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 omnigentx/jarvis --skill code-reviewgit clone --depth 1 https://github.com/omnigentx/jarvisWrote 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/omnigentx/jarvis/code-review)<a href="https://agentmods.dev/skills/omnigentx/jarvis/code-review"><img src="https://agentmods.dev/badge/skills/omnigentx/jarvis/code-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/omnigentx/jarvis/code-review"><img src="https://agentmods.dev/badge/skills/omnigentx/jarvis/code-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 | $0.00012 | $0.00450 |
| Opus 5.5 | $0.00005 | $0.00180 |
| Sonnet 5.5 | $0.00002 | $0.00090 |
| Haiku 4.5 | $0.00001 | $0.00045 |
Grade A, and why
code-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
Code Review Skill
You are performing a code review. Follow this protocol for consistent, actionable feedback.
Review Process
Step 1: Understand the Context
- Read the project brief and any related documentation in the workspace
- Understand what the author was trying to accomplish
- Check
team_roster.jsonto know who wrote what
Step 2: Review the Code
- Read all relevant files in the workspace
- Check for:
- Correctness — Does the code do what it's supposed to?
- Quality — Is it readable, maintainable, well-structured?
- Edge cases — Are there unhandled scenarios?
- Security — Any obvious security issues?
- Performance — Any obvious performance problems?
Step 3: Write Your Review
Write your review to: reviews/<step_name>_review.md
Include:
- Summary — Overall assessment
- Issues found — Specific problems with file/line references
- Suggestions — Improvements that aren't blockers
- Verdict — Your final decision
Step 4: Declare Verdict
Always end your review with one of these exact strings:
✅ When code is acceptable:
[DECISION] VERDICT: PASS — <brief reason>
❌ When code needs fixes:
[DECISION] VERDICT: FAIL — <brief reason with key issues>
Communication
After writing your review:
- Use
send_email(to="<author_name>", body="...", my_name="<your_name>")to notify the author - Include a summary of key issues if FAIL
- Be constructive — suggest fixes, don't just point out problems
As a Code Author (receiving review)
When you receive a FAIL verdict:
- Read the review feedback carefully
- Fix the identified issues in your workspace files
- Message the reviewer:
send_email(to="<reviewer_name>", body="Fixes applied, ready for re-review", my_name="<your_name>")
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 · 62 lines · 12 tokens per session scan A 28a1fb958292
code-review is a skill published in the GitHub repository omnigentx/jarvis (39 stars, last pushed 4d ago), licensed MIT. It adds 12 tokens to every session and 450 once invoked, about $0.0000 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"…
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…
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…
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…