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 dcf-valuationgit 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/dcf-valuation)<a href="https://agentmods.dev/skills/microsoft/cat-agent-skills/dcf-valuation"><img src="https://agentmods.dev/badge/skills/microsoft/cat-agent-skills/dcf-valuation/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/dcf-valuation"><img src="https://agentmods.dev/badge/skills/microsoft/cat-agent-skills/dcf-valuation.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 | $0.00134 | $0.01934 |
| Opus 5.5 | $0.00054 | $0.00774 |
| Sonnet 5.5 | $0.00027 | $0.00387 |
| Haiku 4.5 | $0.00013 | $0.00193 |
Grade A, and why
dcf-valuation 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 — 155 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DCF Valuation
Build a defensible discounted cash flow model as an Excel workbook, with calculation integrity and decision readiness reported as two separate verdicts.
When NOT to Use
- Comparable-company screens or precedent-transaction analysis with no DCF — outside this skill's scope.
- LBO sponsor returns — use
lbo-model; filling an existing three-statement template — use3-statements. Merger/accretion-dilution analysis — outside this skill's scope. - Internal budgets, forecasts, expense trackers, or any non-valuation spreadsheet → use
xlsx - Reviewing or fixing an existing deck → use
pptx - General finance questions with no model deliverable — answer inline
Workflow
1. Preflight: source discovery (once per session, cache the result)
Check only the sources needed for this request, once per session. User-supplied inputs come first; do not enumerate connections or call Power BI when they suffice. For sources still needed, check what is reachable before assuming anything:
powerplatform-ListConnections— is there a usable connection at all?powerplatform-FindConnectors— look only for what a DCF needs: a live Excel read (shared_excelonlinebusiness), and any market/financial data source.- Note availability of Power BI (
pbi_fabricaihub-*) and Dataverse for internal actuals.
There is normally no market-data connector. When none is reachable, fall back to
host-web_search and label every market input as web-sourced with the retrieval date. Never
present a web-sourced figure as if it came from a data feed.
2. Intake: new workbook or update in place
If the user attached or named an existing workbook, ask once with core-AskUserQuestion:
build a new dated workbook (reads theirs as input, leaves it untouched) or update theirs in
place (preserves their formatting and downstream links, but overwrites a live file). Never
guess — guessing "update" is destructive.
If nothing was attached, do not ask. Build fresh.
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.
- 2d ago First seen · 155 lines · 134 tokens per session scan A c35b0b111006
dcf-valuation is a skill published in the GitHub repository microsoft/cat-agent-skills (101 stars, last pushed yesterday), licensed MIT. It adds 134 tokens to every session and 1,934 once invoked, about $0.0005 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 2026-11-06.
dcf-valuation compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| dcf-valuationmicrosoft/cat-agent-skills | Skill | 101 | yesterday | MIT | A | 134 | Claude Code, Codex |
| dcf-modelNousResearch/hermes-agent | Skill | 262k | today | MIT | A | 14 | Claude Code, Codex |
| comps-analysisNousResearch/hermes-agent | Skill | 262k | today | MIT | A | 13 | Claude Code, Codex |
| lbo-modelNousResearch/hermes-agent | Skill | 262k | today | MIT | A | 19 | Claude Code, Codex |
| lbo-modelanthropics/financial-services | Skill | 41k | 11d ago | Apache-2.0 | A | 57 | Claude Code |
| 3-statement-modelNousResearch/hermes-agent | Skill | 262k | today | MIT | A | 18 | Claude Code, Codex |
| merger-modelNousResearch/hermes-agent | Skill | 262k | today | MIT | A | 18 | Claude Code, Codex |