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 broomva/skills --skill skills-showcasegit clone --depth 1 https://github.com/broomva/skillsWrote 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/broomva/skills/skills-showcase)<a href="https://agentmods.dev/skills/broomva/skills/skills-showcase"><img src="https://agentmods.dev/badge/skills/broomva/skills/skills-showcase/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/broomva/skills/skills-showcase"><img src="https://agentmods.dev/badge/skills/broomva/skills/skills-showcase.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00078 | $0.00828 |
| Opus 5 | $0.00039 | $0.00414 |
| Sonnet 5 | $0.00016 | $0.00166 |
| Haiku 4.5 | $0.00008 | $0.00083 |
Grade A, and why
skills-showcase 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 — 91 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skills Showcase
Render a category-by-category animated skills showcase video (1080x1080, 30fps, ~48s) and produce a 7-post X thread that maps skill clusters to concrete value.
Quick Start
cd skills-showcase
npm install
npx remotion studio # Preview in browser
npx remotion render SkillsShowcase out/skills-showcase.mp4
npx remotion render SkillsShowcase out/skills-showcase.gif --every-nth-frame=3
Output Artifacts
out/skills-showcase.mp4— Primary X upload (H.264, ~4.7 MB)out/skills-showcase.gif— Fallback/preview (~7 MB)thread.md— 7-post X thread copy
Architecture
src/
├── index.ts # registerRoot entry point
├── Root.tsx # Composition registry (1080x1080, 30fps, 1440 frames)
├── SkillsShowcase.tsx # Master timeline using <Series>
├── data/skills.ts # Typed dataset: categories, skills, derived aggregates
├── scenes/
│ ├── Intro.tsx # Title + subtitle + stats pills (4s)
│ ├── CategorySection.tsx # Category label + staggered skill chips (2.67s each)
│ └── Outro.tsx # Summary metric + tagline + CTA (4s)
└── components/
└── SkillChip.tsx # Reusable animated badge with spring entrance
Data Model
Edit src/data/skills.ts to add or remove skills. The video re-renders deterministically from this dataset.
- Category:
{ id, label, color, order } - Skill:
{ slug, categoryId, shortDescription } - Derived:
totalSkills,totalCategories,skillsByCategory
Animation Conventions
All animations use Remotion frame-driven patterns only:
useCurrentFrame()+useVideoConfig()for frame/fpsspring()for entrances (damping: 200 for smooth, damping: 20 + stiffness: 200 for snappy)interpolate()with clamp for opacity and translation- Zero CSS transitions or Tailwind animation utilities
Timeline Pacing
| Scene | Frames | Duration |
|---|---|---|
| Intro | 120 | 4.0s |
| 15 categories × 80 | 1200 | 40.0s |
| Outro | 120 | 4.0s |
| Total | 1440 | 48.0s |
What ships with it
15 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.
- out/skills-showcase.gif 1199 KB
- out/skills-showcase.mp4 4821 KB
- package-lock.json 113 KB
- package.json 433 B
- src/components/SkillChip.tsx 1.3 KB
- src/data/skills.ts 11 KB runs code
- src/index.ts 109 B runs code
- src/Root.tsx 357 B
- src/scenes/CategorySection.tsx 3.3 KB
- src/scenes/Intro.tsx 4.3 KB
- src/scenes/Outro.tsx 4.1 KB
- src/SkillsShowcase.tsx 1.1 KB
- thread-rocket.md 2.6 KB
- thread.md 2.7 KB
- tsconfig.json 329 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 First seen · 91 lines · 78 tokens per session scan A 52d925cd161f
skills-showcase is a skill published in the GitHub repository broomva/skills (3 stars, last pushed 2d ago), licensed MIT. It adds 78 tokens to every session and 828 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 2026-08-31.
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