microsoft/cat-agent-skills is a static website that catalogs reusable instruction sets and related packages for AI agents. People use it to search, filter, rate, and download skills for Cowork, Copilot Studio, and Scout, along with Copilot plugins and Scout automations. The catalogue entries are the skills, instructions, plugins, and settings displayed by the site.
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 microsoft/cat-agent-skills --skill content-quality-auditorgit clone --depth 1 https://github.com/microsoft/cat-agent-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/skills/microsoft/cat-agent-skills/content-quality-auditor)<a href="https://agentmods.dev/skills/microsoft/cat-agent-skills/content-quality-auditor"><img src="https://agentmods.dev/badge/skills/microsoft/cat-agent-skills/content-quality-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/skills/microsoft/cat-agent-skills/content-quality-auditor"><img src="https://agentmods.dev/badge/skills/microsoft/cat-agent-skills/content-quality-auditor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00045 | $0.00901 |
| Opus 5 | $0.00023 | $0.00451 |
| Sonnet 5 | $0.00009 | $0.00180 |
| Haiku 4.5 | $0.00005 | $0.00090 |
Grade A, and why
content-quality-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 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 — 121 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Content Quality Auditor
Use this skill to assess content quality in a repeatable, evidence-led way and produce a prioritised improvement plan.
What to audit
The skill can be used for:
- Individual documents, pages, posts, decks, scripts, or templates.
- Groups of related artefacts.
- Content libraries where consistency and reuse matter.
- Draft material before publication.
Evidence rules
- Base the audit only on content the user provides or content available through the agent's connected sources.
- Do not infer missing facts, usage statistics, or business impact.
- If you cannot access a referenced artefact, state that limitation and assess only what is available.
- Separate observed evidence from suggested improvements.
Default seven-dimension rubric
Score each dimension from 0 to 5.
| Score | Meaning |
|---|---|
| 0 | Not present or unusable. |
| 1 | Present but weak, confusing, or incomplete. |
| 2 | Basic but inconsistent or hard to reuse. |
| 3 | Usable with moderate improvement needed. |
| 4 | Strong with minor refinement needed. |
| 5 | Publication-ready or operationally robust. |
Assess these dimensions:
- Purpose and audience clarity - Is the content clear about who it is for and what it helps them do?
- Structure and navigation - Is the content logically organised and easy to scan?
- Evidence and specificity - Are claims supported by examples, data, sources, or concrete detail?
- Practical usefulness - Does the content help the reader make a decision or take action?
- Consistency and standards alignment - Does it follow the expected terminology, design, tone, and formatting conventions?
- Reusability and modularity - Can the content be reused, adapted, or maintained without excessive rework?
- Completeness and next action - Are important gaps, dependencies, risks, and follow-up actions visible?
If the user supplies a different rubric, use their rubric instead.
Workflow
- Identify the artefact or artefacts being audited.
- Confirm the intended audience and purpose from the available material.
- Apply the rubric dimension by dimension.
- Note specific evidence for each score.
- Identify priority fixes, separating major blockers from polish.
- Recommend a practical sequence of improvements.
- If auditing multiple artefacts, provide a comparative summary and prioritised backlog.
What ships with it
2 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 · 121 lines · 45 tokens per session scan A 8a0fc4a0dccd
content-quality-auditor is a skill published in the GitHub repository microsoft/cat-agent-skills (66 stars, last pushed 2d ago), licensed MIT. It adds 45 tokens to every session and 901 once invoked, about $0.0002 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 skills, from other repositories
orbit-notion
Open Orbit briefing skill — selected by the Orbit pipeline when Notion is the user's only connected connector, or when the user explicitly scopes their daily digest to Notion. Pulls the past 24 hours of document edits, comments, mentions, and database row changes from the user's authenticated Notion connection and…
instrument-data-to-allotrope
Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV. Use this skill when scientists need to standardize instrument data for LIMS systems, data lakes, or downstream analysis. Supports auto-detection of instrument types. Outputs include full…
baoyu-youtube-transcript
A tool for downloading the written captions, subtitles, chapter information, speaker labels, and cover image from a YouTube video using its URL or ID.
feishu
Work with Feishu or Lark bots, docs, sheets, bitables, approval flows, and OpenAPI/MCP setup without hardcoding credentials.
read
Reads URLs and PDFs by fetching source content, defaulting to concise summaries for plain read requests and clean Markdown when asked to convert, save, quote, cite, or feed downstream work. Use when users ask in any language to read, fetch, check, summarize, quote, cite, convert, or save a URL or PDF. Not for local…
overleaf-sync
A two-way connection between a local paper folder and Overleaf, a web-based LaTeX editor for writing research papers. It lets you move changes between the local files and the shared Overleaf project.