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/lookfree/cc-harness/greetgit clone --depth 1 https://github.com/lookfree/cc-harnessWrote 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/lookfree/cc-harness/greet)<a href="https://agentmods.dev/commands/lookfree/cc-harness/greet"><img src="https://agentmods.dev/badge/commands/lookfree/cc-harness/greet.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 | $0.00018 | $0.00200 |
| Opus 5 | $0.00009 | $0.00100 |
| Sonnet 5 | $0.00004 | $0.00040 |
| Haiku 4.5 | $0.00002 | $0.00020 |
Grade A, and why
greet scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
个性化问候命令
你好，$ARGUMENTS！
我根据你提供的信息生成了个性化问候：
姓名：echo"$ARGUMENTS" | awk '{print $1}'
职业：echo"$ARGUMENTS" | awk '{print $2}' || echo"未提供"
个性化消息
如果你是一名程序员，希望你的代码没有bug！ 如果你是一名设计师，愿你的灵感源源不断！ 如果你是一名产品经理，祝你的产品大获成功！ 对于其他职业，祝你工作顺利，事业有成！ 很高兴认识你！这个命令展示了如何处理命令参数。 你可以尝试不同的参数组合，比如只提供姓名，或者提供姓名和职业。
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 · 21 lines · 0 tokens per session scan A a6fe228c286c
greet is a command published in the GitHub repository lookfree/cc-harness (47 stars, last pushed 29d ago), licensed MIT. It adds 18 tokens to every session and 200 once invoked, about $0.0001 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 commands, from other repositories
dispatcher
Pick the next-best repo to work on across the portfolio — rank free repos, recommend one, claim its lease atomically, and route to the entry command.
journey-audit
Outside-in product audit as a deep session — 7 read-only roles check what the site promises against what the code does, what a user experiences, what arrives by mail, and what the data says is used. Writes a dossier; needs a per-repo journey-manifest.
cost-tracker
Track session costs, understand token spend, and get optimization tips.
workpm
PM 모드로 오케스트레이터 시작. 팀을 구성하고 5단계 워크플로우로 작업을 완수합니다.
argos
설계 산출물 대비 구현 검증 — 준공검사 감리 (아르고스).
mach12:gh-pr-read
Read a GitHub pull request's title, body, and all top-level PR conversation comments; optionally locate an HTML-marker comment.