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 modu-ai/moai-cowork --skill career-claim-auditgit clone --depth 1 https://github.com/modu-ai/moai-coworkWrote 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/modu-ai/moai-cowork/career-claim-audit)<a href="https://agentmods.dev/skills/modu-ai/moai-cowork/career-claim-audit"><img src="https://agentmods.dev/badge/skills/modu-ai/moai-cowork/career-claim-audit/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/modu-ai/moai-cowork/career-claim-audit"><img src="https://agentmods.dev/badge/skills/modu-ai/moai-cowork/career-claim-audit.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 | $0.00503 |
| Opus 5.5 | $0.00027 | $0.00201 |
| Sonnet 5.5 | $0.00014 | $0.00101 |
| Haiku 4.5 | $0.00007 | $0.00050 |
Grade A, and why
career-claim-audit 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 17d 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
커리어 자료 주장 검수
지원자가 제공한 이력과 산출물을 읽기 전용으로 대조한다.
- 모든 경력·프로젝트·성과·자격 주장이 지원자의 자료에서 확인되는지 기록한다. 채용공고에 맞춘 표현 변경과 실제로 갖지 않은 역량 주장 사이를 구분한다.
- 성과 숫자가 원자료에 없는 경우 발명이라고 단정하기 전에 근거 부재로 표시하고 확인을 요청한다. 날짜·재직 기간·직함이 여러 산출물에서 일치하는지 대조한다.
- 모의면접 답변에 허구의 STAR 사례, 허위 공백 사유, 기만적 답변이 들어갔는지 확인한다.
- 지원자·제3자의 개인정보가 목적에 비해 과도하게 포함됐는지 확인한다. 급여·경쟁률 등 시장 수치는 출처와 기준 시점을 확인한다.
보고서는 판정(PASS/FAIL/미확인), 확인 자료, 주장별 근거, 위치·근거가 있는 발견, 미검증 항목으로 작성한다. 주장별로 산출물의 위치, 지원자의 원자료, 뒷받침 여부를 대응시킨다. 모든 경력·수치·날짜 주장이 원자료로 확인된 경우에만 전체 사실성을 PASS로 판정한다. 미검증 주장이 하나라도 있고 확인된 모순은 없으면 전체 사실성을 미확인으로 판정한다. 확인된 경력·수치 날조나 기만적 면접 답변은 FAIL로 판정한다. 독립된 검수자를 실행하지 않았다면 독립 감사라고 부르지 않는다.
Claude의 resume-auditor 에이전트와 목적이 겹친다. ChatGPT 플러그인에서는 이 스킬이 발견 가능한 진입점이다.
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.
- 17d ago Changed · +1 lines b4c7a5abf1fb
- 28d ago First seen · 20 lines · 68 tokens per session scan A 286262280949
career-claim-audit is a skill published in the GitHub repository modu-ai/moai-cowork (311 stars, last pushed 15d ago), licensed Apache-2.0. It adds 68 tokens to every session and 503 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 2026-09-26.
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