Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/HybridAIOne/hybridclawnpx agentmods add skills/hybridaione/hybridclaw/manim-videoWrote 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/hybridaione/hybridclaw/manim-video)<a href="https://agentmods.dev/skills/hybridaione/hybridclaw/manim-video"><img src="https://agentmods.dev/badge/skills/hybridaione/hybridclaw/manim-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/hybridaione/hybridclaw/manim-video"><img src="https://agentmods.dev/badge/skills/hybridaione/hybridclaw/manim-video.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 3 findings, 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 Privilege Escalation · line 212 Commands invoke sudo or root privileges. Verify this elevated access is necessary and justified.Fix: Avoid sudo/root unless strictly required. Prefer least-privilege patterns. If elevation is needed, document the justification and scope.
- medium Privilege Escalation · line 247 Commands invoke sudo or root privileges. Verify this elevated access is necessary and justified.Fix: Avoid sudo/root unless strictly required. Prefer least-privilege patterns. If elevation is needed, document the justification and scope.
- medium Privilege Escalation · line 248 Commands invoke sudo or root privileges. Verify this elevated access is necessary and justified.Fix: Avoid sudo/root unless strictly required. Prefer least-privilege patterns. If elevation is needed, document the justification and scope.
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 | $0.00058 | $0.04496 |
| Opus 5 | $0.00029 | $0.02248 |
| Sonnet 5 | $0.00012 | $0.00899 |
| Haiku 4.5 | $0.00006 | $0.00450 |
Grade B, and why
manim-video scanned grade B with 1 finding 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 12d 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.
Asks for rootmediumPrivilege escalation
A mod that escalates privileges can change anything on the machine, not only the project.
- If `pdflatex` is unavailable, avoid `MathTex` and `Tex` until LaTeX is installed; use `Text` placeholders instead. Fast package hints: macOS `brew install --cask mactex-no-gui`, Debian/Ubuntu `sudo apt install texlive- How it starts
The opening of the file, as written. The whole thing — 312 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Manim Video
Use this skill for Python-based Manim projects that need a clean planning phase, strong visual direction, reusable scene structure, and a deterministic render pipeline.
The output contract is usually a workspace project directory containing plan.md, script.py, concat.txt, draft renders, and optionally a stitched final.mp4.
Creative Standard
This is educational cinema, not animated slides.
- Make it beautiful and professional. The draft should feel intentional, polished, and presentation-ready, not like a rough internal diagram dump.
- Before writing code, define the narrative arc: confusion -> visual hook -> mechanism -> payoff -> recap.
- Geometry before algebra. Show the shape, motion, system flow, or data change before the formal equation.
- Every scene teaches one dominant idea. If a scene has two unrelated claims, split it.
- Direct attention with opacity layering: primary elements at 1.0, contextual elements around 0.35-0.45, and structural elements like axes or grids around 0.12-0.2.
- Give reveals breathing room. Add
self.wait()after every important animation and make the main aha moment the longest pause. - Keep one cohesive visual language across the whole project: shared palette, shared timing constants, shared font rules, and stable concept-color meaning.
- Avoid repetitive scenes. Vary dominant color, layout, and entry animation across scenes while keeping the overall palette consistent.
- First-render quality matters. If the layout is cluttered, the typography is inconsistent, or the pacing feels rushed, the scene is not done.
Modes
| Mode | Input | Output | Primary references |
|---|---|---|---|
| Concept explainer | topic or feature | intuitive multi-scene explainer | scene-planning.md, visual-design.md |
| Equation derivation | symbolic expression or proof goal | stepwise animated derivation | equations.md, python-patterns.md |
| Algorithm visualization | algorithm or invariant | stepwise state evolution | graphs-and-data.md, python-patterns.md |
| Data story | metrics, counters, or comparisons | animated charts and deltas | graphs-and-data.md, visual-design.md |
| Architecture diagram | system or service flow | progressive build with data flow | scene-planning.md, python-patterns.md |
| Paper explainer | paper, abstract, or finding | hook -> method -> evidence explainer | scene-planning.md, visual-design.md |
| Camera or 3D explainer | spatial or geometric topic | moving-camera or 3D scene set | camera-and-3d.md, visual-design.md |
What ships with it
13 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.
- agents/openai.yaml 210 B
- README.md 883 B
- references/camera-and-3d.md 1.9 KB
- references/equations.md 2.0 KB
- references/graphs-and-data.md 2.0 KB
- references/production-quality.md 3.4 KB
- references/python-patterns.md 5.9 KB
- references/rendering.md 6.1 KB
- references/scene-planning.md 4.1 KB
- references/troubleshooting.md 1.6 KB
- references/updaters-and-trackers.md 2.2 KB
- references/visual-design.md 4.9 KB
- scripts/check_setup.py 5.8 KB runs code
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.
- 12d ago First seen · 312 lines · 58 tokens per session scan B 1fe01e23e8b0
manim-video is a skill published in the GitHub repository HybridAIOne/hybridclaw (132 stars, last pushed yesterday), licensed MIT. It adds 58 tokens to every session and 4,496 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it B with 1 finding (asks for root). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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