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-video-reviewgit 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-video-review)<a href="https://agentmods.dev/skills/silverstein/minutes/minutes-video-review"><img src="https://agentmods.dev/badge/skills/silverstein/minutes/minutes-video-review/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-video-review"><img src="https://agentmods.dev/badge/skills/silverstein/minutes/minutes-video-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 3 findings, up to high
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 →
- high YARA Match · line 56 YARA rule matched a known malware signature (reverse shell, backdoor, ransomware, C2 framework, or info stealer).Fix: Remove the malware payload or compromised file entirely. Investigate how it entered the skill and audit all other artifacts for additional indicators of compromise.
- high Privilege Escalation · line 57 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- medium Rogue Agent · line 30 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 | $0.00053 | $0.01250 |
| Opus 5 | $0.00026 | $0.00625 |
| Sonnet 5 | $0.00011 | $0.00250 |
| Haiku 4.5 | $0.00005 | $0.00125 |
Grade A, and why
minutes-video-review scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 170 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill Path
Before running helper scripts or opening bundled references, set:
export MINUTES_SKILLS_ROOT="$(git rev-parse --show-toplevel)/.agents/skills/minutes"
export MINUTES_SKILL_ROOT="$MINUTES_SKILLS_ROOT/minutes-video-review"
/minutes-video-review
Analyze a product walkthrough, bug report video, Loom, ScreenPal, or local recording into a durable artifact bundle that agents can keep working from.
This skill is for meeting-adjacent product artifacts, not for generic "understand any video" requests. Use it when the user wants a recorded demo, bug repro, or walkthrough turned into something actionable for engineering, product, support, or follow-up agent work.
What this skill does
The bundled script handles the deterministic pipeline:
- resolve a local file or hosted video URL
- download hosted video when needed
- extract audio with
ffmpeg - transcribe with Minutes first, using the user's existing Minutes transcription setup
- sample key frames with adaptive caps so long videos do not blow up context
- write a durable artifact bundle under
~/.minutes/video-reviews/
Then you review the resulting artifacts and return the actual user-facing brief.
Primary command
Local file:
python3 "$MINUTES_SKILL_ROOT/scripts/video_review.py" \
"/absolute/path/to/video.mp4"
Hosted video:
python3 "$MINUTES_SKILL_ROOT/scripts/video_review.py" \
"https://go.screenpal.com/watch/..."
Useful options:
python3 "$MINUTES_SKILL_ROOT/scripts/video_review.py" \
"https://www.loom.com/share/..." \
--focus "customer signup bug repro" \
--cookies-from-browser chrome \
--env-file /absolute/path/to/.env \
--frame-step 15 \
--max-frames 36 \
--keep-temp
How to use it
Phase 1: Run the pipeline
Run the script on the provided local file or hosted video URL.
The script prints JSON with the output artifact paths. Important outputs include:
analysis_mdanalysis_jsontranscript_mdmetadata_jsonframes_dircontact_sheet_artifact
What ships with it
4 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.
- 12d ago First seen · 170 lines · 53 tokens per session scan A 5c786d13f84e
minutes-video-review is a skill published in the GitHub repository silverstein/minutes (1,474 stars, last pushed 2d ago), licensed MIT. It adds 53 tokens to every session and 1,250 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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