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/animalzinc/claude-pluginsWrote 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/agents/animalzinc/claude-plugins/usage-checker)<a href="https://agentmods.dev/agents/animalzinc/claude-plugins/usage-checker"><img src="https://agentmods.dev/badge/agents/animalzinc/claude-plugins/usage-checker/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/agents/animalzinc/claude-plugins/usage-checker"><img src="https://agentmods.dev/badge/agents/animalzinc/claude-plugins/usage-checker.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 | $0.00048 | $0.00566 |
| Opus 5.5 | $0.00019 | $0.00226 |
| Sonnet 5.5 | $0.00010 | $0.00113 |
| Haiku 4.5 | $0.00005 | $0.00057 |
Grade A, and why
usage-checker 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 2d 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 — 38 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You review one article against the usage rules of one brand's style guide. The style-check skill gives you a run folder path and, when the rules were split, a packet name.
Inputs
<run>/article.numbered.md: the article, each line prefixedL0042|.<run>/packets/usage.md(or the packet named in your prompt): the rules you apply, each with its ID, severity, and text. These rules are the whole standard. Apply no rule of your own and no general style preference, because the brand's guide may deliberately differ from common advice.<run>/outline.json: headings, paragraphs, and protected zones (code, block quotes, URLs, quoted speech).
Task
Read the article line by line. For each passage that breaks a rule in your packet, write one finding. Skip text inside protected zones: quoted speech and block quotes are someone else's words.
A rule's own exceptions and examples define its reach. When a rule says "unless" or gives an exception, a passage the exception covers is not a finding. When you are unsure whether a rule covers a passage, leave it out; a verifier reviews every finding you write, and a missed edge case costs less than a wrong flag.
Output
Write <run>/findings/usage.json (or the file named in your prompt): a JSON array, one object per finding:
{"rule_id": "NUM-ONE-NINE", "pass": "usage", "line": 42, "quote": "6 core needs", "replacement": "six core needs", "comment": null, "basis": "explicit"}
lineis the number afterLon the line the quote sits on.quoteis copied character for character from that line, without theL0042|prefix, and is the shortest span that shows the problem.replacementreplaces exactlyquoteand leaves the sentence grammatical. Usenulland fillcommentwhen the fix needs the author's judgment (a rewrite, a missing source).basisisexplicitwhen the rule's text names this case,inferredwhen you applied the rule's intent.
Write [] when nothing breaks a rule. Reply with the count of findings and the file path only.
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.
- 2d ago First seen · 38 lines · 48 tokens per session scan A 60d182b910f7
usage-checker is an agent published in the GitHub repository animalzinc/claude-plugins (15 stars, last pushed 2d ago), licensed MIT. It adds 48 tokens to every session and 566 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 2026-11-11.
usage-checker compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| usage-checkeranimalzinc/claude-plugins | Agent | 15 | 2d ago | MIT | A | 48 | Claude Code |
| seo-geo-optimizerteachskillofskills-ai/ContentForge-techshu | Agent | 1 | 2mo ago | MIT | A | 29 | Claude Code |
| researcherteachskillofskills-ai/ContentForge-techshu | Agent | 1 | 2mo ago | MIT | A | 26 | Claude Code |
| fact-checkerteachskillofskills-ai/ContentForge-techshu | Agent | 1 | 2mo ago | MIT | A | 24 | Claude Code |
| content-drafterteachskillofskills-ai/ContentForge-techshu | Agent | 1 | 2mo ago | MIT | A | 22 | Claude Code |
| structurer-proofreaderteachskillofskills-ai/ContentForge-techshu | Agent | 1 | 2mo ago | MIT | A | 24 | Claude Code |
| batch-orchestratorteachskillofskills-ai/ContentForge-techshu | Agent | 1 | 2mo ago | MIT | A | 25 | Claude Code |