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.
npx agentmods add instructions/jsonbored/awesome-claude/agents-mdgit clone --depth 1 https://github.com/JSONbored/awesome-claudeWrote 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/jsonbored/awesome-claude/agents-md)<a href="https://agentmods.dev/instructions/jsonbored/awesome-claude/agents-md"><img src="https://agentmods.dev/badge/instructions/jsonbored/awesome-claude/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 | $0.01419 | $0.01419 |
| Opus 5 | $0.00709 | $0.00709 |
| Sonnet 5 | $0.00284 | $0.00284 |
| Haiku 4.5 | $0.00142 | $0.00142 |
Grade A, and why
awesome-claude 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 5d 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 — 130 lines — stays where its author put it; the contents beside it link to each section on GitHub.
HeyClaude Agent Instructions
These instructions are for AI coding agents working in this repository. Keep them focused on the actual HeyClaude project, not general coding advice.
Project Intent
HeyClaude is a curated, GitHub-native directory for Claude and AI workflow resources: agents, MCP servers, skills, hooks, commands, rules, guides, collections, statuslines, and related tools.
The growth path is useful community submissions, not low-quality promotion. Free, source-backed, practical resources belong in the content directory. Paid tools, commercial listings, jobs, sponsorships, and listing claims should go through the website lead flows unless a maintainer explicitly routes them into content.
Source Of Truth
- Source content lives under
content/<category>/. - Registry schema, validation, submission intake, and risk policy live under
packages/registry/src/. - Website/API behavior lives under
apps/web/src/. - MCP package behavior lives under
packages/mcp/. README.mdis generated fromscripts/generate-readme.mjs.- Public content submissions are PR-first. The website submit form hands drafts to the private submission gate instead of creating GitHub issues.
- Public registry artifacts under
apps/web/public/data/**and generated source underapps/web/src/generated/**are maintainer-owned outputs.
Do not hand-edit generated artifacts unless the task is explicitly maintainer/internal generation work.
Contribution And Content Policy
- Prefer PR-first content submissions for community UGC.
- Direct content PRs should be focused on exactly one source content entry only.
- Preserve original submitter attribution when converting issues or PRs into real content.
- Reject or route away thin promo, paid listing attempts, affiliate-style submissions, and unsupported categories.
- Do not accept community-submitted ZIP/MCPB hosting requests.
- Local
/downloads/...artifacts are maintainer-built convenience packages only, with checksums and package trust metadata after review. - Do not mark
packageVerified: truefor community packages unless maintainers have verified the artifact and source path.
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.
- 5d ago First seen · 130 lines · 1,419 tokens per session scan A 2a81519d4c42
awesome-claude AGENTS.md is an instructions file published in the GitHub repository JSONbored/awesome-claude (294 stars, last pushed 18d ago), licensed MIT. It adds 1,419 tokens to every session, about $0.0071 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 2026-08-30.
Other instructions, from other repositories
ai-development-patterns CLAUDE.md
Claude Code instructions for PaulDuvall/ai-development-patterns, covering claude.md, repository overview, repository structure, key architectural principles and pattern architecture.
ai-development-patterns AGENTS.md
AGENTS.md instructions for PaulDuvall/ai-development-patterns, covering agent instructions, task tracking, pattern adoption evaluation and landing the plane (session completion).
video-clip-agent CLAUDE.md
Claude Code instructions for neopen/video-clip-agent, covering penclip — 视频混剪智能体, 当前状态, 分层架构（依赖方向：外层 → 内层，内层禁止反向依赖）, bridge 层（向后兼容转发，勿在此改逻辑） and 关键入口.
lenserfight AGENTS.md
AGENTS.md instructions for conectlens/lenserfight, covering agents.md, 1. think before coding, 2. simplicity first, 3. surgical changes and 4. performance under stress.
lenserfight CLAUDE.md
Claude Code instructions for conectlens/lenserfight, a project described as: Turn AI prompts into reusable, versioned Lenses - organize with Tags and Threads, automate as Workflows, configure as Agents, evaluate with Battles.
lenserfight GEMINI.md
Gemini CLI instructions for conectlens/lenserfight, a project described as: Turn AI prompts into reusable, versioned Lenses - organize with Tags and Threads, automate as Workflows, configure as Agents, evaluate with Battles.