openhire CLAUDE.md

openhire CLAUDE.md is an instructions file for coding agents from gzchenhao/openhire. It costs 1,944 tokens per session, scanned A, original, MIT.

A repository instruction file for OpenHire that explains its working rules, release status, recovery steps, and privacy requirements. Repository instruction files tell a coding assistant how to work in a specific project.

In plain words
What is it for?
Use it to guide work on the OpenHire repository, restore context at the start of a session, and follow its publishing and progress-recording process.
Why use it?
It gives each session the project context and prevents repeating completed work or violating stated privacy rules.

Instructions file

Install

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.

agentmods
npx agentmods add instructions/gzchenhao/openhire/claude-md
Clone the repo
git clone --depth 1 https://github.com/gzchenhao/openhire

Wrote 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.

agentmods badge for openhire CLAUDE.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/gzchenhao/openhire/claude-md.svg)](https://agentmods.dev/instructions/gzchenhao/openhire/claude-md)
Your own site
<a href="https://agentmods.dev/instructions/gzchenhao/openhire/claude-md"><img src="https://agentmods.dev/badge/instructions/gzchenhao/openhire/claude-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 1,944 This file is loaded in full into every session.
When invoked 1,944 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.01944 $0.01944
Opus 5 $0.00972 $0.00972
Sonnet 5 $0.00389 $0.00389
Haiku 4.5 $0.00194 $0.00194

Measured yesterday against content hash 0b58b1bdf961, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

openhire 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 yesterday.

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.

CLAUDE.md · 66 lines

How it starts

The opening of the file, as written. The whole thing — 66 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CLAUDE.md — OpenHire 工作约定(每个会话必读)

新会话恢复指引(开工前先做这三步)

  1. 先读 README.md — 了解产品定位、五个协议字段、三条隐私红线、安装与工具(公开版 README)。
  2. 再读 PROGRESS.md — 了解已完成到哪一步、关键决策与理由、下一步、待用户确认事项。
  3. 禁止重做已完成的工作。 M1–M4 已全部完成,v0.1 已公开发布(见下方发布状态、PROGRESS.md 验收证据)。除非用户明确要求返工,不要重建已完成的里程碑。

发布状态(v0.1 已上线 + 上架官方 Registry · 2026-07-15)

  • GitHub: https://github.com/gzchenhao/openhire (owner gzchenhao,main,tag v0.1.1)
  • Release v0.1.0: https://github.com/gzchenhao/openhire/releases/tag/v0.1.0 (含快照资产 openhire-index.db.gz,URL 稳定不变)
  • PyPI: https://pypi.org/project/openhire/0.1.1/pipx install openhire
  • 官方 MCP Registry: io.github.gzchenhao/openhire v0.1.1(registry.modelcontextprotocol.io,用 server.json + mcp-publisher 发布;PulseMCP/mcp.so 自动同步)。
  • Smithery: v0.1 放弃(无本地 stdio 网页入口,见 reports/010)。
  • 推送用 gh(keyring);PyPI token 仅 %USERPROFILE%\.pypircmcp-publisher 用其本地 GitHub 凭据。三者均不进代码/git
  • 再发新版流程:改 README mcp-name 保持不变 → bump 版本 → twine upload → 改 server.json 版本 → mcp-publisher publish

常设工作制度(持续遵守)

  1. 进度记录: 每完成一个里程碑、或每个工作日结束时,更新 PROGRESS.md
    • 日期
    • 已完成(含验收证据:测试数、实测输出、花费等可核对的事实)
    • 关键决策及理由
    • 下一步
    • 待用户确认事项 控制在一页以内;新进展追加在顶部(倒序),旧条目保留。
  2. 恢复指引常驻: 本文件顶部的「新会话恢复指引」始终保留并保持最新。
  3. 每次会话结束前主动提醒用户: 「今日请备份 C:\openhire 到 U 盘。」
  4. 里程碑节奏: 每完成一个里程碑停下,对照验收标准向用户汇报后再继续。
  5. 汇报归档: 每次完成任务后的完整汇报,除在终端显示外,同时写入 C:\openhire\reports\
    • 文件名 = 递增编号 + 主题,如 001-真机验收三件套.md002-M4打包.md
    • Markdown 格式,自足完整:不依赖终端上下文,单独打开也能看懂(含背景、做了什么、证据、结论、下一步)。
    • 每次干完活的最后一行告诉用户:「汇报已写入 C:\openhire\reports\xxx.md」。
    • 编号取 reports\ 里现有最大编号 +1(补零三位)。
  6. 每周快照刷新:已自动化(017)。 .github/workflows/refresh-snapshot.yml 每周一 06:10 UTC 自动跑(也可在 Actions 手动 Run workflow):下载已发布快照 → 重新 seed → 免费启发式全量刷新 → ohp snapshot-build → 覆盖上传同名资产。工作流零密钥(只用 GitHub 自动下发的 per-run token,权限仅 contents: write),失败靠 GitHub 默认邮件通知仓库主。 人工只剩月度一条命令的 LLM 精抽(CI 无 key,只能跑启发式):
    ohp extract-rebuild --backend glm       # 补 skills(套餐内,现金 ¥0)
    ohp extract-role-family --backend glm   # 补 role_family
    
    跑完按 docs/maintainer-snapshot-refresh.md 手动 build + upload 一次,让精抽结果进到公开快照。

Read the full file on GitHub · 66 lines

Changes

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.

  1. yesterday Changed · +2 lines · +201 tokens per session 0b58b1bdf961
  2. 4d ago First seen · 64 lines · 1,743 tokens per session scan A 4e0eda6df992

Subscribe to this mod's changes

openhire CLAUDE.md is an instructions file published in the GitHub repository gzchenhao/openhire (2 stars, last pushed yesterday), licensed MIT. It adds 1,944 tokens to every session, about $0.0097 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.

Related

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