Borrowing it
Nothing to install: this file belongs to LuChangQiu/lrnev-govern. 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/LuChangQiu/lrnev-govern/main/AGENTS.mdgit clone --depth 1 https://github.com/LuChangQiu/lrnev-governWrote 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/luchangqiu/lrnev-govern/agents-md)<a href="https://agentmods.dev/instructions/luchangqiu/lrnev-govern/agents-md"><img src="https://agentmods.dev/badge/instructions/luchangqiu/lrnev-govern/agents-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/luchangqiu/lrnev-govern/agents-md"><img src="https://agentmods.dev/badge/instructions/luchangqiu/lrnev-govern/agents-md.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00762 | $0.00762 |
| Opus 5 | $0.00381 | $0.00381 |
| Sonnet 5 | $0.00152 | $0.00152 |
| Haiku 4.5 | $0.00076 | $0.00076 |
Grade A, and why
lrnev-govern 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
项目提示词：Agent 工具栈与工作流（lrnev-govern）
本文件是 lrnev-govern 的固定提示词（AGENTS.md），在本仓库工作的 Agent 必须遵守。 修改边界（强制）：本文件是固定规则，AI 不得修改；规则变更请改
.lrnev/steering/真源； 易变项目事实（仓库结构/服务清单等）不放本文件。仅当用户明确指示时才允许改动本文件。
0. 本仓库用 lrnev 治理
治理数据在 .lrnev/（Scene/Spec/Task、gate 门禁、ADR/Errorbook/Memory）。
lrnev 是确定性治理引擎（零 LLM）：只管"该不该做 / 做到哪 / 怎么验收 / 留什么记录"；不查源码——查代码用 grep/read（挂了代码图谱工具则按其说明用）。
1. 每会话开始 / 接手时
先读 .lrnev/steering/ 规则（具体文件）：
CORE_PRINCIPLES.md— 核心行为原则（必读：ai_followup 必须执行 / 不确定先查档案再问 / 状态机不跨 / 用户决定优先 / 文档维护时机）SCOPE_RULES.md— 写 ADR / Memory / Errorbook 前读（scope 默认 global 的判定规则）ADR_TRIGGERS.md— 对话出现技术选型 / 推翻方案 / 改变决定 / 新依赖 / 全局约束时读（何时该问用户"记 ADR 吗"）MEMORY_TRIGGERS.md— 收尾 / 出现可复用经验时读（何时该沉淀项目记忆）CONTEXT_DOCS_TRIGGERS.md— 文档维护时机触发清单（准备改 PROJECT/ARCHITECTURE/scene 三件套前读）
接手全景：project_status（现状快照）→ governance_map（scene→spec 全景）；回看验收口径 spec_get；找相关文档 context_search。
2. 第一判断：只读 vs 要改
- 只读（查代码 / 定位 / 解释 / 分析 / 回答问题）：直接做——不 project_status、不开 spec/task（不为形式主义走治理流程）。
- 要改：按
.lrnev/steering/CORE_PRINCIPLES.md的分流与登记纪律执行（小改动直接做；已有 Spec 的开发 / 扩展先task_create登记再实施；独立新特性才spec_create）。
3. 速查与收尾
- 手册：
lrnev_guide（不懂就问，禁止猜参数）；结构异常：lrnev_doctor；体检：lrnev_report（只读，非必走）。 - 验证：代码写完 ≠ 任务完成——按项目实情验证（测试 / 构建 / 类型检查等最小充分集）通过后才
task_update(completed)；验证失败不得标记 completed。 - 收尾：阶段完成
summarize_save更新 L0/L1；会话压缩 / 结束前session_commit沉淀候选记忆。
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 · 34 lines · 762 tokens per session scan A 3b5255cea6f5
lrnev-govern AGENTS.md is an instructions file published in the GitHub repository LuChangQiu/lrnev-govern (16 stars, last pushed 6d ago), licensed MIT. It adds 762 tokens to every session, about $0.0038 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 2026-09-10.
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