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/proxy2021/enso/video_highlight_pipelinenpx skills add Proxy2021/Enso --skill video_highlight_pipelinegit clone --depth 1 https://github.com/Proxy2021/EnsoWrote 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/proxy2021/enso/video_highlight_pipeline)<a href="https://agentmods.dev/skills/proxy2021/enso/video_highlight_pipeline"><img src="https://agentmods.dev/badge/skills/proxy2021/enso/video_highlight_pipeline.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 | $0.00027 | $0.00713 |
| Opus 5 | $0.00014 | $0.00357 |
| Sonnet 5 | $0.00005 | $0.00143 |
| Haiku 4.5 | $0.00003 | $0.00071 |
Grade A, and why
video_highlight_pipeline 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 4d 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 — 63 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Video Highlight Pipeline
Video highlight studio for scene detection, best-frame extraction, scoring, and highlight reel assembly from event/wedding videos
Available Tools
enso_video_highlight_pipeline_analyze_video (primary)
Analyze a video file: probe metadata and detect scene change boundaries. Use when: 'analyze this video', 'detect scenes', 'inspect video', 'what's in this video'.
Parameters:
path(string): Path to the video filethreshold(number): Scene detection sensitivity (0.0-1.0, lower = more sensitive, default: 0.3)
enso_video_highlight_pipeline_extract_frames
Extract the N best still frames from the video based on scene boundaries and a scoring strategy (sharpness, face-priority, or balanced).
Parameters:
path(string): Path to the video fileframeCount(number): Number of best frames to extract (default: 20)scoringStrategy(string): Scoring strategy: sharpness, face-priority, or balanced (default: balanced)outputDir(string): Output directory for extracted frames (default: auto)
enso_video_highlight_pipeline_preview_frames
Display extracted frames as a gallery with quality scores and timestamps for review. Allows approve/reject toggling before highlight reel generation.
Parameters:
path(string): Path to the video file (used to load stored frame data)outputDir(string): Directory containing extracted framessortBy(string): Sort frames by: score, timestamp, or rank (default: rank)
enso_video_highlight_pipeline_generate_highlight_reel
Assemble a highlight reel video from approved frames/clips with configurable duration, transition style, and audio handling.
Parameters:
path(string): Path to the source video fileduration(number): Target reel duration in seconds (default: 60)clipDuration(number): Duration of each clip segment in seconds (default: 4.5)transitionStyle(string): Transition style: dissolve, fadewhite, smoothleft, mixed (default: mixed)outputDir(string): Output directory for the highlight reel
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.
- 4d ago First seen · 63 lines · 27 tokens per session scan A cefdb918482f
video_highlight_pipeline is a skill published in the GitHub repository Proxy2021/Enso (5 stars, last pushed 3mo ago), licensed MIT. It adds 27 tokens to every session and 713 once invoked, about $0.0001 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.
Other skills, from other repositories
speckit-specify
Create or update the feature specification from a natural language feature description.
speckit-analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
add-sample
Create a SamplesApp sample page with correct theming and attributes. Use when adding UI samples for controls.
speckit-taskstoissues
Convert existing tasks into actionable, dependency-ordered GitHub issues for the feature based on available design artifacts.
speckit-git-remote
Detect Git remote URL for GitHub integration.
review-agents-md
Audit Dograh AGENTS.md files for drift against the live repo and for bad scope boundaries between parent and child docs. Use when the user asks to review existing AGENTS files, identify stale guidance, decide whether a subtree needs its own AGENTS.md, or update the AGENTS.md hierarchy under the repo root, api/, or ui/.