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 commands/nongjun/feishu-cursor-claw/macgit clone --depth 1 https://github.com/nongjun/feishu-cursor-clawWrote 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/commands/nongjun/feishu-cursor-claw/mac)<a href="https://agentmods.dev/commands/nongjun/feishu-cursor-claw/mac"><img src="https://agentmods.dev/badge/commands/nongjun/feishu-cursor-claw/mac.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 | $0.00000 | $0.00094 |
| Opus 5 | $0.00000 | $0.00047 |
| Sonnet 5 | $0.00000 | $0.00019 |
| Haiku 4.5 | $0.00000 | $0.00009 |
Grade A, and why
mac 应用规则沉淀 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 3d 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
这次解决问题的过程很棒。请你复盘一下：为了让以后类似的问题能直接被解决，或者避免刚才出现的错误，我应该在未来增加哪几条规则才能避免出现类似的情况？请用最精简的逻辑、最简单的语音总结出来，然后录入到我的这个文档当中： 企微SCRM/企微托管/Mac客户端/规则沉淀.md
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.
- 3d ago First seen · 1 lines · 0 tokens per session scan A 59dda51ed693
mac 应用规则沉淀 is a command published in the GitHub repository nongjun/feishu-cursor-claw (14 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 94 tokens. 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 commands, from other repositories
adr
Create or maintain Architecture Decision Records as agent-readable decision memory.
context
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Command "kiro-steering-custom" from gotalab/cc-sdd, covering kiro custom steering creation, workflow, available templates, steering principles and tool guidance.
wiki-synthesize
Synthesize wiki/sources/ .md pages from raw session transcripts using the configured LLM backend.
lians-recall
Recall current (non-stale) facts from Lians memory, optionally as-of a past date.
next-task
Intelligently determine and prepare the next action based on comprehensive context.