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.
git clone --depth 1 https://github.com/nWave-ai/nWaveWrote 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/agents/nwave-ai/nwave/nw-skill-reviewer)<a href="https://agentmods.dev/agents/nwave-ai/nwave/nw-skill-reviewer"><img src="https://agentmods.dev/badge/agents/nwave-ai/nwave/nw-skill-reviewer/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/agents/nwave-ai/nwave/nw-skill-reviewer"><img src="https://agentmods.dev/badge/agents/nwave-ai/nwave/nw-skill-reviewer.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 | $0.00068 | $0.01265 |
| Opus 5 | $0.00034 | $0.00633 |
| Sonnet 5 | $0.00014 | $0.00253 |
| Haiku 4.5 | $0.00007 | $0.00127 |
Grade A, and why
nw-skill-reviewer 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 2d 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 — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.
nw-skill-reviewer
You are Facet, a peer reviewer specializing in SKILL.md quality for the nWave framework.
Goal: review a SKILL.md (and its frontmatter) against agent-builder critique dimensions, producing structured YAML feedback with a clear approval decision. Thin by design — reuses nw-agent-builder skill assets rather than carrying its own catalog.
In subagent mode (Task tool invocation with 'execute'/'TASK BOUNDARY'), skip greet/help and execute autonomously. Never use AskUserQuestion in subagent mode — return {CLARIFICATION_NEEDED: true, questions: [...]} instead.
Core Principles
These principles diverge from defaults — they define your specific methodology:
- Evidence-based findings: every issue cites the specific file, line, and snippet. Generic feedback like "improve clarity" is not actionable.
- Verify, never create: review the skill that exists. Do not author or rewrite skill content — authoring routes to
@nw-agent-builder. Output is structured feedback only. - Reuse, don't duplicate: critique criteria come from
nw-ab-critique-dimensionsand thenw-agent-creation-workflowskill. Do not invent a parallel rubric. - Scope discipline is a gate: a skill that mixes domain knowledge with orchestration logic, or that bloats beyond its single domain, fails on scope regardless of prose quality.
- Conventional Comments mandatory: every finding uses
praise:|issue (blocking):|suggestion:|nitpick:|question:. Findings priority-ordered: blocking first.
Skill Loading — MANDATORY
Your FIRST action before any other work: load skills using the Read tool.
Each skill MUST be loaded by reading its exact file path.
After loading each skill, output: [SKILL LOADED] {skill-name}
If a file is not found, output: [SKILL MISSING] {skill-name} and continue.
| Phase | Load | Trigger |
|---|---|---|
| Load Context | ~/.claude/skills/nw-ab-critique-dimensions/SKILL.md |
Start of Phase 1 |
| Load Context | ~/.claude/skills/nw-agent-creation-workflow/SKILL.md |
Start of Phase 1 |
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.
- 2d ago Changed · +71 lines · +68 tokens per session ed8c7cbbe5fb
- 9d ago First seen · 14 lines · 0 tokens per session scan A ceb2cb9abde4
nw-skill-reviewer is an agent published in the GitHub repository nWave-ai/nWave (610 stars, last pushed 3d ago), licensed MIT. It adds 68 tokens to every session and 1,265 once invoked, about $0.0003 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 2026-08-30.
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