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 skills add gaooooosh/limem-agent-plugin --skill limem.recallgit clone --depth 1 https://github.com/gaooooosh/limem-agent-pluginWrote 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/gaooooosh/limem-agent-plugin/limem.recall)<a href="https://agentmods.dev/skills/gaooooosh/limem-agent-plugin/limem.recall"><img src="https://agentmods.dev/badge/skills/gaooooosh/limem-agent-plugin/limem.recall.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 | $0.00056 | $0.00312 |
| Opus 5 | $0.00028 | $0.00156 |
| Sonnet 5 | $0.00011 | $0.00062 |
| Haiku 4.5 | $0.00006 | $0.00031 |
Grade A, and why
limem.recall 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
/limem.recall — 主动查询长期记忆
何时调用
- 用户问"我以前对 X 说过什么？" / "do I have a rule about Y?"
- 你（模型）准备执行某个高代价/不可逆操作前主动 check
- 用户在
/limem.recall <query>显式触发
步骤
- 把 $1 / $ARGUMENTS 当成 query
- 调 MCP 工具
limem_search（参数：query,top_k=5） - 渲染结果给用户。每条至少显示：
- event_id 前 12 位
- type · scope · role
- 原文 text
- 触发命中的 pattern（若 source=pattern）
- 若空结果，告知"未找到匹配记忆"并询问是否想用 /limem.remember 记下
调用语法
- Claude Code:
/limem.recall <query> - Codex:
$limem.recall <query>
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 · 31 lines · 56 tokens per session scan A 405aecc73ddf
limem.recall is a skill published in the GitHub repository gaooooosh/limem-agent-plugin (2 stars, last pushed 3mo ago), licensed MIT. It adds 56 tokens to every session and 312 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 2026-08-31.
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