loomkin: Skill for Claude Code

.agents/skills/vault-meeting/SKILL.md

vault-meeting is a skill for Claude Code from pass-agent/loomkin. It costs 23 tokens per session (1,431 once invoked), scanned A, original, MIT.

A meeting-transcript processing skill that turns a conversation into structured notes about decisions, tasks, and key discussion points.

In plain words
What is it for?
Use it to create meeting notes, decision records, individual notes, and tracked follow-up tasks from a transcript.
Why use it?
It removes the need to manually reread a transcript and organize its important outcomes. For long meetings, the work can be divided among several specialized agents.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: installed under .agents/ (shared by several agents).

This is pass-agent/loomkin's own configuration. It tells Claude Code how to work on loomkin itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything loomkin configures →

Reuse

Borrowing it

Nothing to install: this file belongs to pass-agent/loomkin. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/pass-agent/loomkin/main/.agents/skills/vault-meeting/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/pass-agent/loomkin

Made for: Claude Code.

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README.md
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Per session 23 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,431 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 $0.00023 $0.01431
Opus 5 $0.00012 $0.00715
Sonnet 5 $0.00005 $0.00286
Haiku 4.5 $0.00002 $0.00143

Measured 10d ago against content hash 0199eb901c40, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

vault-meeting 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 10d 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.

.agents/skills/vault-meeting/SKILL.md · 151 lines

How it starts

The opening of the file, as written. The whole thing — 151 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Process a meeting transcript and extract structured information into the knowledge base.

Team Mode (Large Transcripts)

If the transcript is very long (60+ minutes of conversation, or the user requests team processing), spawn a team to parallelize the work:

team_spawn(
  team_name: "meeting-processing",
  purpose: "Process a long meeting transcript into structured vault entries",
  roles: [
    %{name: "meeting-lead", role: "lead"},
    %{name: "vault-researcher", role: "researcher"},
    %{name: "vault-writer", role: "coder"},
    %{name: "vault-reviewer", role: "reviewer"}
  ]
)

Team roles:

  • meeting-lead: Orchestrates extraction, manages redaction judgment, coordinates. Reads the transcript, identifies decisions/action items/topics, delegates creation to the writer.
  • vault-researcher: Queries vault for related context — prior decisions on discussed topics, open tasks for mentioned projects, recent checkins from attendees. Provides context to the lead and writer.
  • vault-writer: Creates the meeting note, decision records, atomic notes, and kanban items with proper formatting and linking. Works from the lead's extraction.
  • vault-reviewer: Validates output quality — checks for temporal language in notes, verifies link targets exist, ensures frontmatter is complete. Runs vault_audit on created entries.

The researcher and writer can work in parallel on different aspects. For shorter meetings (under 60 minutes), skip team mode and process single-agent.


Step 0: Get the Transcript

Determine where the transcript is:

  • Pasted directly: Use the text from the user's message
  • Google Drive link or file ID: fetch_content(source: "google_drive", identifier: "{file_id}")
  • URL: fetch_content(source: "url", identifier: "{url}")
  • Local file reference: Use vault_read or file_read as appropriate

If the user says something like "process the meeting from Drive" without a specific file, use ask_user to get the file ID or link.

Read the full file on GitHub · 151 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. 10d ago First seen · 151 lines · 23 tokens per session scan A 0199eb901c40

Subscribe to this mod's changes

vault-meeting is a skill published in the GitHub repository pass-agent/loomkin (179 stars, last pushed 3mo ago), licensed MIT. It adds 23 tokens to every session and 1,431 once invoked, about $0.0001 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.