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/cache-notes/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/cache-notes)<a href="https://agentmods.dev/skills/benoror/obsidianos_work/cache-notes"><img src="https://agentmods.dev/badge/skills/benoror/obsidianos_work/cache-notes/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/cache-notes"><img src="https://agentmods.dev/badge/skills/benoror/obsidianos_work/cache-notes.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 162 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 | $0.00034 | $0.02703 |
| Opus 5.5 | $0.00014 | $0.01081 |
| Sonnet 5.5 | $0.00007 | $0.00541 |
| Haiku 4.5 | $0.00003 | $0.00270 |
Grade A, and why
cache-notes 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.
How it starts
The opening of the file, as written. The whole thing — 190 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Cache Notes
Usage
/cache-notes all— Scan all meetings withNotes:links that haven't been cached yet, fetch and embed them./cache-notes <path>— Cache notes for a specific meeting file./cache-notes refresh <path>— Re-fetch and overwrite existing cached content for a file.
If the target file has an empty Notes: property (no URLs yet), run /mail-transcripts first when doing a full wrap (see meeting Mode C) — it may populate Notes: from the Gemini inbox mail. If still empty, prompt the user to paste the external resource URLs (Google Docs, Otter.ai, etc.). Add them to the Notes: frontmatter, then proceed with fetching and caching as normal.
How It Works
Supported external transcript providers are Google Docs (Gemini notes) and Otter.ai. When a URL from either provider appears in frontmatter Notes:, the agent fetches the transcript using that provider's instructions and embeds it as collapsible Obsidian callouts in the meeting note. A NotesCached: frontmatter timestamp marks the file as cached.
Frontmatter Convention
Before caching:
Notes:
- https://docs.google.com/document/d/{id}/edit?tab=t.{tab}
- https://otter.ai/u/{id}
After caching:
Notes:
- https://docs.google.com/document/d/{id}/edit?tab=t.{tab}
- https://otter.ai/u/{id}
NotesCached: 2026-02-25T15:00:00+00:00
Provider: Gemini (Google Docs)
Fetching
- Extract document ID from the Google Docs URL in
Notes:. - Run
gwsin the terminal to fetch the document (read-only). See google-workspace-cli for exact commands. - Prefer
gws docs documents getwithincludeTabsContent: trueand parse the JSON into text (optionally inserting--- TAB: … ---separators from tab titles), orgws drive files exportwithmimeType: text/plainfor a simpler single stream. Parsed content should mirror the old tab layout where needed:--- TAB: Notes ---,--- TAB: Transcript ---.
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 · 190 lines · 34 tokens per session scan A 3f5bd7bdb8a8
cache-notes is a skill published in the GitHub repository benoror/obsidianos_work (165 stars, last pushed 4mo ago), licensed MIT. It adds 34 tokens to every session and 2,703 once invoked, about $0.0001 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 2026-08-30.
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