meeting-action-items

meeting-action-items is a skill for Claude Code, Codex from androoAGI/starnet. It costs 39 tokens per session (922 once invoked), scanned A, original, MIT.

A process for turning meeting notes or a transcript into sourced decisions, commitments, owners, blockers, and follow-up text. It separates decisions from proposals and keeps drafts waiting for approval.

In plain words
What is it for?
Use it to extract action items, record who owns them, identify risks and open questions, draft follow-up messages, and reconcile actions with a task board.
Why use it?
Meeting discussions often mix ideas with actual decisions, making ownership and next steps unclear. This process prevents brainstorming from becoming an accidental task or decision and checks new tasks against existing ones.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to extract action items, record who owns them, identify risks and open questions, draft follow-up messages, and reconcile actions with a task board.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/androoagi/starnet/meeting-action-items
About the project

StarNet is a local-first desktop harness for creating AI agents and arranging them in a pixel-art space station whose layout represents their capabilities, permissions, and workflow. It lets people run real model calls and tools through multiple bounded agents, using their own provider keys or accounts and optionally messaging the station through chat services. The catalogue entries are skills that extend or support work performed by StarNet agents.

androoAGI/starnet · 1,468 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 androoAGI/starnet --skill meeting-action-items
Clone the repo
git clone --depth 1 https://github.com/androoAGI/starnet

Made for: Claude Code, Codex.

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.

agentmods badge for meeting-action-items

README.md
[![agentmods](https://agentmods.dev/badge/skills/androoagi/starnet/meeting-action-items/github.svg)](https://agentmods.dev/skills/androoagi/starnet/meeting-action-items)
Your own site
<a href="https://agentmods.dev/skills/androoagi/starnet/meeting-action-items"><img src="https://agentmods.dev/badge/skills/androoagi/starnet/meeting-action-items/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.

agentmods 80×15 button for meeting-action-items

Your own site · 80×15
<a href="https://agentmods.dev/skills/androoagi/starnet/meeting-action-items"><img src="https://agentmods.dev/badge/skills/androoagi/starnet/meeting-action-items.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 39 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 922 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.
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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00039 $0.00922
Opus 5.5 $0.00016 $0.00369
Sonnet 5.5 $0.00008 $0.00184
Haiku 4.5 $0.00004 $0.00092

Measured 12d ago against content hash 519f22bf4d1e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

meeting-action-items 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 12d 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-catalog/skills/meeting-action-items/SKILL.md · 91 lines

How it starts

The opening of the file, as written. The whole thing — 91 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Meeting Action Items

Convert an existing transcript or set of notes into accountable follow-through. This skill begins once the notes or transcript are available, from any source. If they live in a connected meeting or storage service, retrieve them through that connector first (connectors.list shows what is connected).

When to use

  • "Extract the action items from this meeting."
  • "What did we decide, and who owns what?"
  • "Draft the follow-up and create the tasks."
  • "Reconcile these notes with the existing board."

Not for retrieving recordings or transcripts; get them first.

Procedure

1. Establish the meeting evidence

Read the provided notes or transcript with fs.read (or take the pasted text). Identify the meeting title and date, participants, source files, how complete the transcript is, and whether speaker or time references exist. Done when missing portions and low-confidence transcription are stated.

2. Separate evidence types

Extract into distinct lists:

  • decisions actually made
  • proposals not decided
  • explicit commitments
  • questions and blockers
  • risks and dependencies
  • facts and context

Do not turn brainstorming into decisions. Done when each candidate item has a supporting quote, timestamp, page, or note reference where one is available.

3. Normalize action items

For every commitment, record:

Field Rule
outcome A concrete result, not a vague topic
owner An explicitly named owner; otherwise unresolved
due date An explicit date or unresolved; never invent one
dependency What must happen first
acceptance An observable completion condition
source Transcript or note reference

Done when every action has supported fields or visibly unresolved values.

4. Reconcile existing records

Search the system that owns the work before creating anything: the station task board (task.list) or the Commander's connected tracker. Recurring meetings breed duplicate tickets. Keep conflicts in owner, date, or status visible for the Commander to confirm rather than silently overwriting them. Done when proposed creates and proposed updates are clearly separated.

Read the full file on GitHub · 91 lines

Files

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.

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.

  1. 12d ago First seen · 91 lines · 39 tokens per session scan A 519f22bf4d1e

Subscribe to this mod's changes

meeting-action-items is a skill published in the GitHub repository androoAGI/starnet (1,468 stars, last pushed 3d ago), licensed MIT. It adds 39 tokens to every session and 922 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 2026-10-04.

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