obsidianos_work: Skill for Claude Code

.agents/skills/otter-fetch/SKILL.md

otter-fetch is a skill for Claude Code, Codex from benoror/obsidianos_work. It costs 32 tokens per session (743 once invoked), scanned A, original, MIT.

A helper for getting transcript data from Otter.ai, a service that records and transcribes meetings. Other note-management skills use it when a meeting note contains an Otter.ai link.

In plain words
What is it for?
It supports caching meeting transcripts in notes and finding speaker names when participant details are missing.
Why use it?
It avoids manually finding and interpreting transcript data when meeting notes only include an Otter.ai URL. The transcript JSON must be copied from a signed-in browser because Otter.ai has no public API.

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/otter-fetch/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 otter-fetch

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/benoror/obsidianos_work/otter-fetch"><img src="https://agentmods.dev/badge/skills/benoror/obsidianos_work/otter-fetch.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 32 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 743 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 pass 7 Sept 2026
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 $0.00032 $0.00743
Opus 5 $0.00016 $0.00371
Sonnet 5 $0.00006 $0.00149
Haiku 4.5 $0.00003 $0.00074

Measured 10d ago against content hash e0d6f23bee27, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

otter-fetch 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 10d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (parse_otter.js), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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/otter-fetch/SKILL.md · 53 lines

How it starts

The opening of the file, as written. The whole thing — 53 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Otter Fetch

Single place for obtaining Otter.ai transcript data. No direct slash command — other skills invoke this when they encounter an Otter.ai URL (e.g. in Notes: frontmatter).

Usage

This skill has no slash command. It's a sub-skill: /cache-notes and /fill-participants invoke its workflow (and run parse_otter.js) when a meeting's Notes: contains an https://otter.ai/u/... URL.

When to use

  • cache-notes: When caching a meeting that has https://otter.ai/u/{otid} in Notes: — need callout markdown to embed.
  • fill-participants: When resolving participants for a meeting that only has Otter links (no Google Doc) — need speaker names from the transcript.

How to get the data

Otter has no public API. Use user-pasted JSON:

  1. Extract otid from the URL: https://otter.ai/u/aBcDeFgHiJkLmNoPqRsTotid = aBcDeFgHiJkLmNoPqRsT.
  2. Ask the user to copy the JSON response from GET https://otter.ai/forward/api/v1/speech?otid={otid} (e.g. from DevTools → Network while signed in, or from a signed-in request).
  3. User pastes the JSON; the agent (or script) parses it.

Outputs (same JSON, different consumers)

The pasted JSON has speech with:

Use case What to use How
cache-notes Callout markdown Run parse_otter.js with JSON on stdin → stdout is ## 🤖 AI Notes / ### Otter block with [!otter_notes]-, [!otter_todos]-, [!otter_transcript]-.
fill-participants Speaker names From speech.speakers: array of { speaker_name }. Use those names with people-resolver to build Participants:.

So one paste can serve both skills if needed (e.g. cache-notes runs the script; fill-participants reads speech.speakers from the same JSON or from the cached transcript callout).

Script: parse_otter.js

In this folder: parse_otter.js reads the full Otter speech JSON from stdin and writes callout markdown to stdout (for cache-notes).

Read the full file on GitHub · 53 lines

Files

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.

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. 10d ago First seen · 53 lines · 32 tokens per session scan A e0d6f23bee27

Subscribe to this mod's changes

otter-fetch is a skill published in the GitHub repository benoror/obsidianos_work (165 stars, last pushed 3mo ago), licensed MIT. It adds 32 tokens to every session and 743 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.