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/awesome-embedded-learning-studio/cfdesktop/claude-mdgit clone --depth 1 https://github.com/Awesome-Embedded-Learning-Studio/CFDesktopWrote 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/awesome-embedded-learning-studio/cfdesktop/claude-md)<a href="https://agentmods.dev/instructions/awesome-embedded-learning-studio/cfdesktop/claude-md"><img src="https://agentmods.dev/badge/instructions/awesome-embedded-learning-studio/cfdesktop/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 | $0.00208 | $0.00208 |
| Opus 5 | $0.00104 | $0.00104 |
| Sonnet 5 | $0.00042 | $0.00042 |
| Haiku 4.5 | $0.00021 | $0.00021 |
Grade A, and why
CFDesktop 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 4d 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.md — Claude Code Entry Point
Project conventions live in AGENT.md — the single source of truth shared with Codex CLI. It is imported below. This file adds only Claude-specific notes; do not duplicate conventions here.
@AGENT.md
Claude-specific
- Slash commands: see
.claude/commands/(indexed in AGENT.md). Use/statusfor an instant project snapshot,/next-stepfor the next task,/architectureto guard the three-layer rules. - Settings:
.claude/settings.jsonholds the shared permission allowlist; personal overrides go in.claude/settings.local.json(git-ignored). - Workflow output language: Chinese (technical terms remain in English).
- Code comments: English, per the Doxygen spec in AGENT.md.
- Commit messages: English.
- Documentation under
document/: Chinese with English technical terms.
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.
- 4d ago First seen · 17 lines · 208 tokens per session scan A 7a0447ae790a
CFDesktop CLAUDE.md is an instructions file published in the GitHub repository Awesome-Embedded-Learning-Studio/CFDesktop (10 stars, last pushed 1mo ago), licensed MIT. It adds 208 tokens to every session, about $0.0010 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.
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cdroid AGENTS.md
AGENTS.md instructions for houstudio/cdroid, covering 交流方式, 关于 cdroid, 工作原则, 代码迁移要求 and 构建与验证.
freya CLAUDE.md
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openscreen AGENTS.md
AGENTS.md instructions for getopenscreen/openscreen, covering agents.md, setup commands, development principles, project layout and code style.
tabularis AGENTS.md
AGENTS.md instructions for TabularisDB/tabularis, covering agents.md, directives, gitnexus — code intelligence, always do and never do.