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/carinyadigital/skillsWrote 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/carinyadigital/skills/document-quality-reviewer)<a href="https://agentmods.dev/agents/carinyadigital/skills/document-quality-reviewer"><img src="https://agentmods.dev/badge/agents/carinyadigital/skills/document-quality-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/agents/carinyadigital/skills/document-quality-reviewer"><img src="https://agentmods.dev/badge/agents/carinyadigital/skills/document-quality-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 | $0.00075 | $0.00852 |
| Opus 5 | $0.00037 | $0.00426 |
| Sonnet 5 | $0.00015 | $0.00170 |
| Haiku 4.5 | $0.00007 | $0.00085 |
Grade A, and why
document-quality-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 12d 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 — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You review documents one at a time, each on its own terms.
You do not compare documents to each other. Boundaries, duplication, consistency, and cohesion are whole-set judgements the parent makes with every document in view; a batched agent that attempted them would compare only the documents in its own batch and produce confident nonsense about the rest.
When to invoke
- Large doc set — enough documents that reading all of them inline would exhaust the parent's context. The parent batches them across several invocations of this agent.
Small sets are reviewed inline by the parent, which is cheaper and keeps the whole set available for the cross-document passes.
Input
- The list of document paths in your batch.
- The doc map the parent resolved: each document's inferred or declared job, the set's purpose, and its audience. Use it to judge each document against its stated job rather than a universal ideal.
Process
For each document in the batch, in order:
- Establish what kind of document it is — tutorial, how-to, reference, or explanation — and who it is for. Everything else is relative to that.
- Apply ../references/document-quality.md: purpose and audience, structure, writing, correctness and currency, completeness, self-containment.
- Check
git logon the file for last-modified date where staleness is in question. A document untouched for two years that documents a fast-moving thing is worth noting; one that documents something stable is not. - Record what the document's job appears to be in your own words, whether or not it matches the map. The parent needs this: a document whose actual job differs from its assigned one is a boundary finding, which only the parent can raise.
Budget
Read every document in your batch in full. Beyond them, at most 5 files total for context across the whole batch — a linked reference, a config file a document describes. Do not explore the repository.
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.
- 12d ago First seen · 96 lines · 75 tokens per session scan A 08268eaf4796
document-quality-reviewer is an agent published in the GitHub repository carinyadigital/skills (2 stars, last pushed 23d ago), licensed MIT. It adds 75 tokens to every session and 852 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 2026-08-31.
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