Claude Video is an agent add-on that lets Claude analyze videos by obtaining captions, downloading media, extracting frames, and producing timestamped transcripts. It is used to answer questions about online or local videos, including their visual content, audio, structure, and opening moments. Catalogue add-ons provide the commands, hooks, instructions, and skill that enable this workflow.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add bradautomates/claude-video --skill watchgit clone --depth 1 https://github.com/bradautomates/claude-videoWrote 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/bradautomates/claude-video/watch)<a href="https://agentmods.dev/skills/bradautomates/claude-video/watch"><img src="https://agentmods.dev/badge/skills/bradautomates/claude-video/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.
<a href="https://agentmods.dev/skills/bradautomates/claude-video/watch"><img src="https://agentmods.dev/badge/skills/bradautomates/claude-video/watch.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk fail
- NVIDIA SkillSpector warn
SkillSpector: 6 findings, 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 Agent Snooping · line 23 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
- medium Agent Snooping · line 24 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
- medium Agent Snooping · line 25 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
- medium Rogue Agent · line 54 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
- medium Rogue Agent · line 86 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
- medium Rogue Agent · line 234 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
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 | $0.00054 | $0.05405 |
| Opus 5 | $0.00027 | $0.02703 |
| Sonnet 5 | $0.00011 | $0.01081 |
| Haiku 4.5 | $0.00005 | $0.00541 |
Grade C, and why
watch scanned grade C 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 9d 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.
Recursive force deletehighDestructive command
rm -rf with a variable or a broad path is one typo away from removing the wrong tree.
**Step 5 — clean up.** The script prints a working directory at the end. If the user isn't going to ask follow-ups about this video, delete it with `rm -rf <dir>`. If they might, leave it in place. How it starts
The opening of the file, as written. The whole thing — 269 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/watch
You don't have a video input; this skill gives you one. A Python script gets captions first, optionally downloads the video, extracts frames as JPEGs (scene-aware, or fast keyframes at efficient detail), gets a timestamped transcript (native captions first, then Whisper API as fallback), and prints frame paths. You then Read each frame path to see the images and combine them with the transcript to answer the user.
Resolve SKILL_DIR (do this before any command)
Every python3 ... command below runs a bundled script under SKILL_DIR/scripts/. Set SKILL_DIR to the absolute path of the directory containing THIS SKILL.md you just Read — your harness told you that path in the Read result. The scripts are always a direct sibling of this file (SKILL_DIR/scripts/watch.py), in every install layout:
Read ~/.claude/plugins/cache/claude-video/watch/<ver>/skills/watch/SKILL.md → SKILL_DIR=…/skills/watch
Read ~/.codex/skills/watch/SKILL.md → SKILL_DIR=~/.codex/skills/watch
Read ~/.agents/skills/watch/SKILL.md → SKILL_DIR=~/.agents/skills/watch
Substitute that literal path for ${SKILL_DIR} in every command. This works on every harness (Claude Code, Codex, Cursor, Gemini CLI, …) without relying on any harness-specific environment variable. Guard once at the start of a run:
SKILL_DIR="<absolute path of the directory containing the SKILL.md you Read>"
if [ ! -f "$SKILL_DIR/scripts/watch.py" ]; then
echo "ERROR: scripts/watch.py not found under SKILL_DIR=$SKILL_DIR" >&2
echo "Re-check the directory of the SKILL.md you Read and substitute it as SKILL_DIR." >&2
exit 1
fi
Step 0 — Setup preflight (runs every /watch invocation, silent on success)
Python interpreter: every python3 ... command in this skill is for macOS/Linux. On Windows, substitute python — the python3 command on Windows is the Microsoft Store stub and will not run the script.
What ships with it
9 files 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.
- .skillignore 168 B
- scripts/build-skill.sh 1.4 KB runs code
- scripts/config.py 2.1 KB runs code
- scripts/download.py 5.3 KB runs code
- scripts/frames.py 26 KB runs code
- scripts/setup.py 12 KB runs code
- scripts/transcribe.py 2.8 KB runs code
- scripts/watch.py 16 KB runs code
- scripts/whisper.py 17 KB runs code
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.
- 9d ago First seen · 269 lines · 54 tokens per session scan C 10dc8e56699e
watch is a skill published in the GitHub repository bradautomates/claude-video (16,928 stars, last pushed 2mo ago), licensed MIT. It adds 54 tokens to every session and 5,405 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it C with 1 finding (recursive force delete). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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