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-guidenpx skills add imgompanda/fireauto --skill fireauto-mem-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-guide)<a href="https://agentmods.dev/skills/imgompanda/fireauto/fireauto-mem-guide"><img src="https://agentmods.dev/badge/skills/imgompanda/fireauto/fireauto-mem-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 | $0.00079 | $0.00503 |
| Opus 5 | $0.00039 | $0.00251 |
| Sonnet 5 | $0.00016 | $0.00101 |
| Haiku 4.5 | $0.00008 | $0.00050 |
Grade A, and why
fireauto-mem-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 4d 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
메모리 관리 가이드 (claude-mem 연동)
claude-mem이란?
claude-mem은 Claude Code에서 세션 간 기억을 관리하는 플러그인이다. 대화가 끝나도 중요한 정보를 기억하고, 다음 세션에서 불러올 수 있다.
설치 방법
# Claude Code 안에서
/plugin marketplace add thedotmack/claude-mem
/plugin install claude-mem@claude-mem
기본 기능
- 자동 저장: 중요한 발견, 결정, 패턴을 자동으로 메모리에 저장
- 검색: 메모리에서 키워드로 검색
- 타임라인: 시간순 작업 히스토리 추적
- 수동 저장:
save_memory로 직접 저장
fireauto와 함께 쓰기
/fireauto-research + 메모리
수요조사 결과를 저장 → 다음 조사 시 이전 결과와 비교 가능.
/fireauto-prd + 메모리
이전에 조사한 API, 경쟁사 정보를 자동 참조.
/fireauto-seo + 메모리
정기 감사 시 이전 결과와 비교하여 개선/악화 추적.
/fireauto-secure + 메모리
반복되는 취약점 패턴 발견.
/fireauto-team + 메모리
효과적이었던 워크스트림 분할 패턴 기억.
메모리 베스트 프랙티스
저장할 것
- 프로젝트 아키텍처 결정사항
- 반복 패턴 (코드 스타일, 네이밍 규칙)
- 버그 원인과 해결 방법
- 외부 서비스 연동 방법
저장하지 않을 것
- 임시 디버깅 로그
- 환경변수 값이나 시크릿
- 확정되지 않은 추측
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.
- 4d ago First seen · 59 lines · 79 tokens per session scan A 18faa84f27d0
fireauto-mem-guide is a skill published in the GitHub repository imgompanda/fireauto (140 stars, last pushed 4mo ago), licensed MIT. It adds 79 tokens to every session and 503 once invoked, about $0.0004 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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