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.
git clone --depth 1 https://github.com/fitlab-ai/agent-infraWrote 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/fitlab-ai/agent-infra/run-task.zh-cn)<a href="https://agentmods.dev/commands/fitlab-ai/agent-infra/run-task.zh-cn"><img src="https://agentmods.dev/badge/commands/fitlab-ai/agent-infra/run-task.zh-cn/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/commands/fitlab-ai/agent-infra/run-task.zh-cn"><img src="https://agentmods.dev/badge/commands/fitlab-ai/agent-infra/run-task.zh-cn.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00010 | $0.00102 |
| Opus 5 | $0.00005 | $0.00051 |
| Sonnet 5 | $0.00002 | $0.00020 |
| Haiku 4.5 | $0.00001 | $0.00010 |
Grade A, and why
run-task.zh-CN 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.
This is a copy
100% identical to run-task — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
读取并执行 .agents/skills/run-task/SKILL.md 中的 run-task 技能。
严格按照技能中定义的所有步骤执行。
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 · 9 lines · 10 tokens per session scan A 92b1707e8aa0
run-task.zh-CN is a command published in the GitHub repository fitlab-ai/agent-infra (83 stars, last pushed today), licensed MIT. It adds 10 tokens to every session and 102 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to run-task, differing in 0 lines, and is treated as a copy.
Other commands, from other repositories
report-issue
Open a atomic GitHub issue via gh. Bug report or feature request — auto-detect from user's description.
afd
Do feature - works in both Drive and Fleet modes (shortcut for feature-do).
ab
Show Kanban board or list view (shortcut for board).
afe
Evaluate feature - code review or comparison (shortcut for feature-eval).
aft
Transfer feature from its current agent to a different agent — preserves commits and in-flight work (shortcut for feature-transfer).
afs
Start feature [agents...] - create workspace and begin implementation (shortcut for feature-start).