Borrowing it
Nothing to install: this file belongs to fitlab-ai/agent-infra. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/fitlab-ai/agent-infra/main/.claude/commands/entropy-check.mdgit 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/entropy-check)<a href="https://agentmods.dev/commands/fitlab-ai/agent-infra/entropy-check"><img src="https://agentmods.dev/badge/commands/fitlab-ai/agent-infra/entropy-check/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/entropy-check"><img src="https://agentmods.dev/badge/commands/fitlab-ai/agent-infra/entropy-check.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 | $0.00062 | $0.00111 |
| Opus 5.5 | $0.00025 | $0.00044 |
| Sonnet 5.5 | $0.00012 | $0.00022 |
| Haiku 4.5 | $0.00006 | $0.00011 |
Grade A, and why
entropy-check 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 1mo 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
读取并执行 .agents/skills/entropy-check/SKILL.md 中的 entropy-check 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.
- 1mo ago First seen · 11 lines · 62 tokens per session scan A 3cdf6f4a1833
entropy-check is a command published in the GitHub repository fitlab-ai/agent-infra (86 stars, last pushed yesterday), licensed MIT. It adds 62 tokens to every session and 111 once invoked, about $0.0002 per session on Opus 5.5. 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
explain-error
Explains an error found in a log file and proposes a next step.
poly-check
Lint and check formatting with poly — apply no fixes; summarize findings and drift.
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debug-files
Command "debug-files" from getsentry/toolkit, covering notes on find and important notes.
fix-issues
Pick up one approved task, implement the fix, and close it.
react-native
Command "react-native" from getsentry/toolkit, covering xcode build step (react-native xcode) and important notes.