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/claude-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/claude-md)<a href="https://agentmods.dev/instructions/jsonbored/awesome-claude/claude-md"><img src="https://agentmods.dev/badge/instructions/jsonbored/awesome-claude/claude-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 5.1 | $0.00039 | $0.00039 |
| Opus 5 | $0.00019 | $0.00019 |
| Sonnet 5 | $0.00008 | $0.00008 |
| Haiku 4.5 | $0.00004 | $0.00004 |
Grade A, and why
awesome-claude 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.
What it actually says
Claude Code Instructions
@AGENTS.md
Use AGENTS.md as the canonical project guidance. This wrapper exists so Claude Code reads the same source of truth without duplicating instructions.
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 · 6 lines · 39 tokens per session scan A ec530bffc866
awesome-claude CLAUDE.md is an instructions file published in the GitHub repository JSONbored/awesome-claude (294 stars, last pushed 20d ago), licensed MIT. It adds 39 tokens to every session, about $0.0002 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.