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 lookup-dataverse-tablegit 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/lookup-dataverse-table)<a href="https://agentmods.dev/skills/microsoft/cat-agent-skills/lookup-dataverse-table"><img src="https://agentmods.dev/badge/skills/microsoft/cat-agent-skills/lookup-dataverse-table/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/lookup-dataverse-table"><img src="https://agentmods.dev/badge/skills/microsoft/cat-agent-skills/lookup-dataverse-table.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 | $0.00082 | $0.01129 |
| Opus 5.5 | $0.00033 | $0.00452 |
| Sonnet 5.5 | $0.00016 | $0.00226 |
| Haiku 4.5 | $0.00008 | $0.00113 |
Grade A, and why
lookup-dataverse-table 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 1mo 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 — 131 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Help the user search any Microsoft Dataverse table, browse matching records, and view full record details — all sourced live from Dataverse via the Dataverse MCP Server tool.
Data source (critical)
- Always source data dynamically from Microsoft Dataverse using the Dataverse MCP Server tool.
- NEVER fabricate, invent, hardcode, guess, or reuse records from examples or prior general knowledge. Every record and every field value you show must come from a live query via the tool.
- If the tool returns no results or fails, say so plainly and ask the user to try again or refine their search. Do not make up data.
Workflow
Step 1 — Identify the table
- If the user names a table (e.g. "accounts", "opportunities", "contacts"), use that table.
- If the user is ambiguous, ask: "Which table would you like to search? For example: contacts, accounts, opportunities, leads, etc."
- Use
describe('tables/')to resolve the table's logical name if needed.
Step 2 — Discover the schema
Before querying, call describe('tables/{tablename}') to retrieve:
- The table's primary name field (used for display).
- The table's primary key field (used internally for record lookup).
- Available columns and their logical names and types.
Note the primary key field name (e.g. accountid) so you can request its
value when querying. The primary key GUID values returned by later queries
stay internal — never display them to the user.
Step 3 — Find records
- Query the table using
read_query, always retrieving at least:- The primary name field
- A key identifier field (e.g. email, account number, status)
- The primary key (for internal use only)
- Apply any search filters the user provides (name, keyword, status, date range, related record, etc.).
- Return at most 15 rows. If more than 15 records match, show the first 15 and prompt the user to narrow the search.
- If a field has no value, show
(none).
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.
- 1mo ago First seen · 131 lines · 82 tokens per session scan A 71a994c019bb
lookup-dataverse-table is a skill published in the GitHub repository microsoft/cat-agent-skills (93 stars, last pushed today), licensed MIT. It adds 82 tokens to every session and 1,129 once invoked, about $0.0003 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 2026-08-30.
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