Borrowing it
Nothing to install: this file belongs to benoror/obsidianos_work. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/benoror/obsidianos_work/main/.agents/skills/organize-meetings/SKILL.mdgit clone --depth 1 https://github.com/benoror/obsidianos_workWrote 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/benoror/obsidianos_work/organize-meetings)<a href="https://agentmods.dev/skills/benoror/obsidianos_work/organize-meetings"><img src="https://agentmods.dev/badge/skills/benoror/obsidianos_work/organize-meetings/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/benoror/obsidianos_work/organize-meetings"><img src="https://agentmods.dev/badge/skills/benoror/obsidianos_work/organize-meetings.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, 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 Excessive Agency · line 73 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 | $0.00046 | $0.01908 |
| Opus 5 | $0.00023 | $0.00954 |
| Sonnet 5 | $0.00009 | $0.00382 |
| Haiku 4.5 | $0.00005 | $0.00191 |
Grade A, and why
organize-meetings 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 11d 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 — 138 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Organize Meetings
Usage
/organize-meetings— SweepMeetings/_inbox/and propose destinations for every file./organize-meetings <path>— Categorize a single file (in or out of_inbox/)./organize-meetings --auto— Apply only high-confidence proposals (≥ 4/5 majority); leave the rest in_inbox/for next sweep.
When to run
| Caller | When |
|---|---|
| Standalone | Whenever you want to drain Meetings/_inbox/ (e.g. after /mail-transcripts created some stubs). |
/meeting wrap pending |
Step 1.5 — between /mail-transcripts and pending discovery, so triaged files are included in the pending scan. |
Why this skill exists
The Gemini-emailed archiver (.scripts/gmail_ai_transcripts_to_meetings.py) only knows deterministic patterns: daily standups, sprint ceremonies, recurring team meetings, etc. Everything name-dependent — 1:1s with anyone, cross-team syncs, novel meeting titles — lands in Meetings/_inbox/ and waits here for triage.
Routing is agent-driven, not script-driven: similarity (via qmd-vector_search) finds where the new note's siblings live; memory (feedback_meeting-routing.md) captures learned exceptions so future runs apply them automatically.
Frontmatter Conventions
Files in _inbox/ are normal meeting notes with Notes: and created: frontmatter. The skill does not modify frontmatter — it only moves files (git mv) and updates the H1 inside when renaming.
Workflow
Step 1: Discover candidates
See vault-context for vault discovery conventions.
- No args: query the live Base view —
obsidian base:query path=Meetings.base view=Inbox format=paths. Returns every file underMeetings/_inbox/(the.gitkeepis excluded automatically since it's not a.md). <path>arg: single-file mode — operate on that path.- If the candidate list is empty, print
Nothing to organize.and exit.
Step 2: Read memory for learned conventions
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.
- 11d ago First seen · 138 lines · 46 tokens per session scan A 88b8da51c781
organize-meetings is a skill published in the GitHub repository benoror/obsidianos_work (165 stars, last pushed 3mo ago), licensed MIT. It adds 46 tokens to every session and 1,908 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 2026-08-30.
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