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.
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.
npx skills add silverstein/minutes --skill minutes-mirrorgit clone --depth 1 https://github.com/silverstein/minutesWrote 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.
[](https://agentmods.dev/skills/silverstein/minutes/minutes-mirror)<a href="https://agentmods.dev/skills/silverstein/minutes/minutes-mirror"><img src="https://agentmods.dev/badge/skills/silverstein/minutes/minutes-mirror/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.
<a href="https://agentmods.dev/skills/silverstein/minutes/minutes-mirror"><img src="https://agentmods.dev/badge/skills/silverstein/minutes/minutes-mirror.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Rogue Agent · line 60 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00171 | $0.03330 |
| Opus 5 | $0.00086 | $0.01665 |
| Sonnet 5 | $0.00034 | $0.00666 |
| Haiku 4.5 | $0.00017 | $0.00333 |
Grade A, and why
minutes-mirror scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 228 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill Path
Before running helper scripts or opening bundled references, set:
export MINUTES_SKILLS_ROOT="$(git rev-parse --show-toplevel)/.agents/skills/minutes"
export MINUTES_SKILL_ROOT="$MINUTES_SKILLS_ROOT/minutes-mirror"
/minutes-mirror
Self-coaching analysis based on your own meeting transcripts. Two modes:
- Single-meeting mode — review a specific meeting and surface what you did, what was unusual for you, and one concrete thing to try next time.
- Pattern mode — surface trends across the last 30 days, including (if meetings are tagged) what behaviors correlate with winning vs losing.
The point is not to roast you. The point is to give you a kind, evidence-based mirror to behaviors that are usually invisible to you because you're inside them.
How it works
Phase 0: Identify "you"
Mirror needs to know which speaker label in the transcript is the user. Real transcripts use one of two formats:
- Enrolled users:
[Mat 0:00] Hey there.— first-name labels from voice enrollment - Non-enrolled users:
[SPEAKER_0 0:00] Hey there.— generic labels from diarization
Either way, mirror needs to know which label maps to the user. Check sources in order:
1. Enrolled voice profile:
minutes voices --json 2>/dev/null
Returns a JSON array of enrolled profiles. The user's profile is the one with source: "self-enrollment" (or the first one if there's only one). Use the name field as the speaker label to look for in transcripts. Example response:
[{"person_slug": "mat", "name": "Mat", "source": "self-enrollment", ...}]
→ Speaker label is Mat.
2. Cached self name(s):
cat ~/.minutes/config/self.txt 2>/dev/null
The cache may contain multiple labels, one per line (e.g., Mat, Mat S., MAT_SILVERSTEIN) — match any of them. People often appear under multiple labels across transcripts.
3. Ask once and cache: If neither source returns a name, ask via AskUserQuestion: "Which speaker label in your transcripts is you? You can give multiple if you appear under different names (e.g., 'Mat, Mat S., MAT_SILVERSTEIN')."
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.
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.
- 10d ago First seen · 228 lines · 171 tokens per session scan A 08ac419dadc6
minutes-mirror is a skill published in the GitHub repository silverstein/minutes (1,471 stars, last pushed today), licensed MIT. It adds 171 tokens to every session and 3,330 once invoked, about $0.0009 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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