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 skills add KirKruglov/claude-skills-kit --skill skill-usage-log-reviewergit clone --depth 1 https://github.com/KirKruglov/claude-skills-kitWrote 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/skills/kirkruglov/claude-skills-kit/skill-usage-log-reviewer)<a href="https://agentmods.dev/skills/kirkruglov/claude-skills-kit/skill-usage-log-reviewer"><img src="https://agentmods.dev/badge/skills/kirkruglov/claude-skills-kit/skill-usage-log-reviewer/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/skills/kirkruglov/claude-skills-kit/skill-usage-log-reviewer"><img src="https://agentmods.dev/badge/skills/kirkruglov/claude-skills-kit/skill-usage-log-reviewer.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 | $0.00083 | $0.01680 |
| Opus 5 | $0.00042 | $0.00840 |
| Sonnet 5 | $0.00017 | $0.00336 |
| Haiku 4.5 | $0.00008 | $0.00168 |
Grade A, and why
skill-usage-log-reviewer 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 9d 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.
How it starts
The opening of the file, as written. The whole thing — 168 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill Usage Log Reviewer
This skill audits your installed Claude skill collection — identifying which skills you actively use, which are dormant, and which overlap with each other. It outputs a structured audit report with a one-click deactivation checklist, helping you keep your skill portfolio lean and your sessions fast.
Input:
- List of installed skill names (paste, file listing, or description)
- Optional: brief usage notes per skill ("used daily", "tried once", "never used")
Output:
skill-audit-report.md— table with Keep / Review / Deactivate verdicts, reasoning, and a deactivation checklist
Language Detection
Detect the user's language from their message:
- If Russian (or contains Cyrillic): respond in Russian
- If English (or other Latin-script language): respond in English
- If ambiguous: respond in the language of the trigger phrase used
Instructions
Step 1: Collect the Skill List
- Check if Claude can see the installed skills from the conversation context (e.g., available_skills list or plugin manifest). If yes — use it directly; do not ask the user.
- If not available from context: ask the user to provide their skill list.
- Accepted formats: pasted names,
lsoutput from skill folder, plugin manifest text, or free-form description
- Accepted formats: pasted names,
- Validate input is non-empty.
- If empty: stop and respond — "No skills listed. Please paste your installed skill names, or describe which skills you have active in Claude."
- Check if input looks like a conversation transcript or unrelated text (no skill names detectable):
- If detected: stop and respond — "This doesn't look like a skill list. Please provide the names of your installed Claude skills."
Step 2: Collect Usage Context
- Check if the user already provided usage notes alongside the skill list (e.g., "skill-x — used daily", "skill-y — never tried").
- If usage notes are present for all skills: skip to Step 3.
- If usage notes are absent or partial: gather usage context with targeted questions.
- Group skills into batches of 5–8 and ask: "For each skill below, tell me roughly how often you use it: daily / weekly / monthly / never."
- Do not ask per-skill individually — batch questions to reduce friction.
- If the user declines to answer usage questions: default all skills to "Unknown" and note this in the report; still run the duplicate detection step.
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 9d ago First seen · 168 lines · 83 tokens per session scan A 1dcf90f3d1f8
skill-usage-log-reviewer is a skill published in the GitHub repository KirKruglov/claude-skills-kit (18 stars, last pushed 1mo ago), licensed MIT. It adds 83 tokens to every session and 1,680 once invoked, about $0.0004 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.
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