minutes-x1-closeout

minutes-x1-closeout is a skill for Codex from silverstein/minutes. It costs 71 tokens per session (1,128 once invoked), scanned A, original, MIT.

A workflow for preparing a proposed closeout of an existing coordination thread using a meeting decision or commitment as its source. It keeps a person responsible for reviewing and approving the final outcome.

In plain words
What is it for?
Finding a supported meeting outcome, matching it to one open coordination thread, and preparing a close, defer, escalate, or retire proposal.
Why use it?
It helps connect a meeting result to the correct open work item without treating an inferred decision as authorization to close it automatically.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: installed under .agents/ (shared by several agents).

Good fit Finding a supported meeting outcome, matching it to one open coordination thread, and preparing a close, defer, escalate, or retire proposal.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/silverstein/minutes/minutes-x1-closeout
About the project

Minutes is an open-source, local-first meeting recorder that transcribes meetings, calls, and voice memos on the device and stores the results as Markdown files. It is for people who want their meeting records available to Claude Code, Codex, Cursor, and other MCP clients without uploading them. The catalogue add-ons extend agent workflows for querying and using those local meeting files.

silverstein/minutes · 1,473 stars · on GitHub · useminutes.app

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 silverstein/minutes --skill minutes-x1-closeout
Clone the repo
git clone --depth 1 https://github.com/silverstein/minutes

Made for: 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 minutes-x1-closeout

README.md
[![agentmods](https://agentmods.dev/badge/skills/silverstein/minutes/minutes-x1-closeout/github.svg)](https://agentmods.dev/skills/silverstein/minutes/minutes-x1-closeout)
Your own site
<a href="https://agentmods.dev/skills/silverstein/minutes/minutes-x1-closeout"><img src="https://agentmods.dev/badge/skills/silverstein/minutes/minutes-x1-closeout/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 minutes-x1-closeout

Your own site · 80×15
<a href="https://agentmods.dev/skills/silverstein/minutes/minutes-x1-closeout"><img src="https://agentmods.dev/badge/skills/silverstein/minutes/minutes-x1-closeout.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 71 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,128 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00071 $0.01128
Opus 5 $0.00036 $0.00564
Sonnet 5 $0.00014 $0.00226
Haiku 4.5 $0.00007 $0.00113

Measured 7d ago against content hash fca8fd7e447a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

minutes-x1-closeout 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 7d 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/minutes/minutes-x1-closeout/SKILL.md · 93 lines

How it starts

The opening of the file, as written. The whole thing — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/minutes-x1-closeout

Turn one clear meeting outcome into a proposed closeout for one existing X1 coordination thread. Minutes supplies the source. X1 supplies identity, authority, review, disposition, and the household record.

Required connections

This workflow needs both the local Minutes MCP and the official X1 MCP. If X1 isn't connected, stop after identifying the meeting outcome and direct the user to X1's official connection instructions. Don't invent an endpoint, credential, account, thread ID, or local substitute.

Workflow

  1. Call Minutes get_meeting_insights with include_restricted: false to find an explicit or strong decision or commitment that supports the closeout the user requested. The logged restricted-source override is forbidden for this cross-service handoff. Use only an insight released by that bounded call. Don't use agent.annotation, a raw path, a transcript fragment read outside Minutes, or a model-written summary as source proof.

  2. Use X1 find_coordination_threads or list_my_coordination_threads, then get_coordination_thread, to resolve exactly one open thread the signed-in X1 actor can read. If zero or multiple threads plausibly match, ask the user to choose. Never select a hidden, closed, or guessed target.

  3. Ask the user to choose the X1 outcome if they haven't already: resolved, escalated_elsewhere, deferred, or no_longer_relevant. Meeting language that money was sent, a wire was approved, or a payment was discussed doesn't prove settlement. Keep the work open unless the user explicitly chooses a non-settlement closeout.

  4. Build sourceProposal from the exact released Minutes insight:

    • schema: minutes.x1.proposed-closeout
    • schemaVersion: 1
    • sourceKind: meeting_insight
    • insightRecordedAt: copy timestamp exactly
    • insightKind: copy kind exactly
    • confidence: copy confidence exactly
    • sourceExcerpt: copy content exactly
    • sourceAudienceState: unbound
    • sourceParticipantCount: the exact length of participants, or 0 when the released insight has no participant array
    • sourceRefSha256: SHA-256 of the exact source_meeting string, computed locally
    • sourceContentSha256: SHA-256 of the exact content string, computed locally

Read the full file on GitHub · 93 lines

Files

What ships with it

1 file 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. 7d ago First seen · 93 lines · 71 tokens per session scan A fca8fd7e447a

Subscribe to this mod's changes

minutes-x1-closeout is a skill published in the GitHub repository silverstein/minutes (1,473 stars, last pushed yesterday), licensed MIT. It adds 71 tokens to every session and 1,128 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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