self-review — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited self-review (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
Use this for important decisions. It is not a normal checklist. It separates plan creation, challenge, coverage checking, and final judgment.
Use this skill when:
Do not use it for small edits or routine tasks.
Use a JSON task file:
{
"context": "What problem are we solving?",
"constraints": "What must not be violated?",
"plan": "What proposal should be reviewed?"
}context and plan are required. constraints is optional but strongly recommended.
| Role | Job | Not Allowed |
|---|---|---|
| Plan author | Writes the plan in the main conversation | Does not review itself |
| Challenger | Finds risks, edge cases, and failure paths | Does not comfort or propose alternatives |
| Coverage checker | Checks whether the plan already addresses each challenge | Does not rank or fix the plan |
| Final judge | Main agent decides what to change or accept | Does not ignore uncovered risks |
Checkpoint: the plan can be understood without reading the current chat.
Use examples/decision-review-task.json as a template.
Checkpoint: the JSON parses and contains context, constraints, and plan.
python3 scripts/self_review.py self-testCheckpoint: the command exits successfully.
If you configured ~/.config/personal-agent.env, run:
python3 scripts/self_review.py review examples/decision-review-task.json --challenge-out tmp/challenge.json --coverage-out tmp/coverage.json --out tmp/review.jsonOn Windows, use python if python3 is not available.
The script uses Python standard library HTTP calls, so it does not require third-party Python packages.
Checkpoint: challenge and coverage files are generated.
The main agent must summarize results like this:
| Challenge | Coverage | Risk Level | Decision |
|---|---|---|---|
| ... | covered/partial/uncovered | critical/important/acceptable | change now / defer / accept |Checkpoint: every important challenge has a decision.
If the review changes the plan, record the decision in memory/decisions.md or feedback/log.md.
Checkpoint: future agents can see why the plan changed.
self-test only, or configure OPENAI_API_KEY.OPENAI_MODEL or pass --model.~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.