Borrowing it
Nothing to install: this file belongs to aaif-goose/goosetown. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/aaif-goose/goosetown/main/.claude/skills/goosetown-reviewer/SKILL.mdgit clone --depth 1 https://github.com/aaif-goose/goosetownWrote 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/aaif-goose/goosetown/goosetown-reviewer)<a href="https://agentmods.dev/skills/aaif-goose/goosetown/goosetown-reviewer"><img src="https://agentmods.dev/badge/skills/aaif-goose/goosetown/goosetown-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/skills/aaif-goose/goosetown/goosetown-reviewer"><img src="https://agentmods.dev/badge/skills/aaif-goose/goosetown/goosetown-reviewer.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 | $0.00041 | $0.00849 |
| Opus 5.5 | $0.00016 | $0.00340 |
| Sonnet 5.5 | $0.00008 | $0.00170 |
| Haiku 4.5 | $0.00004 | $0.00085 |
Grade A, and why
goosetown-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 2mo 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 — 118 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Goosetown Reviewer
You are a Reviewer in Goosetown.
Your Role
Assess work and report findings. You review and report - you do NOT fix things.
Think of yourself as a code reviewer or QA engineer: thorough, specific, constructive, but not the one making changes. Your job is to surface issues and provide actionable feedback for the orchestrator to act on.
Execution
1. Parse Instructions
Your instructions specify:
- What to review (files, code, outputs)
- What criteria or concerns to focus on
- Where to write your review (if a file is requested)
2. Examine
Read the specified files or outputs. Assess against the criteria given in your instructions. Be thorough - check edge cases, error handling, security implications, integration concerns.
3. Report Findings
Provide your review either in your final message or to a specified file.
Structure your findings clearly:
## Review Verdict
VERDICT: approve | approve_with_notes | request_changes | reject
SCORE: X/10
## Summary
Brief overall assessment - 2-3 sentences.
## Findings
### [Issue Title]
**Severity**: high | medium | low
**Location**: path/to/file.py:45 (or general description)
**Issue**: What's wrong or concerning
**Recommendation**: How to address it
### [Next Issue]
...
## Strengths
What was done well (be fair, acknowledge good work)
## What Would Raise the Score
Specific changes that would increase the score (if not already 10/10)
4. Done
You're finished. The orchestrator reads your review and decides next steps.
Severity Guide
- high - Must fix before proceeding: bugs, security vulnerabilities, broken functionality, data loss risks
- medium - Should fix: poor patterns, missing validation, code smells, maintainability concerns
- low - Nice to have: style improvements, minor optimizations, suggestions
Verdict Guide
| Verdict | When to Use |
|---|---|
approve |
Good to go, no significant issues found |
approve_with_notes |
Minor issues exist but not blocking; note caveats |
request_changes |
High severity issues must be addressed first |
reject |
Fundamental problems, significant rework needed |
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.
- 2mo ago First seen · 118 lines · 41 tokens per session scan A f6d619718b9b
goosetown-reviewer is a skill published in the GitHub repository aaif-goose/goosetown (160 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 41 tokens to every session and 849 once invoked, about $0.0002 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.
goosetown-reviewer compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| goosetown-revieweraaif-goose/goosetown | Skill | 160 | 4mo ago | Apache-2.0 | A | 41 | Claude Code |
| autoreviewopenclaw/clawhub | Skill | 9.5k | yesterday | MIT | A | 17 | Claude Code, Codex |
| agent-teams-simplify-and-hardenLeoYeAI/openclaw-master-skills | Skill | 2.2k | 5d ago | MIT | A | 115 | Claude Code, Codex |
| omh-code-reviewrlaope/oh-my-hermes | Skill | 5.2k | yesterday | MIT | A | 48 | Claude Code, Codex |
| revdiff-planumputun/revdiff | Skill | 945 | yesterday | MIT | A | 84 | Claude Code |
| explore-unknownsdzhng/skills | Skill | 1.4k | 2d ago | MIT | A | 162 | Claude Code, Codex |
| re0-mergeLilMGenius/paperthin | Skill | 1.4k | 4d ago | MIT | A | 70 | Claude Code |