Microsoft Agent Framework is a multi-language framework for building, coordinating, and running AI agents and workflows in Python and .NET. Teams use it for agent systems that need orchestration, collaboration, durability, observability, governance, or human involvement beyond a single prompt or chat loop. Catalogue add-ons provide skills and instructions for working with the framework.
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/agent-framework --skill valuationgit clone --depth 1 https://github.com/microsoft/agent-frameworkWrote 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/agent-framework/valuation)<a href="https://agentmods.dev/skills/microsoft/agent-framework/valuation"><img src="https://agentmods.dev/badge/skills/microsoft/agent-framework/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/agent-framework/valuation"><img src="https://agentmods.dev/badge/skills/microsoft/agent-framework/valuation.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 | $0.00051 | $0.00211 |
| Opus 5.5 | $0.00020 | $0.00084 |
| Sonnet 5.5 | $0.00010 | $0.00042 |
| Haiku 4.5 | $0.00005 | $0.00021 |
Grade A, and why
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 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.
What it actually says
Usage
When the user asks whether a stock is fairly valued, over-valued, or under-valued:
- Read
references/valuation-guide.mdto pick a sensible target P/E for the company's sector. - Run
scripts/valuation_metrics.pywith the current price, trailing EPS, and the target P/E, e.g.--price 462.97 --eps 11.80 --target-pe 32. - Report the computed P/E, the fair-value estimate, and the percentage upside/downside, then state plainly whether the stock looks cheap or expensive on this measure.
Always remind the user that a single P/E heuristic is not investment advice and ignores growth, debt, and many other factors.
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 · 18 lines · 51 tokens per session scan A 5c2cd7d93858
valuation is a skill published in the GitHub repository microsoft/agent-framework (14,148 stars, last pushed today), licensed MIT. It adds 51 tokens to every session and 211 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 2026-08-30.
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