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 TOKTOKHAN-DEV/agent-company --skill review-specgit clone --depth 1 https://github.com/TOKTOKHAN-DEV/agent-companyWrote 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/toktokhan-dev/agent-company/review-spec)<a href="https://agentmods.dev/skills/toktokhan-dev/agent-company/review-spec"><img src="https://agentmods.dev/badge/skills/toktokhan-dev/agent-company/review-spec/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/toktokhan-dev/agent-company/review-spec"><img src="https://agentmods.dev/badge/skills/toktokhan-dev/agent-company/review-spec.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 | $0.00002 | $0.00569 |
| Opus 5.5 | $0.00001 | $0.00228 |
| Sonnet 5.5 | $0.00000 | $0.00114 |
| Haiku 4.5 | $0.00000 | $0.00057 |
Grade A, and why
review-spec 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-spec
명세는 한 번 쓰고 끝나지 않는다. 심사 기준이 갱신되고, 구현하면서 알게 된 것이 생긴다.
1. 대상을 정한다
ls specs/*.md
pnpm preflight # 어떤 명세가 error 인지
2. 심사 체크리스트와 대조한다
wiki/04-review-checklist.md 를 열고, 이 기능이 건드리는 영역을 위에서부터 훑는다.
특히 놓치기 쉬운 것:
| 영역 | 자주 빠지는 항목 |
|---|---|
| 내비게이션 | 뒤로가기 버튼이 두 개 동시에 보이지 않는가 |
| 사용성 | 진입하자마자 바텀시트가 뜨지는 않는가 |
| 사용성 | 다른 앱 설치나 자사 서비스로 유도하지 않는가 |
| 권한 | 권한이 거부돼도 기능이 도는가 |
| 로그인 | 토스 로그인 외 다른 로그인 수단을 만들지 않았는가 |
| 결제 | 취소하면 주문 화면으로 돌아오는가 |
| 광고 | 인트로·로딩·팝업 같은 임시 화면에 광고를 넣지 않았는가 |
3. 구현과 어긋난 곳을 찾는다
grep -n "path:" apps/miniapp/src/App.tsx # 실제 라우트
ls apps/miniapp/src/screens/ # 실제 화면
명세에 없는 화면이 있으면 둘 중 하나가 틀린 것이다. 화면을 지우거나 명세를 갱신한다. 임의로 판단하지 말고 사람에게 어느 쪽인지 묻는다.
4. 반려를 명세로 되돌린다
심사에서 반려됐다면 그 사유를 수용 기준으로 추가한다. 같은 이유로 두 번 반려되지 않게 하는 유일한 방법이다.
## 수용 기준
- [ ] (2026-08-07 반려 반영) 광고 시청 중 배경음이 멈춘다
완료 확인
pnpm preflight
출력
- 검토한 명세
- 추가한 수용 기준
- 명세와 구현이 어긋난 곳 (사람의 판단이 필요한 것)
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 · 66 lines · 2 tokens per session scan A 6aed0483c83c
review-spec is a skill published in the GitHub repository TOKTOKHAN-DEV/agent-company (85 stars, last pushed 2mo ago), licensed MIT. It adds 2 tokens to every session and 569 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.
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