meeting-autopilot

meeting-autopilot is a skill for Claude Code, Codex from cacheforge-ai/cacheforge-skills. It costs 52 tokens per session (1,265 once invoked), scanned A, original, MIT.

A meeting-transcript workflow that extracts action items, decisions, follow-up email drafts, and ticket drafts from VTT, SRT, or plain-text transcripts. VTT and SRT are text formats that include timed speech captions.

In plain words
What is it for?
Use it to process meeting notes or transcripts, identify decisions and tasks, draft follow-up messages, and prepare issue or ticket descriptions.
Why use it?
It turns meeting discussion into work that can be assigned or sent, instead of producing only a summary.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for openclaw. Also seen: built for openclaw.

Good fit Use it to process meeting notes or transcripts, identify decisions and tasks, draft follow-up messages, and prepare issue or ticket descriptions.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/cacheforge-ai/cacheforge-skills/meeting-autopilot
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 cacheforge-ai/cacheforge-skills --skill meeting-autopilot
Clone the repo
git clone --depth 1 https://github.com/cacheforge-ai/cacheforge-skills

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-autopilot

README.md
[![agentmods](https://agentmods.dev/badge/skills/cacheforge-ai/cacheforge-skills/meeting-autopilot.svg)](https://agentmods.dev/skills/cacheforge-ai/cacheforge-skills/meeting-autopilot)
Your own site
<a href="https://agentmods.dev/skills/cacheforge-ai/cacheforge-skills/meeting-autopilot"><img src="https://agentmods.dev/badge/skills/cacheforge-ai/cacheforge-skills/meeting-autopilot.svg" alt="Measured on agentmods" height="20"></a>
Per session 52 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,265 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. 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 $0.00052 $0.01265
Opus 5 $0.00026 $0.00633
Sonnet 5 $0.00010 $0.00253
Haiku 4.5 $0.00005 $0.00127

Measured 8d ago against content hash ddf8329a282a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

meeting-autopilot scanned grade A with 1 finding 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 8d ago.

The scan reads SKILL.md. This mod also ships 5 executable files (scripts/common.sh, scripts/extract-items.sh, scripts/generate-outputs.sh, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

- **bash**, **jq**, **python3**, **curl** (typically pre-installed)
skills/meeting-autopilot/SKILL.md · 138 lines

How it starts

The opening of the file, as written. The whole thing — 138 lines — stays where its author put it; the contents beside it link to each section on GitHub.

✈️ Meeting Autopilot

Turn meeting transcripts into structured operational outputs — NOT just summaries.

Activation

This skill activates when the user mentions:

  • "meeting transcript", "meeting notes", "meeting autopilot"
  • "action items from meeting", "meeting follow-up"
  • "process this transcript", "analyze this meeting"
  • "extract decisions from meeting", "meeting email draft"
  • Uploading or pasting a VTT, SRT, or text transcript

Permissions

permissions:
  exec: true          # Run extraction scripts
  read: true          # Read transcript files
  write: true         # Save history and reports
  network: true       # LLM API calls (Anthropic or OpenAI)

Requirements

  • bash, jq, python3, curl (typically pre-installed)
  • ANTHROPIC_API_KEY or OPENAI_API_KEY environment variable

Agent Workflow

Step 1: Get the Transcript

Ask the user for their meeting transcript. Accept any of:

  • A file path to a VTT, SRT, or TXT file
  • Pasted text directly in the conversation
  • A file upload

The skill auto-detects the format (VTT, SRT, or plain text).

Important: This skill does NOT do audio transcription. If the user has an audio/video file, suggest they use:

  • Zoom/Google Meet/Teams built-in transcription
  • Otter.ai or Fireflies.ai for recording + transcription
  • whisper.cpp for local transcription

Step 2: Get Optional Context

Ask for (but don't require):

  • Meeting title — helps with email subject lines and report headers
  • If not provided, the skill derives it from the filename or uses "Meeting [date]"

Step 3: Run the Autopilot

Save the transcript to a temporary file if pasted, then run:

bash "$SKILL_DIR/scripts/meeting-autopilot.sh" <transcript_file> --title "Meeting Title"

Or from stdin:

echo "$TRANSCRIPT" | bash "$SKILL_DIR/scripts/meeting-autopilot.sh" - --title "Meeting Title"

The script handles all three passes automatically:

  1. Parse — normalize the transcript format
  2. Extract — pull out decisions, action items, questions via LLM
  3. Generate — create email drafts, ticket drafts, beautiful report

Read the full file on GitHub · 138 lines

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. 8d ago First seen · 138 lines · 52 tokens per session scan A ddf8329a282a

Subscribe to this mod's changes

meeting-autopilot is a skill published in the GitHub repository cacheforge-ai/cacheforge-skills (10 stars, last pushed 6mo ago), licensed MIT. It adds 52 tokens to every session and 1,265 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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