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 suxrobGM/jobpilot --skill teaser-videogit clone --depth 1 https://github.com/suxrobGM/jobpilotWrote 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/suxrobgm/jobpilot/teaser-video)<a href="https://agentmods.dev/skills/suxrobgm/jobpilot/teaser-video"><img src="https://agentmods.dev/badge/skills/suxrobgm/jobpilot/teaser-video/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/suxrobgm/jobpilot/teaser-video"><img src="https://agentmods.dev/badge/skills/suxrobgm/jobpilot/teaser-video.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00094 | $0.02368 |
| Opus 5.5 | $0.00038 | $0.00947 |
| Sonnet 5.5 | $0.00019 | $0.00474 |
| Haiku 4.5 | $0.00009 | $0.00237 |
Grade A, and why
teaser-video scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 170 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Teaser video
A ~40s teaser that looks like a product film, not a screen recording. The difference is direction: one story, real proof, a camera that moves with intent, graphics that explain cause and effect, and sound cut to a beat.
Pipeline: capture real footage (Playwright drives, CDP films at 2x) → edit in Remotion (React components rendered frame by frame) → review every frame for PII → deliver MP4 + poster + README GIF.
Work in a scratch directory, never in the project:
cp -r <skill>/reference/capture "$SCRATCH/film" && (cd "$SCRATCH/film" && npm install)
cp -r <skill>/reference/edit "$SCRATCH/edit" && (cd "$SCRATCH/edit" && npm install && npm run synth && npm run still)
export TEASER_BASE_URL="https://the-app.example.com"
export TEASER_LOCAL_STORAGE='{"some:ui-pref":"value"}' # optional UI state to pin
npm run still renders the starter Teaser.tsx (no clips needed), proving the
toolchain works before any filming. Keep every remotion / @remotion/*
package on the same version; mismatches fail at render time.
The two hard rules
1. Real side effects need explicit, itemized consent. Filming a real app clicks real buttons: applications get submitted, emails sent, accounts touched. Agree the scope with the user before rolling. Answer the app's own prompts only within that scope; anything that creates accounts, picks a sign-in method, or answers personal questions (tax, demographics) stays parked for the user. Before stopping a long-running process, let the in-flight unit of work finish instead of cutting it mid-way. Report every outcome, including failures and anything the product did on its own (password resets, etc.).
2. Every frame is public. Agree what may show (e.g. name + email) and treat everything else as private: phone numbers, other people's names (chat bubbles), security answers, tokens. Hide by framing, by masking in the edit, or by not filming that part of the page. Dashboards can quote secrets verbatim (a "failure reasons" list once showed a security-question answer) - read every captured screen, not just the part you meant to film.
What ships with it
21 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.
- reference/capture/cam.js 7.9 KB runs code
- reference/capture/live.js 4.6 KB runs code
- reference/capture/login.js 1.2 KB runs code
- reference/capture/package.json 306 B
- reference/edit/audio/synth.mjs 14 KB runs code
- reference/edit/package.json 780 B
- reference/edit/remotion.config.ts 137 B runs code
- reference/edit/src/components/Background.tsx 1.7 KB
- reference/edit/src/components/Caption.tsx 1.8 KB
- reference/edit/src/components/FormStack.tsx 5.2 KB
- reference/edit/src/components/Kinetic.tsx 3.9 KB
- reference/edit/src/components/Logo.tsx 2.8 KB
- reference/edit/src/components/Overlays.tsx 6.2 KB
- reference/edit/src/components/Shot.tsx 4.9 KB
- reference/edit/src/components/Sound.tsx 1.0 KB
- reference/edit/src/index.ts 93 B runs code
- reference/edit/src/Root.tsx 381 B
- reference/edit/src/Teaser.tsx 1.6 KB
- reference/edit/src/theme.ts 2.0 KB runs code
- reference/edit/storyboard.json 289 B
- reference/edit/tsconfig.json 263 B
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.
- 10d ago Changed · -21 lines · +21 tokens per session d3d1a18ad3db
- 1mo ago First seen · 191 lines · 73 tokens per session scan A f1ba32e1d88f
teaser-video is a skill published in the GitHub repository suxrobGM/jobpilot (94 stars, last pushed 9d ago), licensed MIT. It adds 94 tokens to every session and 2,368 once invoked, about $0.0004 per session on Opus 5.5. 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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