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/imgompanda/fireauto/fireauto-mem-compile-guidenpx skills add imgompanda/fireauto --skill fireauto-mem-compile-guidegit clone --depth 1 https://github.com/imgompanda/fireautoWrote 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/imgompanda/fireauto/fireauto-mem-compile-guide)<a href="https://agentmods.dev/skills/imgompanda/fireauto/fireauto-mem-compile-guide"><img src="https://agentmods.dev/badge/skills/imgompanda/fireauto/fireauto-mem-compile-guide.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 | $0.00116 | $0.00431 |
| Opus 5 | $0.00058 | $0.00216 |
| Sonnet 5 | $0.00023 | $0.00086 |
| Haiku 4.5 | $0.00012 | $0.00043 |
Grade A, and why
fireauto-mem-compile-guide 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.
What it actually says
지식 컴파일 가이드
축적된 개발 지식을 구조화된 문서로 종합합니다. Andrej Karpathy의 LLM Knowledge Base 워크플로우에서 영감을 받았어요.
언제 컴파일하나요?
- 프로젝트 마일스톤 완료 시
- 인수인계나 문서화가 필요할 때
- 회고(retrospective) 시
- 사용자가 명시적으로 요청할 때
- 지식이 20건 이상 쌓였을 때
컴파일 형식
| 형식 | 용도 |
|---|---|
wiki |
전체 지식 베이스 — 패턴, 결정, 주의사항, 버그 이력 카테고리별 |
summary |
핵심 요약 — 프로젝트 한 줄 요약 + 핵심 포인트 |
lessons |
교훈 중심 — "이 프로젝트에서 배운 것" |
memory-compile 호출
memory-compile:
project: 현재 프로젝트명
format: wiki | summary | lessons
Health Check 활용
컴파일 전에 지식 DB의 건강 상태를 확인하면 좋아요:
- 고아 메모리 (관계 없는 메모리)
- 중복 메모리
- 내용이 빈약한 메모리
Worker API: GET /api/health-check?project={project}
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 · 48 lines · 116 tokens per session scan A 8d57f2a144f2
fireauto-mem-compile-guide is a skill published in the GitHub repository imgompanda/fireauto (140 stars, last pushed 4mo ago), licensed MIT. It adds 116 tokens to every session and 431 once invoked, about $0.0006 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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