whatsapp-automation: Skill for Claude Code

.claude/skills/watch/SKILL.md

watch is a skill for Claude Code from sumioshi/whatsapp-automation. It costs 76 tokens per session (3,917 once invoked), scanned B, original, Apache-2.0.

A video-understanding workflow for a URL or local video file. It downloads the video, obtains captions or a transcript, and examines frames or uses a video model so an agent can answer questions about the footage.

In plain words
What is it for?
Use it to answer questions about what happens in a video, including where something occurs in time. It can use captions, extracted frames, local speech recognition, or a configured cloud video model.
Why use it?
It saves the developer from manually watching a video and searching for relevant moments. It also distinguishes spoken or captioned information from facts that require visual evidence.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: names the AskUserQuestion tool.

This is sumioshi/whatsapp-automation's own configuration. It tells Claude Code how to work on whatsapp-automation 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 whatsapp-automation configures →

Reuse

Borrowing it

Nothing to install: this file belongs to sumioshi/whatsapp-automation. 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/sumioshi/whatsapp-automation/main/.claude/skills/watch/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/sumioshi/whatsapp-automation

Made for: Claude Code.

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 watch

README.md
[![agentmods](https://agentmods.dev/badge/skills/sumioshi/whatsapp-automation/watch/github.svg)](https://agentmods.dev/skills/sumioshi/whatsapp-automation/watch)
Your own site
<a href="https://agentmods.dev/skills/sumioshi/whatsapp-automation/watch"><img src="https://agentmods.dev/badge/skills/sumioshi/whatsapp-automation/watch/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 watch

Your own site · 80×15
<a href="https://agentmods.dev/skills/sumioshi/whatsapp-automation/watch"><img src="https://agentmods.dev/badge/skills/sumioshi/whatsapp-automation/watch.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 76 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,917 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 1 finding. A grade says what 26 rules found in the file — not that it is safe.
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 $0.00076 $0.03917
Opus 5.5 $0.00030 $0.01567
Sonnet 5.5 $0.00015 $0.00783
Haiku 4.5 $0.00008 $0.00392

Measured 2d ago against content hash 04bfa3b0d124, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade B, and why

watch scanned grade B with 1 finding 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 2d ago.

The scan reads SKILL.md. This mod also ships 10 executable files (scripts/config.py, scripts/download.py, scripts/frames.py, …), 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.

Asks for rootmediumPrivilege escalation

A mod that escalates privileges can change anything on the machine, not only the project.

- `can_proceed` depends on base binaries for the local engine, not optional credentials. If it is false, run `setup.py` and confirm the binaries become available. macOS uses Homebrew; other systems get package commands.
.claude/skills/watch/SKILL.md · 169 lines

How it starts

The opening of the file, as written. The whole thing — 169 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/watch

Run the bundled Python script. With the gemini engine (a GEMINI_API_KEY is configured) Google's video model watches the video and the report carries its timestamped answer for you to relay. With the local engine the script produces timestamped frames and a transcript; view the frames and answer from that evidence. Native captions come first; the chosen local or cloud backend is only a fallback. Transcript-only evidence cannot establish visual facts.

Resolve the skill and interpreter

SKILL_DIR is the absolute directory containing this SKILL.md; scripts/ sits beside it.

Commands below use python3 for macOS/Linux. On Windows, verify a working Python 3.10+ with python --version or py -3 --version and use that interpreter. python3 is not always a Store alias; inspect the actual result. In PowerShell use $SKILL_DIR rather than Bash variable syntax, for example:

python "$SKILL_DIR/scripts/setup.py" --json

Use the host's available shell, image viewer, and question tool. AskUserQuestion and Bash are examples, not requirements for every host.

First run and setup

On the first invocation in a session:

python3 "${SKILL_DIR}/scripts/setup.py" --json
  • can_proceed depends on base binaries for the local engine, not optional credentials. If it is false, run setup.py and confirm the binaries become available. macOS uses Homebrew; other systems get package commands. Do not use sudo automatically. With the Gemini engine (engine is gemini, binaries_required false), missing ffmpeg/yt-dlp do not block YouTube URLs but are still needed for other URLs and for --engine local; mention missing_binaries only when that matters.
  • If first_run is false, proceed without announcing successful setup or asking preferences again. Existing installations without a backend setting retain auto (Groq key first, then OpenAI).
  • If first_run is true, ask the engine question first, then (local engine only) the two choices below it. The wizard does not inspect RAM, disk, CPU, browser sessions, or other machine state; the user decides from the stated requirements.

Read the full file on GitHub · 169 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. 2d ago First seen · 169 lines · 76 tokens per session scan B 04bfa3b0d124

Subscribe to this mod's changes

watch is a skill published in the GitHub repository sumioshi/whatsapp-automation (2 stars, last pushed 7d ago), licensed Apache-2.0. It adds 76 tokens to every session and 3,917 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it B with 1 finding (asks for root). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-11-12.

Related

watch compared with skills from other repositories

watch next to 6 skills from other repositories
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watchsumioshi/whatsapp-automationSkill27d agoApache-2.0B76Claude Code
quick-capturevscarpenter/gsd-task-managerSkill41todayMITA0Claude Code, Codex
triage-inboxvscarpenter/gsd-task-managerSkill41todayMITA0Claude Code, Codex
todoxbeydemirfurkan/todoxSkill24d agoMITA63Claude Code
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