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 pbeens/obsidian-agents.md --skill meeting-transcript-summarygit clone --depth 1 https://github.com/pbeens/obsidian-agents.mdWrote 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/pbeens/obsidian-agents.md/meeting-transcript-summary)<a href="https://agentmods.dev/skills/pbeens/obsidian-agents.md/meeting-transcript-summary"><img src="https://agentmods.dev/badge/skills/pbeens/obsidian-agents.md/meeting-transcript-summary/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/pbeens/obsidian-agents.md/meeting-transcript-summary"><img src="https://agentmods.dev/badge/skills/pbeens/obsidian-agents.md/meeting-transcript-summary.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00081 | $0.00849 |
| Opus 5 | $0.00041 | $0.00425 |
| Sonnet 5 | $0.00016 | $0.00170 |
| Haiku 4.5 | $0.00008 | $0.00085 |
Grade A, and why
meeting-transcript-summary 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 9d 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 — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Meeting Transcript Summary
Use this skill when a meeting transcript needs to be merged into the corresponding meeting note. The source may be .srt (for example from MacWhisper) or .txt (for example from Pixel / Google recordings).
Purpose
Turn transcript text into a concise meeting summary that helps follow-up and future reference without inventing details.
Routing
- Match the transcript to the meeting note by filename stem whenever possible.
- Transcript filenames usually mirror the meeting note name, with
.srtinstead of.md. - Read transcripts from
_transcripts/by default. - Accept either
.srtor.txttranscript files. - Normalize titles to Unicode NFC for matching only, and preserve the canonical Unicode spelling already present in the note or resolved from the filename.
- If the target note already exists, add or update a bottom-of-file
## AI summarysection. - If no target note exists, create the most specific matching meeting note with YAML frontmatter and add the summary there.
- If the transcript is not actually a meeting note, do not force it into a daily note; route the cleaned note to
Clippings/with YAML frontmatter instead.
Core Rules
- Do not invent or extrapolate beyond the transcript.
- Preserve the original intent and meaning.
- Strictly preserve all hyperlinks, including Markdown links and HTML links.
- Summarize neutrally.
- De-duplicate repetitive material while keeping important participant input.
- Correct spelling and grammar only when it improves clarity.
- Prioritize clarity over completeness when input is fragmented.
Output Structure
Use this default structure inside ## AI summary unless the note already uses a stronger local format:
- Meeting Summary
- Key Decisions
- Action Items
- Open Questions / Risks
- Discussion Notes
- Resources / References
Formatting Rules
- Use Obsidian Markdown.
- Use
- [ ]for action items. - Keep links intact and in place.
- Keep summaries concise and scannable.
- Put the summary under
## AI summaryat the bottom of the meeting note. - Any newly created note must start with YAML frontmatter.
- Do not convert action items into plain bullets or prose; preserve them as task checkboxes inside the AI summary.
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.
- 9d ago First seen · 83 lines · 81 tokens per session scan A 3708146ad8bf
meeting-transcript-summary is a skill published in the GitHub repository pbeens/obsidian-agents.md (20 stars, last pushed 4mo ago), licensed MIT. It adds 81 tokens to every session and 849 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.
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