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 seaworld008/Commonly-used-high-value-skills --skill meeting-minutes-takergit clone --depth 1 https://github.com/seaworld008/Commonly-used-high-value-skillsWrote 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/seaworld008/commonly-used-high-value-skills/meeting-minutes-taker)<a href="https://agentmods.dev/skills/seaworld008/commonly-used-high-value-skills/meeting-minutes-taker"><img src="https://agentmods.dev/badge/skills/seaworld008/commonly-used-high-value-skills/meeting-minutes-taker/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/seaworld008/commonly-used-high-value-skills/meeting-minutes-taker"><img src="https://agentmods.dev/badge/skills/seaworld008/commonly-used-high-value-skills/meeting-minutes-taker.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, 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 Memory Poisoning · line 316 Skill attempts to fill the context window with filler content, displacing legitimate instructions and safety constraints. This can degrade agent performance or bypass safety boundaries.Fix: Implement context-window management that detects and rejects padding or stuffing attempts. Prioritize system instructions over user-injected content.
- medium Excessive Agency · line 639 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00033 | $0.04831 |
| Opus 5 | $0.00016 | $0.02416 |
| Sonnet 5 | $0.00007 | $0.00966 |
| Haiku 4.5 | $0.00003 | $0.00483 |
Grade A, and why
meeting-minutes-taker 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 5d 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 — 486 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Meeting Minutes Taker
Transform raw meeting transcripts into comprehensive, evidence-based meeting minutes through iterative review.
Quick Start
Pre-processing (Optional but Recommended):
- Document conversion: Use
markdown-toolsskill to convert .docx/.pdf to Markdown first (preserves tables/images) - Transcript cleanup: Use
transcript-fixerskill to fix ASR/STT errors if transcript quality is poor - Context file: Prepare
context.mdwith team directory for accurate speaker identification
Core Workflow:
- Read the transcript provided by user
- Load project-specific context file if provided by user (optional)
- Intelligent file naming: Auto-generate filename from content (see below)
- Speaker identification: If transcript has "Speaker 1/2/3", identify speakers before generation
- Multi-turn generation: Use multiple passes or subagents with isolated context, merge using UNION
- Self-review using references/completeness_review_checklist.md
- Present draft to user for human line-by-line review
- Cross-AI comparison (optional): Human may provide output from other AI tools (e.g., Gemini, ChatGPT) - merge to reduce bias
- Iterate on feedback until human approves final version
Intelligent File Naming
Auto-generate output filename from transcript content:
Pattern: YYYY-MM-DD-<topic>-<type>.md
| Component | Source | Examples |
|---|---|---|
| Date | Transcript metadata or first date mention | 2026-01-25 |
| Topic | Main discussion subject (2-4 words, kebab-case) | api-design, product-roadmap |
| Type | Meeting category | review, sync, planning, retro, kickoff |
Examples:
2026-01-25-order-api-design-review.md2026-01-20-q1-sprint-planning.md2026-01-18-onboarding-flow-sync.md
Ask user to confirm the suggested filename before writing.
Core Workflow
Read the detailed procedure and examples when working on this part of the task.
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.
- 5d ago Changed · -169 lines · -140 tokens per session 2c77bee9a690
- 9d ago First seen · 655 lines · 173 tokens per session scan A c47b46af4eed
meeting-minutes-taker is a skill published in the GitHub repository seaworld008/Commonly-used-high-value-skills (70 stars, last pushed 5d ago), licensed MIT. It adds 33 tokens to every session and 4,831 once invoked, about $0.0002 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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