cross-client skills folder of your project:
mkdir -p .agents/skills && unzip trailmark-finding-triage.zip -d .agents/skills
Documentation by Trail of Bits
Trailmark Finding Triage
Build a concise graph evidence packet for one candidate finding. This skill answers whether the affected code is reachable, what graph evidence supports or weakens the claim, and what manual review is still required before calling the issue exploitable.
When to Use
Triage one static-analysis result before spending PoC time
Check whether a manual finding is entrypoint-reachable
Build an evidence packet for PoC work
Review a single suspicious function discovered during manual audit
Decide whether one issue should be promoted, deprioritized, or treated as part of a broader chain analysis
When NOT to Use
Multiple weak findings might compose into a stronger chain. Use a chain or composition workflow instead.
The user wants a full audit. Use an audit or design-review workflow instead.
The user wants remediation verification for a known finding. Use a remediation-review workflow instead.
The target is a PR or branch diff. Use
graph-evolutionplus a differential review workflow.No concrete finding, function, file/line, or suspicious sink exists yet. Use discovery skills first.
Rationalizations to Reject
| Rationalization | Why It Is Wrong | Required Action |
|---|---|---|
| "The scanner says high severity, so reachability is obvious" | Static findings need graph and code context before promotion | Bind the finding to a graph node and check entrypoint paths |
| "No entrypoint path means impossible" | It may mean parser, proxy, or dynamic dispatch limitations | Report the limitation separately from reachability |
| "An auth check appears on the path, so the issue is safe" | The check may enforce the wrong predicate or be bypassed by another path | Treat validation/auth as review targets, not proof |
| "One reachable path is enough for a PoC claim" | The path still needs attacker-controlled inputs and compatible preconditions | Separate graph reachability from exploitability |
| "This is probably a chain" | Single-finding triage stops at one candidate | Hand off related findings to a composition workflow |
Workflow
Finding Triage Progress:
- [ ] Step 1: Normalize the candidate
- [ ] Step 2: Build or reuse the Trailmark graph
- [ ] Step 3: Bind the candidate to graph node(s)
- [ ] Step 4: Analyze reachability, taint, boundaries, and blast radius
- [ ] Step 5: Decide and emit the evidence packetStep 1: Normalize the Candidate
Accept file/line, function name, SARIF result, weAudit annotation, Markdown finding excerpt, or a manual claim. Normalize it to:
title
source type
file path and line range if present
function or node hint
suspected source, sink, or asset
claimed impact
If there is no concrete code anchor, stop and ask for one.
For input handling details, see references/input-normalization.md.
Shortcut for Steps 2–4 (file/line findings)
For file/line anchors, run the bundled script. It builds the graph and preanalysis once,
binds every finding, and prints the Graph Evidence fields as JSON: all matching nodes and the
primary one (the node containing the first line, then the narrowest), entrypoint paths with each entrypoint's trust level, tainted /
entrypoint_reachable / privilege_boundary / high_blast_radius membership, callers,
callees, downstream nodes, and the Trailmark version. Pass several findings in one call rather
than rebuilding the graph per finding.
uv run --no-project "{baseDir}/scripts/evidence_packet.py" --target <dir> --finding <file>:<line>[-<end>] --out evidence.json [--finding ...] [--language auto]With --out, the complete packet stays on disk and stdout contains only delivery
counts. Read relevant finding records from that file. Without --out, stdout is
the full packet. Relative anchors may be target- or working-directory-relative;
ambiguous existing paths are rejected. Choose --path-base target or cwd, or
use an absolute path. Lines must be positive and ordered; column syntax is not
supported. Containers cover module/class/contract declarations when no callable
overlaps. Inspect binding (exact, nested or ambiguous), binding_kind, all
matches, unavailable signals and parser diagnostic limitations before judging the
result. A zero-node graph is a failure.
Batching shares graph work only: write a separate human verdict for each finding.
A finding that binds to nothing comes back with bound_node: null and the reason. The
script judges nothing: read the bound code and its callers, decide attacker control, and
treat an empty path list as a limitation to explain (dynamic dispatch, proxies, missing
entrypoint models), not as proof. Use the steps below for inputs the script does not take
(function names, SARIF via audit-augmentation) and for queries it does not run
(connect_subgraphs).
Step 2: Build Or Reuse The Graph
Use the public trailmark skill workflow. Prefer an existing fresh exported
graph or .trailmark/ artifact when present. Otherwise build a graph with
language="auto" or the target's explicit language list, then run
engine.preanalysis().
Record the Trailmark version or feature probes used. Feature-gate Trailmark
0.4-only APIs with hasattr() or CLI help checks.
Step 3: Bind The Candidate
Bind by file and line overlap first, then function name plus file. If several nodes match, list every candidate and select the narrowest enclosing node as primary. If no node matches, report a binding limitation instead of guessing.
SARIF and weAudit users should reuse the audit-augmentation workflow for
matching and then inspect the annotated node.
Step 4: Analyze Graph Evidence
Run the query recipe in references/query-recipes.md:
entrypoint paths to the bound node
trust level of each path when available
membership in
tainted,privilege_boundary, andhigh_blast_radiussubgraphsdirect callers and callees
high-impact downstream sinks
sibling or nearby nodes worth manual review
Do not treat graph reachability as proof of exploitability.
Step 5: Decide And Handoff
Produce one verdict:
| Verdict | Meaning |
|---|---|
Promote | Graph evidence supports reachability and plausible impact |
Needs manual review | Evidence is suggestive but not decisive |
Deprioritize | No reachable path or only trusted/internal paths found |
Blocked | Binding or Trailmark analysis failed |
Write the evidence packet using references/output-format.md.
Hand off promoted PoC-worthy issues to the user's PoC workflow. Hand off
related findings to a composition workflow. Hand off repeatable root causes to
trailmark-variant-neighborhood, variant-analysis, or a custom Semgrep/CodeQL
rule workflow.
Example Prompts
"Use Trailmark finding triage on
src/Vault.sol:148; I think withdraw can bypass the balance update.""Triage this SARIF result before I spend PoC time:
semgrep:error unchecked-transferincontracts/Bridge.solline 91.""This report excerpt claims
parse_packetis attacker reachable. Build the Trailmark evidence packet and tell me what is still missing."
Files
- ATTRIBUTION.mdAdded by AutoGineer951 B
- LICENSELicence file added by AutoGineer19.7 KiB
- SKILL.md7.6 KiB
- agents/openai.yaml245 B
- assets/trail-of-bits-mark.svg3.0 KiB
- references/input-normalization.md1.8 KiB
- references/output-format.md1.7 KiB
- references/query-recipes.md2.4 KiB
- scripts/evidence_packet.pyScript10.2 KiB
- scripts/test_evidence_packet.pyScript10.3 KiB
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Requirements and compatibility
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: Declares allowed tools, Needs Python, Needs Node.js
Security
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Attribution and licence
- Published by
- Trail of Bits
- Publisher
- Trail of Bits (Official)
- Source
- trailofbits/skills · plugins/trailmark/skills/trailmark-finding-triage · commit e4dd0bb
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- Creative Commons Attribution-ShareAlike 4.0 International (redistribution allowed)
- LICENSE (added by AutoGineer from LICENSE)
- ATTRIBUTION.md (written by AutoGineer)
- Synced
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