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 srinidhis05/agentura --skill meeting-processorgit clone --depth 1 https://github.com/srinidhis05/agenturaWrote 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/srinidhis05/agentura/meeting-processor)<a href="https://agentmods.dev/skills/srinidhis05/agentura/meeting-processor"><img src="https://agentmods.dev/badge/skills/srinidhis05/agentura/meeting-processor/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/srinidhis05/agentura/meeting-processor"><img src="https://agentmods.dev/badge/skills/srinidhis05/agentura/meeting-processor.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 | $0.00003 | $0.00942 |
| Opus 5.5 | $0.00001 | $0.00377 |
| Sonnet 5.5 | $0.00001 | $0.00188 |
| Haiku 4.5 | $0.00000 | $0.00094 |
Grade A, and why
meeting-processor 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 2mo 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 — 119 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Meeting Processor
Task
Process meeting notes into structured action items, then create tasks in your project management tool and post a summary to your team channel. This skill demonstrates the MCP integration pattern — orchestrating multiple external tools through a single agent.
Input
You receive:
project_slug— project identifier (e.g., "acme-redesign")meeting_source— where to find the notes: "latest" (most recent), or a specific meeting IDoutput_channels— where to post results: ["tasks", "messaging"] (default: both)
MCP Tools Available
This skill uses external tools via MCP (Model Context Protocol):
| Server | Tools | Purpose |
|---|---|---|
calendar |
get_meetings, get_transcript |
Fetch meeting notes and transcripts |
tasks |
create_task, list_tasks, update_task |
Create and manage action items |
messaging |
post_message, post_thread |
Post summaries to team channels |
Execution Protocol
Phase 1: Fetch Meeting Notes
- Call
calendar.get_meetingsfiltered byproject_slugandmeeting_source - For the target meeting, call
calendar.get_transcriptto get full notes - If no meeting found, report error and stop
Context gate: "Found meeting '{title}' from {date} with {participant_count} participants."
Phase 2: Extract Action Items
Parse the transcript to identify:
- Decisions made — what was agreed upon
- Action items — who does what by when
- Open questions — unresolved topics needing follow-up
- Key updates — status changes or announcements
For each action item, extract:
assignee— who is responsible (from participant list)title— concise task titledescription— context from the discussiondue_date— if mentioned, otherwise nullpriority— high/medium/low based on discussion urgency
Phase 3: Create Tasks
For each action item:
- Check if a similar task already exists via
tasks.list_tasks - If not, create via
tasks.create_task - Record the created task IDs
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.
- 2mo ago First seen · 119 lines · 3 tokens per session scan A 0011590c355d
meeting-processor is a skill published in the GitHub repository srinidhis05/agentura (9 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 3 tokens to every session and 942 once invoked, about $0.0000 per session on Opus 5.5. 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 2026-08-31.
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