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 Adelie-Squad/solosquad --skill primitive-reviewgit clone --depth 1 https://github.com/Adelie-Squad/solosquadWrote 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/adelie-squad/solosquad/primitive-review)<a href="https://agentmods.dev/skills/adelie-squad/solosquad/primitive-review"><img src="https://agentmods.dev/badge/skills/adelie-squad/solosquad/primitive-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/adelie-squad/solosquad/primitive-review"><img src="https://agentmods.dev/badge/skills/adelie-squad/solosquad/primitive-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 | $0.00076 | $0.00784 |
| Opus 5.5 | $0.00030 | $0.00314 |
| Sonnet 5.5 | $0.00015 | $0.00157 |
| Haiku 4.5 | $0.00008 | $0.00078 |
Grade A, and why
primitive-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
Asset Review Skill
정적 validate(kebab id·순환·참조 무결성)가 잡지 못하는 품질·판단 문제를 LLM 관점으로 검토한다.
CLI solosquad <manager> review 를 대체하는 대화형 표면 — review 는 비결정적 출력이라 CLI/CI 게이트가
아니라 Chief 와의 대화에서 수행한다(v1.3.2 conversational-first 결정).
입력
- kind: skill | agent | workflow | goal | cron
- id/경로: 검토 대상 (예:
product/product-manager,workflows/market-research/workflow.yaml) - (선택) 정적 validate 결과 — 이미 알려진 finding 은 반복하지 않는다.
절차
- 대상 정의를 읽는다(
solosquad agent show <id>/workflow show/ 파일 직접). - 먼저
solosquad <manager> validate로 정적 검증을 돌려 그 결과를 컨텍스트로 둔다. - kind 별 렌즈로 판단 문제만 짚는다(정적 규칙이 잡는 건 제외):
- skill — description 이 3인칭·구체적이라 라우팅 가능한가? process 가 실행 가능한가? 단일 목적인가?
- agent — 팀 내 다른 actor 와 역할이 구별되나? 명확한 escalation/handoff 경로가 있나? collaborator 가 과배선 아닌가?
- workflow — 각 stage 의 exit_criteria 가 실제로 측정 가능한가? handoff 순서가 합리적인가? fixed/agentic 선택이 맞나?
- goal — success metric 이 객관적·판정 가능한가? 가드레일(budget/cycles)이 적정한가? modifiable_paths 가 좁게 잡혔나?
- cron — cadence 가 prompt 의도와 맞나? channel 이 kind 에 맞나? prompt 가 무인 실행에 자족적인가?
- 제안을 severity 로 분류해 제시: blocker(고쳐야 함) / improvement(권장) / nit(사소).
출력
- 한 줄 요약 + severity 태그된 actionable 제안 목록.
- anti-sycophancy: 문제가 없으면 "문제 없음"이라고 분명히 말한다 — 억지 제안 금지.
비범위
- 정적 규칙으로 잡히는 것(id 형식·순환·깨진 참조)은
validate의 몫. 여기서 반복하지 않는다. - 자동 수정은 하지 않는다 — 제안만. 적용은 사용자/author 루프가 결정.
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 · 52 lines · 76 tokens per session scan A 3eb6d3486fc7
primitive-review is a skill published in the GitHub repository Adelie-Squad/solosquad (25 stars, last pushed today), licensed MIT. It adds 76 tokens to every session and 784 once invoked, about $0.0003 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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