Borrowing it
Nothing to install: this file belongs to leenkcool/humanasllm. 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/leenkcool/humanasllm/main/CLAUDE.mdgit clone --depth 1 https://github.com/leenkcool/humanasllmWrote 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/leenkcool/humanasllm/claude-md)<a href="https://agentmods.dev/instructions/leenkcool/humanasllm/claude-md"><img src="https://agentmods.dev/badge/instructions/leenkcool/humanasllm/claude-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/leenkcool/humanasllm/claude-md"><img src="https://agentmods.dev/badge/instructions/leenkcool/humanasllm/claude-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 | $0.02768 | $0.02768 |
| Opus 5.5 | $0.01107 | $0.01107 |
| Sonnet 5.5 | $0.00554 | $0.00554 |
| Haiku 4.5 | $0.00277 | $0.00277 |
Grade A, and why
humanasllm CLAUDE.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 133 lines — stays where its author put it; the contents beside it link to each section on GitHub.
P390 · Human as Agent(人即智能体)
项目定位
让工程师作为「人肉大模型」接入现有多模型 Agent 调度框架。对外完全兼容 OpenAI 标准接口(/v1/chat/completions),上游调度池新增一条 human-llm 模型路由即可接入,零代码改动。涉密/私有逻辑任务经此路由派发给人工工程师,完成后按大模型格式返回,AI 工作链路不中断。
技术栈
- 后端:Node.js + Express + Socket.IO
- 数据库:PostgreSQL 5433(库名
p390,用户 postgres) - 认证:JWT(jsonwebtoken + bcryptjs)
- 前端:Vanilla HTML/JS/CSS(IIFE 模块 + SVG 图标 + 4 套主题)
目录结构
server.js # 入口:Socket.IO 认证 + 安全头 + 路由 + 超时扫描
db/
index.js # PG 连接 + 建表(users/tasks/task_logs/request_logs)
adapters/pg.js # pg 适配器(?→$n、INSERT RETURNING id)
dialect.js # 方言工具
middleware/
auth.js # authenticate / signToken / requireRole
security.js # 基础安全头(无 CSP/HSTS)+ CORS + 限流
routes/
v1.js # OpenAI 兼容:/v1/models + /v1/chat/completions + /v1/tasks/:id 回查
auth.js # 登录/me/改密
users.js # 工程师账户管理
tasks.js # 任务列表/详情/状态流转
workbench.js # 统计/治理概览/我的任务/待接单/未完成聚合
approvals.js # 审批列表 + 批准/驳回
projects.js # 项目管理 + 申请建项目
logs.js # 请求出入日志 + 任务审计
rules.js # 分级规则管理(治理配置后台)
tenants.js # 租户管理(多租户)
gateway.js # 网关配置 + 多工具 SKILL/AGENT 生成/微调/安装
audit.js # 合规报告 + 质量数据资产导出
annotations.js # 产出标注 + 私有评测集(快照 / SFT·评测导出)
sso.js # 企业 SSO:providers / start(302 授权页)/ callback(换 JWT)
prd.js # PRD 需求沉淀(git 本地提交)
index.js # 路由总挂载
services/
stateMachine.js # 状态机单例(任务/审批转换表 + 校验)
categoryEngine.js # 分级策略引擎(规则白名单锁死 > 上游显式 > 默认)
queueService.js # 任务状态机流转 + AI 降级 + 质量校验 + 30s 超时扫描
aiShift.js # 智能漂移(general 简单任务 AI 承接,confidential/ops 锁死)
approvalService.js # 审批状态机 + 挂起等待 + 24h 超时提醒
aiRelay.js # DeepSeek 中继(一次 + SSE 透传)
openaiEncoder.js # OpenAI 请求解析 + 响应/SSE chunk 封装
projectService.js # 项目 CRUD + 审批批准回调
notifier.js / mailer.js # 通知(邮件 + Webhook),可降级
callback.js # 上游完成回调(终态主动推送,免轮询;可降级)
taskView.js # 上游任务视图(/v1 回查与完成回调共用字段)
taskEvents.js # 任务事件总线(供 /v1 SSE 中途推送订阅)
sseStream.js # /v1 SSE 中途状态推送(opt-in stream_events:true)
toolCalls.js # tools/function calling(声明校验 + tool_calls 归一化)
permissionService.js # 三权分立权限矩阵(sys_admin/sec_admin/audit_admin/engineer)+ requirePermission
annotationService.js # 答复标注 + 私有评测集不可变快照 + SFT/评测 JSONL
ssoService.js # OAuth2/OIDC 授权码:提供方解析 + state 一次性 + profile 映射
waiters.js # 等待者单例(审批挂起等待)
i18n.js / csv.js # 消息翻译 / CSV 导出
websocket.js # Socket.IO 推送(task:new/update/timeout)
public/ # 落地页(landing/) + 登录页 + SSO 中继页(sso.html) + 工作台(workbench.html + utils/api/ws/ui/app/i18n.js)
scripts/seed.js # 种子账户
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 Changed · +9 lines · +358 tokens per session 105e7032bb3b
- 1mo ago Changed · +10 lines · +358 tokens per session 2421df004d61
- 2mo ago First seen · 114 lines · 2,052 tokens per session scan A 82e09ec85646
humanasllm CLAUDE.md is an instructions file published in the GitHub repository leenkcool/humanasllm (29 stars, last pushed 7d ago), licensed MIT. It adds 2,768 tokens to every session, about $0.0111 per session on Opus 5.5. 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.
humanasllm CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| humanasllm CLAUDE.mdleenkcool/humanasllm | Instructions file | 29 | 7d ago | MIT | A | 2,768 | Claude Code |
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| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |