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/block-task.en)<a href="https://agentmods.dev/commands/fitlab-ai/agent-infra/block-task.en"><img src="https://agentmods.dev/badge/commands/fitlab-ai/agent-infra/block-task.en.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 | $0.00009 | $0.00071 |
| Opus 5 | $0.00005 | $0.00036 |
| Sonnet 5 | $0.00002 | $0.00014 |
| Haiku 4.5 | $0.00001 | $0.00007 |
Grade A, and why
block-task.en 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
Read and execute the block-task skill from .agents/skills/block-task/SKILL.md.
Follow all steps defined in the skill exactly.
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 · 10 lines · 9 tokens per session scan A 137204e02998
block-task.en is a command published in the GitHub repository fitlab-ai/agent-infra (83 stars, last pushed today), licensed MIT. It adds 9 tokens to every session and 71 once invoked, about $0.0000 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 2026-09-03.
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).
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).
afbt
Triage feedback with AI-assisted recommendations (shortcut for feedback-triage).