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-ingestgit 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-ingest)<a href="https://agentmods.dev/skills/silverstein/minutes/minutes-ingest"><img src="https://agentmods.dev/badge/skills/silverstein/minutes/minutes-ingest/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-ingest"><img src="https://agentmods.dev/badge/skills/silverstein/minutes/minutes-ingest.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00072 | $0.00882 |
| Opus 5 | $0.00036 | $0.00441 |
| Sonnet 5 | $0.00014 | $0.00176 |
| Haiku 4.5 | $0.00007 | $0.00088 |
Grade A, and why
minutes-ingest 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.
How it starts
The opening of the file, as written. The whole thing — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/minutes-ingest
Process meetings through the knowledge extraction pipeline to update person profiles, append to the knowledge log, and maintain the index.
Prerequisites
The [knowledge] section must be configured in ~/.config/minutes/config.toml:
[knowledge]
enabled = true
path = "/path/to/knowledge/base"
adapter = "wiki" # or "para", "obsidian"
engine = "none" # or "agent" for LLM extraction
min_confidence = "strong"
If not configured, explain what's needed and offer to help set it up.
How to run
Single meeting
minutes ingest ~/meetings/2026-04-03-strategy-call.md
All normal meetings (backfill)
minutes ingest --all
Preview without writing (recommended first time)
minutes ingest --all --dry-run
What it does
- Reads each meeting's YAML frontmatter (decisions, action_items, entities, intents)
- Extracts structured facts with confidence levels and source provenance
- Updates person profiles in the knowledge base (adapter-dependent format)
- Appends to
log.mdwith a timestamped entry for each ingested meeting - Skips facts that already exist (deduplication) or are below the confidence threshold
- Excludes meetings designated
sensitivity: restrictedfrom automated knowledge-base ingestion
Safety guarantees
engine = "none"(default): Only extracts from parsed YAML frontmatter. No LLM involved, zero hallucination risk.- Confidence thresholds: Facts below
min_confidenceare counted as "skipped" but never written. - Provenance: Every fact records which meeting it came from and when.
- Deduplication: Facts whose text already appears in a person's profile are skipped.
- Dry-run: Always suggest
--dry-runfirst if the user hasn't used ingest before.
Interpreting the output
Ingesting 73 meeting(s) into knowledge base at /path/to/kb
2026-04-03-strategy.md — 4 written, 1 skipped — Mat, Dan
2026-04-05-standup.md — 2 written, 0 skipped — Alice
SKIP 2026-03-18-test.md: no frontmatter
Done. 6 fact(s) written, 1 skipped, 1 error(s), 3 people updated.
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.
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.
- 11d ago First seen · 81 lines · 72 tokens per session scan A 8079e496453d
minutes-ingest is a skill published in the GitHub repository silverstein/minutes (1,471 stars, last pushed yesterday), licensed MIT. It adds 72 tokens to every session and 882 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 2026-08-30.
Other skills, from other repositories
murmur-mcp
Query Murmur's local read-only MCP server for gated, indexed knowledge — semantic + full-text search over meetings and notes, entity dossiers, structured transcripts, open-commitment rollups, and typed note-folder database queries. Prefer this over grepping raw vault files. Use when you need to find, retrieve, or…
murmur-vault
How to coexist with Murmur's notes in an Obsidian vault — note anatomy, front-matter keys, managed sections you must never edit, wikilink discipline, entity stubs, where files live, the locked-folder disappeared-file rule, and the add-freely/prefer-append coexistence contract. Use when reading, editing, or creating…
mem0-oss-to-platform
Plan and then execute a migration of a project from the mem0 open-source / self-hosted SDK (the local Memory class) to the mem0 Platform / hosted / managed SDK (the MemoryClient class). Use this whenever a developer wants to move, switch, or migrate their mem0 usage off OSS/self-hosted to the hosted API — e.g.…
Cortex
Operate Cortex, the LifeOS memory system — the typed Knowledge Archive (People, Companies, Ideas, Research with typed related: links) plus recall of prior work sessions, ISAs, and conversations. Search, add, harvest, develop, ingest, distill, graph-navigate, recall. USE WHEN cortex, knowledge, knowledge base, search…
memory
Use when the user asks to remember, recall, forget, update, search, or inspect durable OpenSquilla memory, including profile facts in USER.md and long-term notes in MEMORY.md or memory//.md.
ha-data-stores
Map of Hope Agent's local data stores and safe read-only query workflow. Use when the user asks where Hope Agent stores data, wants to inspect sessions/messages/memory/logs/background jobs/knowledge indexes/settings, asks the model to query local app data, or debugging requires checking persisted state. Trigger…