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-workflowgit 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-workflow)<a href="https://agentmods.dev/skills/modu-ai/moai-cowork/career-workflow"><img src="https://agentmods.dev/badge/skills/modu-ai/moai-cowork/career-workflow/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-workflow"><img src="https://agentmods.dev/badge/skills/modu-ai/moai-cowork/career-workflow.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 | $0.00067 | $0.00520 |
| Opus 5.5 | $0.00027 | $0.00208 |
| Sonnet 5.5 | $0.00013 | $0.00104 |
| Haiku 4.5 | $0.00007 | $0.00052 |
Grade A, and why
career-workflow 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
구직자 커리어 작업 경로
- 지원자의 실제 경력, 목표 직무·회사, 필요한 산출물과 기준을 확인한다. 이력서·채용공고·프로젝트 이력 등 필수 자료가 없으면 현재 런타임의 질문 채널로 묻는다. 질문할 수 없는 하위 실행에서는 누락 자료를 blocker로 반환한다.
- 이력서·자기소개서는
career-resume, 포트폴리오는career-portfolio, 면접은career-interview, 이직 계획은career-transition, 첫 직장 적응은career-junior-onboarding의 지침을 따른다. - 지원자가 실제로 한 일과 수치만 쓴다. 채용공고에 맞춘 표현 변경은 가능하지만 경력·자격·성과를 만들어 넣지 않는다. 숫자가 없으면 지원자에게 확인할 항목으로 남긴다.
- 채용시장 수치와 급여 범위는 현재 출처를 확인하고 기준 시점을 표시한다. 민감한 개인정보는 요청된 산출물에 필요한 범위만 보존하고 제3자 이름은 기본적으로 가린다.
- 최종 산출물의 주장과 날짜는
career-claim-audit기준으로 대조한다. 최종 이력서·자기소개서, 포트폴리오 프로젝트 설명, 채용 관행·급여 주장처럼 결과에 영향이 큰 산출물은 현재 런타임에서 별도 검수자를 실행할 수 있으면 산출물과 원자료를 전달해 독립 검수를 요청한다. 별도 검수자를 실행할 수 없으면 직접 대조한 범위와 독립 검수 미실시를 분리해 보고한다. 확인하지 못한 주장은 확인 필요로 표시한다.
Claude의 career-coach 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 3ba4c2eedebb
- 28d ago First seen · 17 lines · 67 tokens per session scan A 03af05b373de
career-workflow is a skill published in the GitHub repository modu-ai/moai-cowork (311 stars, last pushed 15d ago), licensed Apache-2.0. It adds 67 tokens to every session and 520 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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