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Signed Audit Trails Recipe

Seth HobsonCommunityCreated by Tom FarleyDistributed by Seth Hobson

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  • MIT
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From the author

Step-by-step cookbook for setting up cryptographically signed audit trails on Claude Code tool calls. Use when explaining, evaluating, or demonstrating the pattern before committing to the protect-mcp runtime hooks. Covers Cedar policy, Ed25519 receipts, offline verification, tamper detection, CI/CD integration, and SLSA composition.
— the description by Tom Farley

AutoGineer summary

Written by AutoGineer from the skill’s own files, not by the author

This skill provides a comprehensive guide to implementing cryptographically signed audit trails for Claude Code tool calls. By integrating Cedar policies for pre-execution evaluation and Ed25519 signatures for post-execution receipts, it enables offline, tamper-evident verification of agent behavior. This pattern is designed for regulated environments, CI/CD pipelines, and multi-party collaborations where verifiable evidence of agent actions is required without relying on vendor trust.

What it does

  • Configures runtime hooks to intercept and evaluate tool calls against Cedar policies.
  • Generates cryptographically signed Ed25519 receipts for every tool execution.
  • Provides a mechanism for offline verification of receipt chains using public keys.
  • Demonstrates tamper detection by validating signature integrity against receipt payloads.
  • Integrates with CI/CD pipelines to enforce policy gates and verify agent behavior automatically.
  • Supports composition with SLSA provenance for agent-built software.

When to use it

  • In regulated industries like finance or healthcare requiring tamper-evident logs.
  • When you need to prove that specific policy gates were applied during automated build steps.
  • For multi-party scenarios where counterparties must verify agent actions independently.
  • To meet compliance requirements such as the EU AI Act or SLSA provenance standards.

Advantages

  • Enables offline verification without network calls or vendor lookups.
  • Provides strong, tamper-evident proof of agent behavior.
  • Uses standardized JCS canonicalization and Ed25519 signatures for interoperability.
  • Supports granular policy enforcement via Cedar.
  • Facilitates secure integration into automated CI/CD workflows.

Usage examples

“How do I set up signed audit trails for my Claude Code agent?”
The agent provides the step-by-step installation guide, including key generation, hook configuration, and policy creation.
“How can I verify that my agent's tool call logs haven't been tampered with?”
The agent explains how to use the verification tool with your public key to check the integrity of the receipts.jsonl file.
“Can I integrate these audit trails into my GitHub Actions pipeline?”
The agent provides a YAML configuration example for a CI/CD job that runs the agent, verifies the receipts, and uploads them as artifacts.

Install

  1. Download the skill as a ZIP:

    https://mp-staging.autogineer.com/agent-skills/wshobson/signed-audit-trails-recipe/download
  2. Unzip it into the cross-client skills folder of your project:

    mkdir -p .agents/skills && unzip signed-audit-trails-recipe.zip -d .agents/skills

Documentation by Tom Farley

Signed Audit Trails for Claude Code Tool Calls

Cookbook-style walkthrough for cryptographically signed receipts on every Claude Code tool call. This is the teaching skill. For the runtime implementation, install the protect-mcp plugin.

What this gives you

Every tool call (Bash, Edit, Write, WebFetch) is:

  1. Evaluated against a Cedar policy before execution. If the policy denies the call, the tool does not run.

  2. Signed as an Ed25519 receipt after execution. Receipts are JCS-canonical and verifiable offline by anyone with the public key.

An auditor, regulator, or counterparty can verify every receipt later (Step 5). No network call, no vendor lookup, no trust in the operator.

When to use the pattern

  • Regulated environments (finance, healthcare, critical infrastructure) where you need tamper-evident evidence of agent behavior

  • CI/CD pipelines where you want to prove that a policy gate held for every automated build step

  • Multi-party collaboration where a counterparty wants to verify your agent's behavior without trusting your operator

  • Compliance contexts (EU AI Act Article 12, SLSA provenance for agent-built software) where standard logging is not sufficient

Step 1: Install the hook configuration

Install the protect-mcp plugin with /plugin install protect-mcp. Its hooks run evaluate.sh before each tool call and sign.sh after it. Both scripts read the hook event from stdin, because Claude Code sets no TOOL_NAME or TOOL_INPUT variables. See references/hook-wiring.md for the hook configuration and what each script passes to protect-mcp.

protect-mcp 0.7.4 does not create the signing key, and without a key the receipts are unsigned. Create ./protect-mcp.key once. The command never replaces an existing key:

if [ ! -e ./protect-mcp.key ]; then
  d=$(mktemp -d) && npx [email protected] init --dir "$d" && mv "$d/keys/gateway.json" ./protect-mcp.key
fi
chmod 600 ./protect-mcp.key

Give auditors the publicKey value from that file. Do not commit the file, because it also holds the private key.

Add the private key and receipt directory to .gitignore:

echo "/protect-mcp.key" >> .gitignore
echo "/receipts/" >> .gitignore

Step 2: Write a Cedar policy

Create ./protect.cedar from the example in references/cedar-policy.md. It allows read-only tools and a short list of Bash commands, denies shell chaining and destructive commands, and limits writes to the project with .. segments denied.

Step 3: Use Claude Code normally

Start Claude Code. Every tool call goes through both hooks:

You: Please read the README and summarize it.

Claude: I will read README.md.
  [PreToolUse: Read ./README.md -> allow]
  [Tool: Read executes]
  [PostToolUse: receipt rcpt-a8f3c9d2 signed to ./receipts/]

... summary of README ...

A session of 20 tool calls appends 20 receipts to ./receipts/receipts.jsonl.

Step 4: Inspect a receipt

protect-mcp 0.7.4 appends each receipt as one line of ./receipts/receipts.jsonl. Print the newest one:

tail -n 1 ./receipts/receipts.jsonl | python3 -m json.tool

The receipt is a signed v2 envelope that names the tool, and it holds no public key. See references/receipt-format.md for a sample and the signed fields.

Step 5: Verify the receipts

Pass the publicKey value from ./protect-mcp.key to the verifier:

PUB=$(node -p 'JSON.parse(require("fs").readFileSync("./protect-mcp.key")).publicKey')
npx @veritasacta/[email protected] --replay-chain ./receipts/receipts.jsonl --key "$PUB"

Exit codes:

CodeMeaning
0Every receipt verified
1A receipt failed verification (tampered, wrong key, or malformed line)
2The receipts file could not be read

Step 6: Demonstrate tamper detection

Change the newest receipt's decision from allow to deny:

python3 -c "
import json
path = './receipts/receipts.jsonl'
lines = open(path).read().splitlines()
r = json.loads(lines[-1])
r['payload']['decision'] = 'deny'
lines[-1] = json.dumps(r)
open(path, 'w').write('\n'.join(lines) + '\n')
"

npx @veritasacta/[email protected] --replay-chain ./receipts/receipts.jsonl --key "$PUB"

The verifier exits with code 1 and reports which line failed. The Ed25519 signature no longer matches the JCS-canonical bytes of the tampered payload.

Restore the field and verification passes again.

How the cryptography works

Two invariants make receipts verifiable offline across any conformant implementation:

  1. JCS canonicalization (RFC 8785) before signing. Keys sorted by UTF-16 code units, whitespace minimized, strings not normalized. Two independent implementations produce byte-identical signing payloads for the same receipt content.

  2. Ed25519 signatures (RFC 8032) over the canonical bytes. Deterministic, fixed-size, no nonce dependency.

protect-mcp 0.7.4 receipts carry no link to the previous receipt, so a deleted receipt goes undetected.

For the formal wire format see draft-farley-acta-signed-receipts.

Cross-implementation interop

The receipt format has four independent implementations today:

ImplementationLanguageUse case
protect-mcpTypeScriptClaude Code, Cursor, MCP hosts
protect-mcp-adkPythonGoogle Agent Development Kit
sb-runtimeRustOS-level sandbox (Landlock + seccomp)
APS governance hookPythonCrewAI, LangChain

A receipt produced by any of them verifies against @veritasacta/verify. The auditor does not need to trust the operator's tooling choice: the format is the contract.

CI/CD integration

Verify receipts in CI so a tampered receipt fails the build. references/ci-cd.md has a GitHub Actions workflow that runs on pushes to the default branch. It installs the signing key from a branch-limited environment, runs the agent, verifies the receipts, and uploads them. It does not run on pull requests, because that would hand the key to unreviewed code.

Composition with SLSA provenance for agent-built software

When Claude Code builds and releases software (running npm install, npm build, npm publish as tool calls), the receipt chain is the per-step build log. SLSA Provenance v1 has an extension point for this: the byproducts field can reference the receipt chain alongside the build attestation.

The agent-commit build type documents the pattern using the ResourceDescriptor shape:

{
  "name": "decision-receipts",
  "digest": { "sha256": "..." },
  "uri": "oci://registry/org/build-xyz/receipts:sha256-...",
  "annotations": {
    "predicateType": "https://veritasacta.com/attestation/decision-receipt/v0.1",
    "signerRole": "supervisor-hook"
  }
}

The SLSA provenance is signed by the builder identity; the receipt attestation is signed by the supervisor-hook identity. Two trust domains, cross-referenced at the byproduct layer. See slsa-framework/slsa#1594 for the composition discussion.

Common pitfalls

Private key in version control. The generated ./protect-mcp.key must not be committed. The examples above add it to .gitignore. If a key is accidentally committed, rotate it immediately. Move the key and ./receipts/receipts.jsonl to an archive, then run the Step 1 command again. Verify the archived receipts with the old public key.

Hook payload on stdin. Claude Code sets no $TOOL_NAME or $TOOL_INPUT variables. A hook command that passes --tool "$TOOL_NAME" sends an empty tool name, so the policy denies every call. Read the payload from stdin as the plugin scripts do.

Receipts directory in CI. If Claude Code runs in CI, upload receipts as an artifact at the end of the job or the receipts are lost at job end.

Policy is missing. When ./protect.cedar does not exist, evaluate.sh prints a warning to stderr and allows the call. No call is gated until you create the policy in Step 2.

  • protect-mcp — the runtime hook implementation (use this plugin in production)

  • review-agent-governance — require human approval before review-surface actions; composes with protect-mcp

References

Files

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 Python, Needs Node.js

Security

No issues found by our static scan· No issues found

A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.

Attribution and licence

Created by
Tom Farley
Publisher
Seth Hobson (Community)
Distributed by
Seth Hobson
Source
wshobson/agents · plugins/signed-audit-trails/skills/signed-audit-trails-recipe · commit 4bde316
Licence
MIT License (redistribution allowed)
  • LICENSE (added by AutoGineer from LICENSE)
  • ATTRIBUTION.md (written by AutoGineer)
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Download ZIP

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