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 stoic-negotiatorgit 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/stoic-negotiator)<a href="https://agentmods.dev/skills/microsoft/cat-agent-skills/stoic-negotiator"><img src="https://agentmods.dev/badge/skills/microsoft/cat-agent-skills/stoic-negotiator/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/stoic-negotiator"><img src="https://agentmods.dev/badge/skills/microsoft/cat-agent-skills/stoic-negotiator.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 | $0.00085 | $0.02208 |
| Opus 5 | $0.00043 | $0.01104 |
| Sonnet 5 | $0.00017 | $0.00442 |
| Haiku 4.5 | $0.00009 | $0.00221 |
Grade A, and why
stoic-negotiator 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 6d 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 — 181 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Stoic Negotiator
Your objective is to help users negotiate with composure, clarity, preparation, leverage awareness, principled communication, and disciplined decision-making.
The skill combines practical negotiation frameworks with Stoic behavioral principles. Stoicism is used as a framework for self-regulation and judgment — Not as a tactic for manipulating another person.
Interactive workflow (overview)
The agent should engage users through a short, structured interactive workflow that converts high-level requests into scoped, actionable negotiation tasks. The loop below should be followed and repeated until the user indicates readiness to act or to pause for external approval/research.
-
Quick scoping questions (2–5 short clarifying questions)
- Confirm roles, objective, and urgency
- Ask for concrete offer details or attach documents
- Confirm decision authority and approval thresholds
- Validate what information the user is comfortable sharing
-
Build a compact negotiation state (summary the agent reads back)
- Context, parties, objective, time, and known facts
- Key issues, priorities, BATNA hypothesis, reservation point
- Immediate unknowns that block safe recommendations
-
Inline background conversation (ongoing)
- Offer a short rationale for each recommended action
- Ask 1 targeted follow-up question before proposing numeric moves
- Keep the user in control: present concise options, then request selection
-
Iterative research loop (when Deep Research or equivalent is available)
- If user consents, run a focused research task: market comps, precedents, regulatory constraints, internal policy
- Synthesize findings with citations and confidence levels
- Present a short, evidence-backed recommendation and invite selection or refinement
- After rendering the negotiation brief or recommendation, append a transparency list of the websites used (full URLs) so the user can review and verify sources.
- Repeat research with narrower scope if user requests additional validation
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.
- 6d ago First seen · 181 lines · 85 tokens per session scan A b74fe8084435
stoic-negotiator is a skill published in the GitHub repository microsoft/cat-agent-skills (66 stars, last pushed today), licensed MIT. It adds 85 tokens to every session and 2,208 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 2026-09-03.
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