Our review
This skill logs proof of completed work to a session log file for audit trail.
Strengths
- Creates a persistent audit trail
- Easy to implement with provided templates
- Integrates with step execution workflow
- Provides clear evidence for self-assessment
Limitations
- Manual process relies on developer discipline
- No automatic detection of actions
- Logging to file may have privacy implications in shared environments
After completing significant actions or steps in a plan to maintain an audit trail.
For trivial actions that don't need recording, or in environments where file-based logging is not appropriate.
Security analysis
SafeThe skill only performs local logging via mkdir and echo redirection. It does not exfiltrate data, execute remote code, or disable safety features. It is purely an audit trail mechanism.
No concerns found
Examples
Log the completion of step 3: Add user authentication with JWT. Files modified: src/auth.py, tests/test_auth.py. Outcome: success.Log a file change: edited src/utils.py to fix parsing bug. Reason: the parser was failing on empty input.Log test run: command 'pytest tests/' passed all 42 tests with 0 failures.name: edge-log description: Log proof of completed work to the session log. Use after completing significant actions to maintain an audit trail.
Log Proof
Since Codex CLI doesn't have automatic PostToolUse hooks, this skill manually logs proof of completed work.
When to Use
Call this skill after:
- Completing a step in the plan
- Making significant file changes
- Running tests
- Any action that should be recorded for audit
Instructions
1. Gather Proof Information
Collect:
- What was done: Brief description of the action
- Files modified: List of changed files
- Outcome: Success/failure and any relevant output
- Timestamp: Current time
2. Append to Session Log
Add an entry to .proof/session_log.jsonl:
{
"timestamp": "2025-01-15T14:30:00Z",
"type": "manual_log",
"action": "Completed step 3: Add user authentication",
"files": ["src/auth.py", "tests/test_auth.py"],
"outcome": "success",
"details": "Added JWT-based auth, all tests pass"
}
3. Create Log Directory if Needed
If .proof/ doesn't exist:
mkdir -p .proof
4. Append Entry
echo '{"timestamp":"...","type":"manual_log",...}' >> .proof/session_log.jsonl
Log Entry Format
{
"timestamp": "<ISO 8601 timestamp>",
"type": "manual_log",
"action": "<what was done>",
"files": ["<list>", "<of>", "<files>"],
"outcome": "success | failure | partial",
"details": "<additional context>",
"step": <step number if applicable>
}
Quick Log Template
For common actions, use these templates:
Step Completion
{
"timestamp": "<now>",
"type": "step_complete",
"step": <N>,
"description": "<step description>",
"proof": "<evidence of completion>"
}
File Change
{
"timestamp": "<now>",
"type": "file_change",
"files": ["<path1>", "<path2>"],
"action": "create | edit | delete",
"reason": "<why this change was made>"
}
Test Run
{
"timestamp": "<now>",
"type": "test_run",
"command": "<test command>",
"result": "pass | fail",
"details": "<N tests, M failures>"
}
Integration with Other Skills
The $edge-step skill should call $edge-log after completing each step.
Example workflow:
$edge-stepexecutes the work- Work completes successfully
$edge-logrecords the proofactive_context.yamlis updated with step completion
Why This Matters
Without automatic logging:
- There's no audit trail of what happened
- Proof claims are unverifiable
- State changes are invisible
Manual logging provides:
- Accountability
- Debugging history
- Evidence for self-assessment
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