SkillHub: Instructions file for Codex

AGENTS.md

SkillHub AGENTS.md is an instructions file for Codex, OpenCode from BiglionX/SkillHub. It costs 6,782 tokens per session, scanned A, original, Apache-2.0.

Repository instructions for SkillHub, an AI skill marketplace and search platform. They describe its pnpm workspace structure, packages, commands, and conventions for agents and developers.

In plain words
What is it for?
Use them when modifying SkillHub's web app, command-line tool, search SDK, widgets, validators, test harness, or skill-scoring packages.
Why use it?
They give contributors a shared map of a large multi-package codebase and reduce mistakes about where changes belong. A monorepo is a single repository containing several related applications or packages.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: mentions subagents; mentions Claude Code; mentions AGENTS.md.

This is BiglionX/SkillHub's own configuration. It tells Codex and OpenCode how to work on SkillHub itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything SkillHub configures →

Reuse

Borrowing it

Nothing to install: this file belongs to BiglionX/SkillHub. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/BiglionX/SkillHub/master/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/BiglionX/SkillHub

Made for: Codex, OpenCode.

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.

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README.md
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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.

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<a href="https://agentmods.dev/instructions/biglionx/skillhub/agents-md"><img src="https://agentmods.dev/badge/instructions/biglionx/skillhub/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 6,782 This file is loaded in full into every session.
When invoked 6,782 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.06782 $0.06782
Opus 5.5 $0.02713 $0.02713
Sonnet 5.5 $0.01356 $0.01356
Haiku 4.5 $0.00678 $0.00678

Measured 2mo ago against content hash 5552835ce1c6, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

SkillHub 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 2mo 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.

AGENTS.md · 186 lines

How it starts

The opening of the file, as written. The whole thing — 186 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md — Skill Hub 仓库指南(面向 AI 代理与人类开发者)

本文件是 AI 编码代理(DSH / DeerFlow / Claude Code / Cursor 等)进入本仓库的入口文档。 修改代码前请先通读;任何新增/变更的工程约定都应同步更新到这里。


1. 项目是什么

Skill Hub 是 ProClaw 生态的 AI 技能市场平台("AI 时代的 npm/Docker Hub"),用于技能开发者发布、管理、变现 AI 技能包(Agent Skills,SKILL.md 标准),用户浏览、搜索、安装、付费订阅。

  • 双模式:自主管理平台(用户上传技能包)+ 全球搜索引擎(GitHub API 爬取元数据)
  • 参考项目:iflytek/SkillHub(Apache 2.0)、Agent Skills 标准、ClawHub CLI 协议

2. 仓库结构

apps/
  web/        @skillhub/web    Next.js 15 (App Router) 主站:前台/后台/API/爬虫/审核
  cli/        @skillhub/cli    命令行工具:publish/install/search/import/export
packages/
  search-sdk/          @skillhub/search-sdk  搜索 SDK(已实现,可发布)
  widget/              @skillhub/widget      嵌入式 React 组件(已实现)
  skill-validator/     @skillhub/skill-validator   技能包静态校验(zod + 内置 frontmatter 解析,含 skillhub-validate CLI)
  skill-test-harness/  @skillhub/skill-test-harness 冒烟测试沙箱(隔离复制 + 任务执行 + 报告,零外部依赖)
  skill-eval/          @skillhub/skill-eval        质量评分 qualityScore 0-100(LLM-as-judge + 启发式兜底)
  api-client/          @skillhub/api-client  空骨架(待实现)
  ui/                  @skillhub/ui          空骨架(待实现)
  utils/               @skillhub/utils       空骨架(待实现)
deer-flow/     vendored bytedance/deer-flow(智能体编排框架副本,仅供集成参考,不参与构建)
skills/         仓库技能(Agent Skills 标准 SKILL.md):repo-dev / skill-package-validator / skill-smoke-test / code-review,可被 DSH / DeerFlow / Claude Code 等 harness 加载
docs/          开发计划 / 架构 / 集成指南
              转型路线:docs/features/ONE_CLICK_INSTALL_DESKTOP_HELPER_PRD.md(v2.0,2026-08:按场景分类 + 三交付物)
.github/workflows/  CI(pnpm + turbo)
部署配置: apps/web/next.config.js(transpilePackages + standalone)、apps/web/vercel.json(Vercel)、根 Dockerfile.web + docker-compose.neon.yml + .dockerignore(Docker)、.env.production.example(env 模板)

3. 常用命令(根目录执行,pnpm workspace + turbo)

命令 作用
pnpm install 安装全部 workspace 依赖
pnpm dev 启动 web(next dev,:3000)
pnpm build turbo 构建全部包
pnpm lint / pnpm lint:fix ESLint(flat config,eslint.config.js)
pnpm typecheck turbo 跑各包 tsc --noEmit
pnpm test turbo 跑单元测试
pnpm test:e2e Playwright E2E(apps/web/tests)
pnpm test:cypress Cypress E2E(apps/web/cypress)
pnpm db:generate / db:push / db:migrate Prisma(schema 在 apps/web/prisma/schema.prisma)
pnpm ci 完整质量门禁:lint → typecheck → test → build

Read the full file on GitHub · 186 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. 2mo ago Changed · +7 lines · +299 tokens per session 5552835ce1c6
  2. 2mo ago Changed · +56 lines · +3,110 tokens per session df8d3ebb0ffd
  3. 2mo ago First seen · 123 lines · 3,373 tokens per session scan A faae96b27aa8

Subscribe to this mod's changes

SkillHub AGENTS.md is an instructions file published in the GitHub repository BiglionX/SkillHub (38 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 6,782 tokens to every session, about $0.0271 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.

Related

SkillHub AGENTS.md compared with instructions from other repositories

SkillHub AGENTS.md next to 6 instructions from other repositories
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SkillHub AGENTS.mdBiglionX/SkillHubInstructions file381mo agoApache-2.0A6,782Codex, OpenCode
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next.js AGENTS.mdvercel/next.jsInstructions file143kyesterdayMITA7,461Codex, OpenCode
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vscode oss-third-party-notices.instructions.mdmicrosoft/vscodeInstructions file195kyesterdayMITA5,516GitHub Copilot
vscode copilot-instructions.mdmicrosoft/vscodeInstructions file195kyesterdayMITA3,093GitHub Copilot
deepseek-harness AGENTS.mddeepseek-ai/deepseek-harnessInstructions file274k2d agoMITA4,313Codex, OpenCode