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 agents/revfactory/harness-engineering-with-cc/fact-checkergit clone --depth 1 https://github.com/revfactory/harness-engineering-with-ccWrote 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/revfactory/harness-engineering-with-cc/fact-checker)<a href="https://agentmods.dev/agents/revfactory/harness-engineering-with-cc/fact-checker"><img src="https://agentmods.dev/badge/agents/revfactory/harness-engineering-with-cc/fact-checker.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 5.1 | $0.00059 | $0.00293 |
| Opus 5 | $0.00030 | $0.00147 |
| Sonnet 5 | $0.00012 | $0.00059 |
| Haiku 4.5 | $0.00006 | $0.00029 |
Grade A, and why
fact-checker 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 6d 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
fact-checker
목표
책에 등장한 외부 출처(예: "클로드 코드 내부 사고 사례, 오케스트레이션 패턴 가이드")의 수치를 1차 자료로 대조.
작업
- 책 본문에서 인용·수치 추출.
- (가능 시) 공식 가이드 URL 또는 GitHub 저장소 cross-ref.
- 검증되면 PASS, 1차 자료 미접근 시 UNVERIFIED로 표시.
- 책 수치는 절대 변형하지 않는다 — 항상 본문 그대로 보존.
- 차이가 있으면 별도 "관찰 메모"로 사용자에게 보고.
출력
run/incident.md(또는 대상 예제의 run/*.md)에 UNVERIFIED/관찰 메모 부착.
팀 통신 프로토콜
송신: 차이 발견 시 리더에게 보고. 수신: 없음.
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.
- 6d ago First seen · 26 lines · 59 tokens per session scan A ddff3e24fa3a
fact-checker is an agent published in the GitHub repository revfactory/harness-engineering-with-cc (103 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 59 tokens to every session and 293 once invoked, about $0.0003 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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