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-save-guidenpx skills add imgompanda/fireauto --skill fireauto-mem-save-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-save-guide)<a href="https://agentmods.dev/skills/imgompanda/fireauto/fireauto-mem-save-guide"><img src="https://agentmods.dev/badge/skills/imgompanda/fireauto/fireauto-mem-save-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 | $0.00093 | $0.00487 |
| Opus 5 | $0.00046 | $0.00244 |
| Sonnet 5 | $0.00019 | $0.00097 |
| Haiku 4.5 | $0.00009 | $0.00049 |
Grade A, and why
fireauto-mem-save-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 능동 축적 가이드
fireauto-mem은 사용자의 개발 지식 DB입니다. 사용자가 말하지 않아도 가치 있는 지식을 능동적으로 저장하세요.
언제 능동적으로 저장하나요?
자동으로 저장할 가치가 있는 상황:
| 상황 | type | 예시 |
|---|---|---|
| 버그를 찾고 해결했을 때 | bugfix | "setState 비동기 이슈 — useEffect에서 처리" |
| 반복 사용할 패턴을 발견했을 때 | pattern | "Result 타입으로 에러 흐름 통일" |
| 중요한 설계 결정을 내렸을 때 | decision | "MCP 서버를 Thin Wrapper로 구현한 이유" |
| 삽질 후 원인을 알게 됐을 때 | gotcha | "sql.js WASM에 FTS5 없음 → FTS4 사용" |
| 핵심 기능을 구현 완료했을 때 | feature | "SSE 실시간 스트리밍 + 자동 재연결" |
| 코드를 의미있게 개선했을 때 | refactor | "worker.cjs 함수명 db.cjs와 통일" |
저장 기준
- 재사용 가치: 다음에 비슷한 상황에서 도움이 될까?
- 맥락 가치: 왜 이렇게 했는지가 중요한가?
- 위험 방지: 같은 실수를 반복하지 않으려면 기록이 필요한가?
→ 하나라도 해당하면 저장하세요.
memory-save 호출 패턴
memory-save:
title: 간결하고 검색하기 좋은 제목
content: 구체적 내용 (코드 예시, 이유, 맥락)
type: bugfix | feature | pattern | decision | gotcha | refactor
tags: [관련 키워드들]
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 · 45 lines · 93 tokens per session scan A 81e262432424
fireauto-mem-save-guide is a skill published in the GitHub repository imgompanda/fireauto (140 stars, last pushed 4mo ago), licensed MIT. It adds 93 tokens to every session and 487 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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