obsidianos_work: Skill for Claude Code

.agents/skills/cache-notes/SKILL.md

cache-notes is a skill for Claude Code, Codex from benoror/obsidianos_work. It costs 34 tokens per session (2,703 once invoked), scanned A, original, MIT.

A meeting-note helper that fetches transcripts from Google Docs or Otter.ai and places them inside collapsible sections in Obsidian notes. Obsidian is a note-taking app that stores plain-text files.

In plain words
What is it for?
Use it to cache transcripts for one meeting note or scan all meeting notes that contain transcript links. If no links are present, it can ask you to provide them.
Why use it?
It removes the need to copy meeting transcripts into notes by hand and records when a transcript was cached. It can also re-fetch an existing cached transcript.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

This is benoror/obsidianos_work's own configuration. It tells Claude Code and Codex how to work on obsidianos_work itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything obsidianos_work configures →

Reuse

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.

Copy the file
curl -O https://raw.githubusercontent.com/benoror/obsidianos_work/main/.agents/skills/cache-notes/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/benoror/obsidianos_work

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for cache-notes

README.md
[![agentmods](https://agentmods.dev/badge/skills/benoror/obsidianos_work/cache-notes/github.svg)](https://agentmods.dev/skills/benoror/obsidianos_work/cache-notes)
Your own site
<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.

agentmods 80×15 button for cache-notes

Your own site · 80×15
<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>
Per session 34 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,703 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
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.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce 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

Measured 1mo ago against content hash 3f5bd7bdb8a8, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

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.

.agents/skills/cache-notes/SKILL.md · 190 lines

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 with Notes: 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

  1. Extract document ID from the Google Docs URL in Notes:.
  2. Run gws in the terminal to fetch the document (read-only). See google-workspace-cli for exact commands.
  3. Prefer gws docs documents get with includeTabsContent: true and parse the JSON into text (optionally inserting --- TAB: … --- separators from tab titles), or gws drive files export with mimeType: text/plain for a simpler single stream. Parsed content should mirror the old tab layout where needed: --- TAB: Notes ---, --- TAB: Transcript ---.

Read the full file on GitHub · 190 lines

Changes

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.

  1. 1mo ago First seen · 190 lines · 34 tokens per session scan A 3f5bd7bdb8a8

Subscribe to this mod's changes

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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