Borrowing it
Nothing to install: this file belongs to hristo2612/jinn. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/hristo2612/jinn/main/.claude/skills/showcase-video-capture/SKILL.mdgit clone --depth 1 https://github.com/hristo2612/jinnWrote 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/hristo2612/jinn/showcase-video-capture)<a href="https://agentmods.dev/skills/hristo2612/jinn/showcase-video-capture"><img src="https://agentmods.dev/badge/skills/hristo2612/jinn/showcase-video-capture/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/hristo2612/jinn/showcase-video-capture"><img src="https://agentmods.dev/badge/skills/hristo2612/jinn/showcase-video-capture.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, 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 Rogue Agent · line 3 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 | $0.00086 | $0.02623 |
| Opus 5 | $0.00043 | $0.01311 |
| Sonnet 5 | $0.00017 | $0.00525 |
| Haiku 4.5 | $0.00009 | $0.00262 |
Grade A, and why
showcase-video-capture 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 11d 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 — 267 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Showcase Video Capture
Use this skill to produce deterministic Jinn showcase media without touching a live operator instance. The goal is a short, readable product story: a believable org, visible work state, live chat streaming, and a clean final GIF/MP4 suitable for GitHub.
Core Rules
- Keep the live gateway safe. Do not use port
7777or the operator's real~/.jinnunless the user explicitly asks for live-instance work. - Prefer a mock gateway for README/demo captures. It is deterministic, fast, and avoids real engines, connectors, credentials, sessions, cron, and private data.
- Keep all committed fixtures generic. Do not commit personal paths, private project names, real customer data, tokens, or machine-specific paths.
- Stage only the intended media asset when replacing the README GIF. Leave capture scripts, raw videos, and scratch outputs untracked unless the user asks to keep them.
- Make the video feel like the product, not a landing page. Show the actual UI, real navigation, plausible session state, and a live streamed final answer.
Recommended Flow
-
Confirm the target asset and story.
- README asset is usually
assets/jinn-showcase.gif.
- README asset is usually
-
Create an isolated capture sandbox.
- Use a separate directory such as
/tmp/jinn-showcase-*or a repo-external scratch directory. - Use a non-live port such as
7788. - Verify the port is free before and after:
lsof -nP -iTCP:7788 -sTCP:LISTEN || true - Do not run against the live gateway unless the user specifically requests it.
- Use a separate directory such as
-
Build a mock gateway for deterministic captures.
- Serve the built web bundle from
packages/jinn/dist/web. - Implement just enough API surface for the UI path being captured.
- Provide mock WebSocket events for chat streaming.
- Add a manual trigger endpoint for the demo stream, for example
/api/showcase/start-demo, so navigation can happen first and the chat stream can be last.
- Serve the built web bundle from
-
Script the capture with Playwright.
- Use
@playwright/testfrom the repo if plainplaywrightis not installed. - Record at 1280x720 for MP4.
- Export GIF at 960x540, 12 fps, with a generated palette.
- Capture stills for visual QA at representative timestamps.
- Use
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.
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.
- 11d ago First seen · 267 lines · 86 tokens per session scan A 1fe0c29e8aeb
showcase-video-capture is a skill published in the GitHub repository hristo2612/jinn (315 stars, last pushed 4d ago), licensed MIT. It adds 86 tokens to every session and 2,623 once invoked, about $0.0004 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.
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