Edge Log Proof

VerifiedSafe

Manually logs proof of completed work to a session log file after significant actions. Helps maintain an audit trail when automatic hooks are unavailable, such as after completing a step, modifying files, or running tests.

Sby Skills Guide Bot
ProductivityBeginner
6/2/2026
Codex
#logging#audit-trail#proof-of-work#session-log

Recommended for

Automated summary

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
When to use it

After completing significant actions or steps in a plan to maintain an audit trail.

When not to use it

For trivial actions that don't need recording, or in environments where file-based logging is not appropriate.

Security analysis

Safe
Quality score85/100

The 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

How this analysis is made

Examples

Log step completion
Log the completion of step 3: Add user authentication with JWT. Files modified: src/auth.py, tests/test_auth.py. Outcome: success.
Log file change
Log a file change: edited src/utils.py to fix parsing bug. Reason: the parser was failing on empty input.
Log test run
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:

  1. $edge-step executes the work
  2. Work completes successfully
  3. $edge-log records the proof
  4. active_context.yaml is 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

From the file to a first result

The download contains exactly the content displayed on this page. This copy may differ from the latest version in the source repository.

View the source and supporting files

This download contains SKILL.md only. Any scripts, references, templates and dependencies are not included. Get the required files from the source, preserving their directory structure, before continuing.

1. Download the file

Download SKILL.md

From the root of a test project, save the file as .skill-downloads/edge-log-proof-mm78nnz9/SKILL.md, or use the command below. This folder is for inspecting the skill before installation.

Command for macOS/Linux or WSL: requires a POSIX shell and curl. On Windows without WSL, use the download button and create the folder manually.

mkdir -p '.skill-downloads/edge-log-proof-mm78nnz9' && curl --fail --show-error --location 'https://skills-guides.com/api/skills/edge-log-proof-mm78nnz9/download' --output '.skill-downloads/edge-log-proof-mm78nnz9/SKILL.md.part' && mv '.skill-downloads/edge-log-proof-mm78nnz9/SKILL.md.part' '.skill-downloads/edge-log-proof-mm78nnz9/SKILL.md'

2. Check prerequisites

Read SKILL.md before using it. If it references scripts or external services, inspect them and prepare the required access in your test environment.

No recognized prerequisites section in this file. This does not mean it is self-contained: libraries, tools and access requirements may be mentioned elsewhere in the content or source repository.

The platforms on this page are catalog indications. The paths below follow tool documentation; they do not prove this skill has been run in those tools. No minimum tool version is confirmed for this listing.

3. Load the skill

After inspection, copy the complete folder into your project using one of the commands below, then open a new tool session. The command stops if a folder with the same name already exists: compare the files before replacing it.

Codex
test -f '.skill-downloads/edge-log-proof-mm78nnz9/SKILL.md' && test -s '.skill-downloads/edge-log-proof-mm78nnz9/SKILL.md' && mkdir -p '.agents/skills' && test ! -e '.agents/skills/edge-log' && cp -R '.skill-downloads/edge-log-proof-mm78nnz9' '.agents/skills/edge-log'

OpenSkills

OpenSkills must already be installed. The local install/read procedure is checked with OpenSkills 1.5.0, which requires Node.js ≥ 20.6.0. Catalog slugs are not resolved automatically.

Official OpenSkills installation
openskills install './.skill-downloads/edge-log-proof-mm78nnz9'

openskills read 'edge-log-proof-mm78nnz9'

Reading should display the installed file content and its base directory. It does not run the skill or install its dependencies.

For an agent that reads AGENTS.md, then sync the index. This command changes AGENTS.md: review the diff before using it.

openskills sync

Manual method or another tool: attach SKILL.md to a conversation, or open it in an agent that can read files. Include any required supporting resources. No universal folder is recognized by every tool.

4. Try a first task

Use a short, synthetic input: an API endpoint, a small document or an interface brief. In a new conversation, attach the file or give the agent its path, then adapt this request:

Read .skill-downloads/edge-log-proof-mm78nnz9/SKILL.md and apply its instructions to this example: [describe a test input]. Identify any missing files, dependencies or access. Produce the result requested by the skill without inventing data or running unreviewed scripts.

Expected result: output matching the skill instructions, or a precise list of missing prerequisites. A read confirmation alone does not validate a first use. If an external resource is unavailable, that path remains untested.

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