A workspace scanner for a Copilot Studio agent, Microsoft’s tool for building conversational agents. It finds the agent’s topics and lists how each one starts, what phrases trigger it, how many actions it has, and which other topics it calls.

Use it to review an agent’s conversation topics, triggers, phrases, actions, and topic-to-topic calls in one table.

It removes the need to open and inspect topic files one by one. It also helps reveal system topics that may need extra care before editing.

list-topics — Skill for Claude Code by microsoft

About the project

Skills for Copilot Studio is a plugin for authoring, testing, and troubleshooting standard Microsoft Copilot Studio agents as YAML files from a terminal or editor. It is intended for users of Claude Code, GitHub Copilot CLI, and VS Code who work with Copilot Studio agents. The catalogue add-ons are the plugin's skills, agents, hook, and plugin definition.

microsoft/skills-for-copilot-studio · 433 stars · on GitHub

Install

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.

Any agent

npx skills add microsoft/skills-for-copilot-studio --skill list-topics

Clone the repo

git clone --depth 1 https://github.com/microsoft/skills-for-copilot-studio

Made for: Claude Code.

Or install copilot-studio, the plugin that ships this one along with the rest of its 31 skills, 4 agents, 1 hook.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/microsoft/skills-for-copilot-studio/list-topics.svg)](https://agentmods.dev/skills/microsoft/skills-for-copilot-studio/list-topics)

Your own site

<a href="https://agentmods.dev/skills/microsoft/skills-for-copilot-studio/list-topics"><img src="https://agentmods.dev/badge/skills/microsoft/skills-for-copilot-studio/list-topics.svg" alt="Measured on agentmods" height="20"></a>

Per session 31 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 362 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits

NVIDIA SkillSpector pass 7 Sept 2026

How audits are shown

Origin original No closer match found in the catalogue.

Token cost

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	$0.00031	$0.00362
Opus 5	$0.00015	$0.00181
Sonnet 5	$0.00006	$0.00072
Haiku 4.5	$0.00003	$0.00036

Measured 9d ago against content hash 99b15d4dffab, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

list-topics 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.

skills/list-topics/SKILL.md · 42 lines

What it actually says

List Topics in Solution

List all topics in the current agent with their trigger types and details.

Instructions

Auto-discover the agent directory — find all agents via:
```
Glob: **/agent.mcs.yml
```
- If multiple agents found, list them and ask which one to inspect.
- NEVER hardcode an agent name or path.
Find all topic files in the discovered agent directory:
```
Glob: <discovered-agent>/topics/*.topic.mcs.yml
```
For each topic file, read it and extract:
- Topic name (from the # Name: comment or filename)
- Trigger type (from beginDialog.kind)
- Trigger phrases (if OnRecognizedIntent, from triggerQueries)
- Number of actions in the actions array
- Dialog references (any BeginDialog or ReplaceDialog calls)

Present results in a table:

| # | Topic Name | Trigger | Phrases | Actions | Calls |
|---|------------|---------|---------|---------|-------|
| 1 | Greeting   | OnRecognizedIntent | Hello, Hi, Hey | 2 | - |
| 2 | Fallback   | OnUnknownIntent | - | 4 | Escalate |

Note any system topics (OnError, OnSelectIntent, OnSignIn) that should be modified with care.

Changes

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 · 42 lines · 31 tokens per session scan A 99b15d4dffab

Subscribe to this mod's changes

list-topics is a skill published in the GitHub repository microsoft/skills-for-copilot-studio (433 stars, last pushed 5d ago), licensed MIT. It adds 31 tokens to every session and 362 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.

Building agents

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

next-cache-components-optimizer

Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…

vercel/next.js · 170 tokens

next-partial-prefetching-adoption

Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…

vercel/next.js · 103 tokens

chronicle

Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…

microsoft/vscode · 72 tokens