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 lkimuk/Wuwe --skill reviewgit clone --depth 1 https://github.com/lkimuk/WuweWrote 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/lkimuk/wuwe/review)<a href="https://agentmods.dev/skills/lkimuk/wuwe/review"><img src="https://agentmods.dev/badge/skills/lkimuk/wuwe/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/lkimuk/wuwe/review"><img src="https://agentmods.dev/badge/skills/lkimuk/wuwe/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 | $0.00000 | $0.00034 |
| Opus 5.5 | $0.00000 | $0.00014 |
| Sonnet 5.5 | $0.00000 | $0.00007 |
| Haiku 4.5 | $0.00000 | $0.00003 |
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 skill
Review the supplied artifact for correctness, security, maintainability, and test coverage. Report concrete findings before general suggestions, and distinguish verified defects from risks.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 5 lines · 0 tokens per session scan A 02a614403ae2
review is a skill published in the GitHub repository lkimuk/Wuwe (87 stars, last pushed 6d ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 34 tokens. 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
quality-gate
Orchestrates the QUALITY pipeline stage for egregore work items, running code review, unbloat, and test updates. Use when running quality checks before a PR.
aiox-qa
Test Architect & Quality Advisor (Quinn). Use for comprehensive test architecture review, quality gate decisions, and code improvement. Provides thorough analysis including requ...
apply-qa-fixes
Apply QA gate findings then hand back for re-review. Never self-approves or closes. Use when: apply QA fixes, remediate gate FAIL/CONCERNS, /apply-qa-fixes.
design-reviewer
Use after AC and before RED for any wave that ships UI. Performs component API audit against installed dist files, produces per-route mockup, defines visual ACs, flags design-system gaps. Output written to .wave/dr.md.
teet-verify
Use only after the user has approved the GREEN screenshot. Performs True End-to-End Testing across backend, frontend, DB, and external services with computed-style and boundingBox assertions, producing the final wave evidence pack.
ac-writer
Use as the first phase of a wave. Drafts brutal, testable acceptance criteria for a feature. Each AC must be falsifiable by a real-world test. Output written to .wave/ac.md.