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
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
How this analysis is madeExamples
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
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 filesThis 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.mdFrom 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 installationopenskills 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 syncManual 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.
PDF Reader
Productivity
Read and extract text from PDF files, including documents, reports, contracts, and spreadsheets. Works with local files, URLs, and WhatsApp attachments. Use whenever PDF content is needed, even if not explicitly requested.
Discord Messaging Workflows
Productivity
Use the message tool to send, edit, and moderate Discord messages with interactive components.
Interactive Verdict Preview
Productivity
Generate an interactive HTML preview of keep/drop verdicts for maintainer review, then process the pasted feedback JSON.