Borrowing it
Nothing to install: this file belongs to 17861102832/wanyimem. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/17861102832/wanyimem/main/AGENTS.mdgit clone --depth 1 https://github.com/17861102832/wanyimemWrote 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/instructions/17861102832/wanyimem/agents-md)<a href="https://agentmods.dev/instructions/17861102832/wanyimem/agents-md"><img src="https://agentmods.dev/badge/instructions/17861102832/wanyimem/agents-md.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 | $0.00330 | $0.00330 |
| Opus 5 | $0.00165 | $0.00165 |
| Sonnet 5 | $0.00066 | $0.00066 |
| Haiku 4.5 | $0.00033 | $0.00033 |
Grade A, and why
wanyimem AGENTS.md 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
AGENTS.md — 给 AI 协作者的说明
本仓库由 AI 智能体高频协作，请遵守以下约定：
结构
wanyi/主包（扁平布局，非 src/）wanyi/memory_core.py核心引擎（23 个 MCP 工具 + stdio 传输层）tests/冒烟测试（必须无模型可跑）
铁律
- stdout 纯净：MCP server 的 stdout 只能输出协议帧。任何日志必须写 stderr。新增 print 到 stdout = 直接破坏协议 = 严重错误。
- 永不删除记忆：append-only 事件溯源是核心原则，任何"删除记忆"功能都不接受。
- 降级优先：向量/精排/图谱模型不可用时必须静默降级（返回 None / 空），绝不允许崩溃。
- 隐私红线：仓库内绝不出现真实用户记忆、个人路径、密钥。个人路径必须走环境变量 + 通用默认值。
- 中文优先：向量模型面向中文，检索词、工具名、记忆内容以中文为主。
- 版本一致：修改
memory_core.py的 serverInfo 版本号时，必须同步pyproject.toml、__init__.py的__version__。
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 · 19 lines · 330 tokens per session scan A 6d6d7e5d2d11
wanyimem AGENTS.md is an instructions file published in the GitHub repository 17861102832/wanyimem (3 stars, last pushed 7d ago), licensed MIT. It adds 330 tokens to every session, about $0.0016 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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