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 agentmods add skills/danielrosehill/claude-video-editor-plugin/agentic-editnpx skills add danielrosehill/Claude-Video-Editor-Plugin --skill agentic-editgit clone --depth 1 https://github.com/danielrosehill/Claude-Video-Editor-PluginWrote 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/danielrosehill/claude-video-editor-plugin/agentic-edit)<a href="https://agentmods.dev/skills/danielrosehill/claude-video-editor-plugin/agentic-edit"><img src="https://agentmods.dev/badge/skills/danielrosehill/claude-video-editor-plugin/agentic-edit.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00111 | $0.01416 |
| Opus 5 | $0.00056 | $0.00708 |
| Sonnet 5 | $0.00022 | $0.00283 |
| Haiku 4.5 | $0.00011 | $0.00142 |
Grade A, and why
agentic-edit scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 124 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agentic Edit
Drive an LLM-based agent over a long video to produce a shorter cut. The agent watches the video (or samples it), proposes timestamped segments worth keeping, and emits a cut-list. The skill optionally renders the cut.
Procedure
1. Resolve backend
Two backends, picked by user preference (or by what's installed):
| Backend | Best for | Source |
|---|---|---|
video-use |
conversational queries over a video, fast iteration | pip install git+https://github.com/browser-use/video-use |
VideoAgent |
research-grade multi-agent reasoning over long video | git clone https://github.com/HKUDS/VideoAgent |
DATA_DIR="${CLAUDE_USER_DATA:-${XDG_DATA_HOME:-$HOME/.local/share}/claude-plugins}/video-editing"
PREFS="$DATA_DIR/preferences.json"
VENV=$(jq -r '.python_venv // empty' "$PREFS" 2>/dev/null)
PYBIN="$VENV/bin/python"
test -x "$PYBIN" || { echo "No plugin venv. Run deps-setup first."; exit 1; }
# default backend = video-use if installed
if "$PYBIN" -c 'import video_use' 2>/dev/null; then
BACKEND="video-use"
elif [ -d "$DATA_DIR/tools/VideoAgent" ]; then
BACKEND="VideoAgent"
else
echo "Neither video-use nor VideoAgent is installed. Run deps-setup."; exit 1
fi
2. Inputs
| Field | Default |
|---|---|
| Source video | required |
| Goal / prompt | required ("60-second highlight reel", "remove the audience-Q&A sections", etc.) |
| Target duration | optional — only used as a hint to the agent |
| Mode | cut-list-only (default) or cut-list-and-render |
| Backend | auto (preferences.preferred_video_agent_backend) |
3. Drive the backend
3a. video-use — uses its own conversational loop. Send the prompt + video path; capture the structured cut list.
"$PYBIN" - <<PY
from video_use import VideoAgent # API may differ — check installed version
agent = VideoAgent(video_path="$SRC")
result = agent.ask("$GOAL — return JSON list of {start, end, reason}")
import json; print(json.dumps(result, indent=2))
PY
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.
- 5d ago First seen · 124 lines · 111 tokens per session scan A 2d1e0842e86d
agentic-edit is a skill published in the GitHub repository danielrosehill/Claude-Video-Editor-Plugin (5 stars, last pushed 4mo ago), licensed MIT. It adds 111 tokens to every session and 1,416 once invoked, about $0.0006 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 2026-08-31.
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