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 skills add haoruilee/oh-my-mcode --skill reviewgit clone --depth 1 https://github.com/haoruilee/oh-my-mcodeWrote 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/haoruilee/oh-my-mcode/review)<a href="https://agentmods.dev/skills/haoruilee/oh-my-mcode/review"><img src="https://agentmods.dev/badge/skills/haoruilee/oh-my-mcode/review/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/haoruilee/oh-my-mcode/review"><img src="https://agentmods.dev/badge/skills/haoruilee/oh-my-mcode/review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 5.1 | $0.00105 | $0.00476 |
| Opus 5.5 | $0.00042 | $0.00190 |
| Sonnet 5.5 | $0.00021 | $0.00095 |
| Haiku 4.5 | $0.00011 | $0.00048 |
Grade A, and why
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 1mo 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
Review
Read-only overlay on an existing run. Load agents/verifier.md posture for reading, but do not Accept. Only the verify skill may set Accepted.
中文名：只读评审。
Inputs
- Existing
run_idor latest run. - State tool:
node <plugin-root>/scripts/run-store.mjsoroh-my-mcode review.
Procedure
showthe run. Refuse if none exists. Do not create a new goal.- Read
plan.md,tasks.json,evidence/,findings.json, and the workspace diff. - Write
review.md/review.jsonvia the CLI (oh-my-mcode review) when available. Appendreview_completed. - Never call
write-findingswithverdict: accepted. Review cannot Accept.
Output contract
- Findings as notes. First sentence says this is a review, not acceptance.
- Run status is unchanged except for the review artifacts.
Failure handling
- No evidence: say so. Still do not Accept.
- Urge to merge or ship: hand off to
shiponly if status is alreadyaccepted.
Examples
User: review this run
Load latest run, write review notes, do not Accept.
User: re-verify this run against acceptance
Wrong skill. That is verify.
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.
- 1mo ago First seen · 51 lines · 105 tokens per session scan A d80a0a77b115
review is a skill published in the GitHub repository haoruilee/oh-my-mcode (51 stars, last pushed 2mo ago), licensed MIT. It adds 105 tokens to every session and 476 once invoked, about $0.0004 per session on Opus 5.5. 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 2026-08-30.
Other skills, from other repositories
autoreview
Structured code review through the shared OpenClaw agent-skills installation.
omh-code-review
This is an OMH code-review workflow skill, projected for Agent Skills hosts (Claude Code, Codex, Cursor, opencode, OpenClaw, pi).
revdiff-plan
Review the last Codex assistant message (plan, analysis, or proposal) with inline annotations in a TUI overlay. Extracts the most recent response from Codex rollout files and opens it in revdiff for review and annotation. Activates on "revdiff-plan", "review plan with revdiff", "annotate plan", "review last response"…
re0-merge
Review and land an external contribution the way this suite does: gate it against the thesis, land it with the author's credit intact, complete a new skill rather than merging it raw, then approve, credit, and explain before closing. Use when reviewing a pull request, as any collaborator or maintainer, not only the…
explore-unknowns
Guide the user through a quadrant walk that maps the unknowns of a task — open by listing the known knowns, then work through known unknowns, unknown knowns, and unknown unknowns one stage at a time, ending with a complete four-quadrant map in the user's hands. Use when a request is ambiguous or underspecified, the…
asplos-writing-style
Use when drafting or revising ASPLOS prose — engineering the first two pages that rapid review actually reads, stating the cross-layer insight as one quotable sentence, structuring per-layer mechanism sections, writing bounded claims, and fitting everything into 11 self-contained pages that include figures and…