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 ribeirogab/specwright --skill reviewgit clone --depth 1 https://github.com/ribeirogab/specwrightWrote 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/ribeirogab/specwright/review)<a href="https://agentmods.dev/skills/ribeirogab/specwright/review"><img src="https://agentmods.dev/badge/skills/ribeirogab/specwright/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/ribeirogab/specwright/review"><img src="https://agentmods.dev/badge/skills/ribeirogab/specwright/review.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00107 | $0.02948 |
| Opus 5.5 | $0.00043 | $0.01179 |
| Sonnet 5.5 | $0.00021 | $0.00590 |
| Haiku 4.5 | $0.00011 | $0.00295 |
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.
How it starts
The opening of the file, as written. The whole thing — 213 lines — stays where its author put it; the contents beside it link to each section on GitHub.
review — review against the universal standard and the project's conventions
You are about to write a code review. LLM training pushes you toward headers, emojis, and praise — override it. The review is plain text and MUST match one of the four templates below. There are no other valid shapes. Findings only enforce the universal coding standard below and what the repo already defines; this skill does not invent taste.
Forbidden in your output
- Any emoji or pictograph.
- Any markdown header (
#/##/###), e.g.## Review,### Blocker. - Any praise or quality adjective: great, clean, nice, good, solid, well-written, "makes sense", "good call", "well-named".
- Any signature line, summary table, score, or "positives" section.
- Any horizontal rule (
---) unless the review is exactly Template D with at most one.
The reviewer's standard — read BEFORE reviewing
The review enforces two things, in this order:
- The universal coding standard below — the reviewer's built-in rubric. It always applies.
- The project's own standards, read from every applicable canonical
AGENTS.mdorAGENTS.override.mdfor the areas the diff touches. ACLAUDE*.mdpath is only a host adapter symlink, never the canonical source. When such a file carries a## Conventionssection, open every document it links and treat each as a project standard — a linked convention is as binding as one written inline, and skipping the links silently drops coverage.
A finding that maps to a rubric rule or a convention cites it by name (e.g. "Meaningful Comments", "Modularity", "skill-validation convention").
Universal coding standard
The reviewer's built-in rubric. PROJECT-SPECIFIC standards come from the canonical AGENTS instructions and the conventions they link; the rules here are the floor that always holds. Findings may cite a rubric rule by name (e.g. "Meaningful Comments", "Modularity").
Unix/ESR philosophy rules:
- Modularity — simple parts joined by clean interfaces; no tangled cross-coupling.
- Clarity — clarity beats cleverness; code reads for the next human.
- Composition — design pieces to connect to other pieces.
- Separation — separate policy from mechanism, interface from engine.
- Simplicity — design for simplicity; add complexity only where forced.
- Parsimony — write a big component only when nothing smaller will do; no speculative scope.
- Transparency — design for visibility so inspection and debugging stay easy.
- Robustness — robustness follows from transparency and simplicity.
- Representation — fold knowledge into data so the logic stays stupid and robust.
- Least Surprise — do the least surprising thing at every interface.
- Silence — when there is nothing surprising to say, say nothing (no noise output, no dead logging).
- Repair — when you must fail, fail noisily and as early as possible.
- Economy — programmer time is expensive; conserve it over machine time.
- Generation — prefer generating code over hand-hacking when you can.
- Optimization — prototype before polishing; get it working before making it fast.
- Diversity — distrust any claim of the "one true way".
- Extensibility — design for the future; it arrives sooner than expected.
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 · 213 lines · 107 tokens per session scan A 8681009bed67
review is a skill published in the GitHub repository ribeirogab/specwright (3 stars, last pushed 2mo ago), licensed MIT. It adds 107 tokens to every session and 2,948 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 2026-08-31.
Other skills, from other repositories
review-depth
Decide how much review a change has earned, before reviewing it. Selects quick, standard, or deep from stated signals (reviewable changed lines, directory spread, trust-boundary risk flags, blast radius, documentation-only scope), reports the signal table and the rule that fired, then runs house-review at the selected…
spec-conformance
Use when closing a spec-driven feature or issue, or auditing whether an implementation actually matches its spec. Given a spec path, emits a section-by-section conformance matrix mapping every scenario and proposed surface element to conformed (with file:line or test evidence), diverged (what, why, and both sides), or…
house-review
Review a code change against an explicit house rubric and severities, and produce a structured, severity-ranked markdown review, without editing or committing anything. Determines the review range (the current branch against its merge-base with the default branch, with a working-tree fallback), applies the…
open-code-review
Performs AI-powered code review on Git changes using the ocr CLI from alibaba/open-code-review. Use when the user asks to review code, review a pull request, review staged/unstaged changes, review a commit, or compare branches for code quality issues. Produces line-level review comments and can automatically apply…
review
Comprehensive security and correctness audit. Use for review, deep review, thermo nuclear, or thermonuclear requests and branch or PR diff audits.
gsd-ns-review
quality gates | code review debug audit security eval ui.