Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/justomsharma/github-resume-assistant/self-reviewnpx skills add justomsharma/github-resume-assistant --skill self-reviewgit clone --depth 1 https://github.com/justomsharma/github-resume-assistantWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/justomsharma/github-resume-assistant/self-review)<a href="https://agentmods.dev/skills/justomsharma/github-resume-assistant/self-review"><img src="https://agentmods.dev/badge/skills/justomsharma/github-resume-assistant/self-review.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00046 | $0.00365 |
| Opus 5 | $0.00023 | $0.00182 |
| Sonnet 5 | $0.00009 | $0.00073 |
| Haiku 4.5 | $0.00005 | $0.00036 |
Grade A, and why
self-review scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
self-review
Review the working diff like a skeptical reviewer who did NOT write it. This is the last check before committing.
Look at the actual diff
git status
git diff
Review checklist (in order)
- Correctness — Does it do what was intended? Trace the logic. Any off-by-one, null case, or missed branch? Especially: the empty-GitHub path.
- Secrets — Scan every changed line. No
GITHUB_TOKEN,ANTHROPIC_API_KEY, or any key/credential..envmust not be staged. - Scope — Only the intended files changed? No stray edits, no scope creep
beyond the approved
/plan-firstapproach or the ROADMAP item? - Practices (CODING_PRACTICES.md) — Types present? Error handling on external
calls?
core/free of MCP imports? No bareexcept, no dead code, no debug prints? - Tests (TESTING.md) — Are the changes actually covered? External calls mocked?
Outcome
- If issues found: fix them now (or return to
/implement//plan-firstif the problem is deeper), then re-review. - If clean: summarize what changed in 2–3 lines for the commit/PR.
Handoff
Once the diff is clean → hand off to /commit-push.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 4d ago First seen · 39 lines · 46 tokens per session scan A dad61e96e75b
self-review is a skill published in the GitHub repository justomsharma/github-resume-assistant (0 stars, last pushed 1mo ago), licensed MIT. It adds 46 tokens to every session and 365 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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