minutes-lint

minutes-lint is a skill for Codex from silverstein/minutes. It costs 61 tokens per session (747 once invoked), scanned A, original, MIT.

A meeting-history checker that looks for conflicting decisions and action items that have not been updated for too long. An action item is a promised task; a stale one is a task with no recent progress.

In plain words
What is it for?
Use it to audit meeting records, find decision conflicts, identify stale tasks, or limit the check to one owner or a chosen age threshold.
Why use it?
It helps uncover outdated commitments and decisions that may disagree across meetings, while leaving restricted meetings out of the check.

Skill for Codex

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

Good fit Use it to audit meeting records, find decision conflicts, identify stale tasks, or limit the check to one owner or a chosen age threshold.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/silverstein/minutes/minutes-lint
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-lint
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-lint

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/silverstein/minutes/minutes-lint"><img src="https://agentmods.dev/badge/skills/silverstein/minutes/minutes-lint.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 61 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 747 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 $0.00061 $0.00747
Opus 5 $0.00030 $0.00374
Sonnet 5 $0.00012 $0.00149
Haiku 4.5 $0.00006 $0.00075

Measured 11d ago against content hash 81e8d4ff47c1, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

minutes-lint 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 11d 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-lint/SKILL.md · 77 lines

How it starts

The opening of the file, as written. The whole thing — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/minutes-lint

Run a consistency check across policy-authorized normal meetings to find decision conflicts and stale commitments. Restricted meetings are excluded from this agent workflow by default and must never be described as absent evidence.

How to run the lint

  1. Run the consistency check:

    minutes consistency --stale-after-days 14
    

    Optional filters:

    • --owner <name> — limit to commitments assigned to a specific person
    • --stale-after-days <N> — change the staleness threshold (default: 7)
  2. Parse the JSON output and present it as readable markdown.

Formatting the report

Decision Conflicts

For each conflict, show:

**Topic: {topic}**
- Latest: "{latest decision text}" — *{meeting title}* ({date})
- Prior: "{prior decision text}" — *{meeting title}* ({date})
- **Status**: These decisions may contradict each other.

Frontmatter v2: resolved supersessions. When the resolution field is present on a conflict, the newer decision has a supersedes: entry in its frontmatter. Treat this as informational, not a red flag. Format as:

**Topic: {topic}** ✓ Resolved
- Current: "{latest decision text}" — *{meeting title}* ({date})
- Superseded: "{prior decision text}" — *{meeting title}* ({date})
- **Status**: {resolution text}

If the latest decision also carries an authority field (high/medium/low), surface it next to the title. Authority is optional — when absent, omit the tag.

Stale Commitments

For each stale item, show:

- [ ] **@{who}**: {task} (due {due_date}, {age_days} days overdue)
  - Last discussed: *{meeting title}* ({date})

Clean bill of health

If no conflicts and no stale commitments, say: "No decision conflicts or stale commitments found across your meetings. Everything looks consistent."

When to suggest next steps

  • If there are decision conflicts: suggest running /minutes-debrief on the most recent conflicting meeting, or /minutes-search "{topic}" to review the full decision history
  • If there are stale commitments: suggest the user update the action item status in the meeting file, or bring it up in the next meeting with that person
  • Relationship-graph commitments come from minutes commitments --json; treat a nonzero exit as unavailable, never empty

Read the full file on GitHub · 77 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. 11d ago First seen · 77 lines · 61 tokens per session scan A 81e8d4ff47c1

Subscribe to this mod's changes

minutes-lint is a skill published in the GitHub repository silverstein/minutes (1,473 stars, last pushed today), licensed MIT. It adds 61 tokens to every session and 747 once invoked, about $0.0003 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.

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