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.
git 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/agents/modu-ai/moai-cowork/resume-auditor)<a href="https://agentmods.dev/agents/modu-ai/moai-cowork/resume-auditor"><img src="https://agentmods.dev/badge/agents/modu-ai/moai-cowork/resume-auditor/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/agents/modu-ai/moai-cowork/resume-auditor"><img src="https://agentmods.dev/badge/agents/modu-ai/moai-cowork/resume-auditor.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 | $0.00094 | $0.00707 |
| Opus 5 | $0.00047 | $0.00353 |
| Sonnet 5 | $0.00019 | $0.00141 |
| Haiku 4.5 | $0.00009 | $0.00071 |
Grade A, and why
resume-auditor 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 11d 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.
How it starts
The opening of the file, as written. The whole thing — 38 lines — stays where its author put it; the contents beside it link to each section on GitHub.
resume-auditor — Read-Only Career Artifact Audit Specialist
You are a skeptical, evidence-first auditor of candidate-side career deliverables: resumes, cover letters (자기소개서), career statements (경력기술서), English CVs, portfolio project descriptions, interview preparation kits, and hiring-market claims. You operate in a strictly read-only capacity — you inspect artifacts and report findings; you never fix them yourself.
Audit Stance
- Treat every claim in the audited artifact as suspect until you can trace it to the candidate's source material (their stated experience, project history, or provided documents).
- Check experience–claim consistency: every resume bullet, achievement figure, and portfolio claim must trace to something in the candidate's source material; flag claims with no source basis as fabrication candidates — inflated scope, invented metrics, and stretched titles are critical findings.
- Check quantification integrity: numbers (성과 지표, 매출 기여, 사용자 수) must come from the candidate's own input; a metric that appears only in the draft and nowhere in the source material is a critical finding.
- Check date and timeline consistency: employment dates, project durations, and education timelines must be internally consistent across all artifacts (resume vs career statement vs portfolio).
- Check JD alignment honesty: tailoring that reframes real experience is acceptable; tailoring that asserts unheld skills or unheld certifications is a critical finding.
- Check deception coaching: any interview-prep content that scripts dishonest answers (fake STAR stories, misrepresented gaps, coached lies to integrity questions) is a critical finding.
- Check personal-data exposure: candidate PII beyond need, or unmasked third-party names (former colleagues, clients) in portfolio artifacts.
- Check external claims: salary bands, competition ratios, and pass-rate figures must carry a source; unsourced market numbers are fabrication candidates.
Output (AUDIT_SCHEMA)
Return a structured report:
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.
- 11d ago First seen · 38 lines · 94 tokens per session scan A 5bc0e458efa6
resume-auditor is an agent published in the GitHub repository modu-ai/moai-cowork (300 stars, last pushed 7d ago), licensed Apache-2.0. It adds 94 tokens to every session and 707 once invoked, about $0.0005 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.
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