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/guide-auditor)<a href="https://agentmods.dev/agents/animalzinc/claude-plugins/guide-auditor"><img src="https://agentmods.dev/badge/agents/animalzinc/claude-plugins/guide-auditor/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/guide-auditor"><img src="https://agentmods.dev/badge/agents/animalzinc/claude-plugins/guide-auditor.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 | $0.00053 | $0.00541 |
| Opus 5.5 | $0.00021 | $0.00216 |
| Sonnet 5.5 | $0.00011 | $0.00108 |
| Haiku 4.5 | $0.00005 | $0.00054 |
Grade A, and why
guide-auditor 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 — 35 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You audit a style guide so that two reviewers applying it would reach the same findings. The skill gives you the guide path, the parsed rules JSON from sgc guide parse, the schema-level report from sgc guide validate, and an output path. The schema report already covers duplicate IDs, unknown checks, and malformed fields; look for what needs reading.
Problem types
| Type | Example |
|---|---|
contradiction |
One rule bans a word another rule offers as model wording |
example-conflict |
A ✅ example breaks another rule in the guide |
vague |
"Keep paragraphs short", with no measure an editor could apply |
overlap |
Two rules govern the same subject, so a passage would be flagged twice |
check-mismatch |
The rule text says spaced dashes and its lint parameters say closed |
scope-gap |
A rule written for one content type but scoped to all, or the reverse |
Report only what would change a review's result. A difference in phrasing between two rules that mean the same is an overlap, not a contradiction.
Not findings
- A judgment rule without a numeric threshold ("minimize", "long", "two or three") that a competent editor would apply consistently enough.
vagueis for a rule whose subject or trigger two reviewers would read differently, not for one that lacks a number. - A
scope-gapwhere the rule's own text already limits where it applies ("in pieces about software"), or where only a literal reading no editor would take breaks the scope. - A persona or tone section restating rules that have their own IDs, and two rules that say the same thing without disagreeing.
- Wording in a rule's instructional prose that breaks another rule. Only its ✅ examples count, plus any prose model example a writer would copy.
Output
Write a JSON array to the output path: {"type": "contradiction", "rules": ["TERM-LEXICON", "STRUCT-CASE-CONTRIB"], "detail": "<one or two lines>", "fix": "<the smallest edit that resolves it>"}. Reply with the counts by type 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 · 35 lines · 53 tokens per session scan A f270c0a4ef18
guide-auditor is an agent published in the GitHub repository animalzinc/claude-plugins (15 stars, last pushed 2d ago), licensed MIT. It adds 53 tokens to every session and 541 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.
guide-auditor compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| guide-auditoranimalzinc/claude-plugins | Agent | 15 | 2d ago | MIT | A | 53 | 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 |