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 agentmods add skills/rwliebs/dossier/polishnpx skills add rwliebs/Dossier --skill polishgit clone --depth 1 https://github.com/rwliebs/DossierWrote 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/rwliebs/dossier/polish)<a href="https://agentmods.dev/skills/rwliebs/dossier/polish"><img src="https://agentmods.dev/badge/skills/rwliebs/dossier/polish.svg" alt="Measured on agentmods" 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 | $0.00026 | $0.01827 |
| Opus 5 | $0.00013 | $0.00914 |
| Sonnet 5 | $0.00005 | $0.00365 |
| Haiku 4.5 | $0.00003 | $0.00183 |
Grade A, and why
polish 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 5d 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.
The source is not reproduced here
A licence we could not identify
The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.
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.
- 5d ago First seen · 202 lines · 26 tokens per session scan A c2c2a2677fec
polish is a skill published in the GitHub repository rwliebs/Dossier (88 stars, last pushed 1mo ago), with no licence file. It adds 26 tokens to every session and 1,827 once invoked, about $0.0001 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.
Other skills, from other repositories
agent-team
Skill "agent-team" from Dannykkh/skill-olympus, covering agent team — zephermine 섹션 병렬 실행, 다이달로스 vs 포세이돈, lead(pm) 핵심 원칙, 1. 조건부 외주화 — 병렬 이득이 있을 때 lead는 조율한다 and 2. 기억 외부화 — 기억력을 믿지 마라.
clio
마무리투수(Closer) + 역사의 뮤즈. 파이프라인 최종 점검(GO/NO-GO 판정) + 소스 기반 흐름도 추출 + 문서 산출물(PRD, 기술문서, 매뉴얼) 일괄 생성. /clio, 클리오, 마무리, 최종 점검, 산출물 생성 요청에 실행한다. 레거시 호출명은 /closer와 클로저다.
design-plan
아프로디테 디자인 오케스트레이터. 사이트 벤치마크 해부, 사용자 과업·메시지·CTA·신뢰·모바일 변환을 담은 Experience Contract, 실제 렌더 방향 탐색, DESIGN.md, 구현, 미학·UX·성능·접근성 검증과 학습까지 프론트 디자인 전 과정을 수행합니다. /aphrodite, 아프로디테, 디자인 계획, 프론트 디자인 요청에 사용합니다.
frontend-design
아프로디테(design-plan) 파이프라인의 Experience Contract와 DESIGN.md를 실제 렌더로 구현하고 비평하는 미학 실행 스킬. 레시피/CSV/anatomy/스캐폴드와 공식 플러그인이 없는 CLI(Codex/Antigravity)의 디자인 폴백을 제공한다. Claude Code의 일반 UI 요청은 공식 frontend-design 플러그인이 담당한다.
argos
준공검사 감리 스킬. 설계 산출물(spec, api-spec, qa-scenarios, flow-diagrams) 대비 구현을 정적·런타임·API·QA·도면·보안 관점으로 검증한다. 일반 diff 품질은 가용한 CLI 네이티브 리뷰에 위임하고 spec 대비 감리는 직접 소유한다. /argos로 실행한다.
social-login
Social Login Implementation Guide. 소셜 로그인(Google, Apple, Kakao, Naver) 구현 가이드. React Native(Expo), Swift, Kotlin, Web 환경. 소셜 로그인, social login, 카카오/네이버/구글/애플 로그인, KOE205, DEVELOPERERROR, keyHash 문제와 실전 gotcha 요청에 사용한다.