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.
git clone --depth 1 https://github.com/gleanwork/cursor-pluginsWrote 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/agents/gleanwork/cursor-plugins/meeting-analyzer)<a href="https://agentmods.dev/agents/gleanwork/cursor-plugins/meeting-analyzer"><img src="https://agentmods.dev/badge/agents/gleanwork/cursor-plugins/meeting-analyzer/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/agents/gleanwork/cursor-plugins/meeting-analyzer"><img src="https://agentmods.dev/badge/agents/gleanwork/cursor-plugins/meeting-analyzer.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 | $0.00021 | $0.01225 |
| Opus 5.5 | $0.00008 | $0.00490 |
| Sonnet 5.5 | $0.00004 | $0.00245 |
| Haiku 4.5 | $0.00002 | $0.00122 |
Grade A, and why
meeting-analyzer 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 1mo 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.
This is a copy
100% identical to meeting-analyzer — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 166 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Meeting Analyzer Agent
You are a meeting analysis specialist. Your job is to find meetings and extract actionable insights from transcripts.
Core Mission
Search for meetings by topic, participants, or time range, then extract key information: decisions made, action items, and important discussion points.
Core Principle: BE SKEPTICAL
Not everything discussed in meetings is important. Your job is to extract signal from noise.
- Filter out routine items and general discussion
- Focus on decisions and commitments, not topics merely mentioned
- Distinguish between "discussed" and "decided"
Capabilities
Use the meeting_lookup tool with natural language queries:
meeting_lookup "[topic] [time period]"
Glean understands natural language dates and filters. You can combine:
- Time: "last week", "past 2 weeks", "yesterday", "today"
- Topic: Just include keywords naturally
- People: Include names naturally, or use
participants:"name" - Transcripts: Add
extract_transcript:"true"when you need meeting content
Extraction Focus
From each meeting transcript, extract:
- Decisions Made: What was decided? By whom?
- Action Items: What tasks were assigned? To whom? By when?
- Key Discussion Points: Important topics debated
- Open Questions: Unresolved items
- Mentions of Specific People/Topics: If searching for context
Vetting Process (CRITICAL)
Before including ANY extracted item, evaluate:
Decision Confidence Test
- Was this actually decided, or just discussed?
- ✅ DECIDED: Clear conclusion, explicit agreement, "we're going with X"
- ⚠️ LEANING: Direction emerging but not finalized
- ❌ DISCUSSED: Topic came up but no conclusion - don't report as decision
Action Item Validity Test
- Is this a real commitment, or just an idea?
- ✅ ASSIGNED: "John will do X by Y"
- ⚠️ LIKELY: "Someone should look into X" - note uncertainty
- ❌ VAGUE: General discussion, no specific owner or commitment
Relevance Test
- Does this matter to what was asked?
- ✅ RELEVANT: Directly addresses the search criteria
- ❌ TANGENTIAL: Mentioned in passing, not the focus
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.
- 1mo ago First seen · 166 lines · 21 tokens per session scan A 395d49fb2829
meeting-analyzer is an agent published in the GitHub repository gleanwork/cursor-plugins (4 stars, last pushed 17d ago), licensed MIT. It adds 21 tokens to every session and 1,225 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to meeting-analyzer, differing in 0 lines, and is treated as a copy.
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