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/addyosmani/clarityWrote 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/addyosmani/clarity/clarity-review)<a href="https://agentmods.dev/commands/addyosmani/clarity/clarity-review"><img src="https://agentmods.dev/badge/commands/addyosmani/clarity/clarity-review/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/addyosmani/clarity/clarity-review"><img src="https://agentmods.dev/badge/commands/addyosmani/clarity/clarity-review.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 | $0.00009 | $0.00076 |
| Opus 5 | $0.00005 | $0.00038 |
| Sonnet 5 | $0.00002 | $0.00015 |
| Haiku 4.5 | $0.00001 | $0.00008 |
Grade A, and why
clarity-review 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 11d 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
Use the clarity skill in review mode on: $ARGUMENTS
Produce a critique in the references/review.md format. Do not write a rewritten version of
the piece and do not create or modify any file.
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.
- 11d ago First seen · 9 lines · 9 tokens per session scan A c86d78287fe5
clarity-review is a command published in the GitHub repository addyosmani/clarity (190 stars, last pushed 6d ago), licensed MIT. It adds 9 tokens to every session and 76 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 2026-08-30.
Other commands, from other repositories
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tidy
The structural baseline is empty. scripts/code-quality-baseline.json has no entries, so every gate is live: a new violation is now a hard failure with nothing to hide behind. That is the regime this session works in.
paydown
Pay down the frozen code-quality baseline and run a full QA sweep.
humanizer
Humanize text — strip AI-writing patterns from pasted text or a file without changing what it says.
learn
Capture what the user changed in a draft the skill wrote, so the loop can learn from it. Every rewrite, cut, or addition is evidence; this command turns it into ledger records that /humanise improve mines for rule-change candidates.
skill-maker
A guided prompt for designing a new SKILL.md file, which is a reusable instruction set for an AI agent. It turns a user’s idea into the required skill format and includes safety and formatting rules.