Borrowing it
Nothing to install: this file belongs to abhinavshrivastava950/Montara. 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/abhinavshrivastava950/Montara/main/.agents/skills/manimce-best-practices/SKILL.mdgit clone --depth 1 https://github.com/abhinavshrivastava950/MontaraWrote 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/abhinavshrivastava950/montara/manimce-best-practices)<a href="https://agentmods.dev/skills/abhinavshrivastava950/montara/manimce-best-practices"><img src="https://agentmods.dev/badge/skills/abhinavshrivastava950/montara/manimce-best-practices/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/abhinavshrivastava950/montara/manimce-best-practices"><img src="https://agentmods.dev/badge/skills/abhinavshrivastava950/montara/manimce-best-practices.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 | $0.00149 | $0.01567 |
| Opus 5.5 | $0.00060 | $0.00627 |
| Sonnet 5.5 | $0.00030 | $0.00313 |
| Haiku 4.5 | $0.00015 | $0.00157 |
Grade A, and why
manimce-best-practices 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 2mo 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.
The source is not reproduced here
Licensed AGPL-3.0
The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
What ships with it
35 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.
- examples/3d_visualization.py 9.8 KB runs code
- examples/attention/__init__.py 75 B runs code
- examples/attention/helpers.py 14 KB runs code
- examples/attention/scenes.py 26 KB runs code
- examples/basic_animations.py 5.7 KB runs code
- examples/graph_plotting.py 10 KB runs code
- examples/lorenz_attractor.py 4.9 KB runs code
- examples/math_visualization.py 8.4 KB runs code
- examples/updater_patterns.py 9.8 KB runs code
- rules/3d.md 5.9 KB
- rules/animation-groups.md 5.1 KB
- rules/animations.md 3.0 KB
- rules/axes.md 4.7 KB
- rules/camera.md 4.8 KB
- rules/cli.md 4.0 KB
- rules/colors.md 4.8 KB
- rules/config.md 4.4 KB
- rules/creation-animations.md 3.2 KB
- rules/graphing.md 5.3 KB
- rules/grouping.md 4.6 KB
- rules/latex.md 4.3 KB
- rules/lines.md 4.8 KB
- rules/mobjects.md 2.8 KB
- rules/positioning.md 4.8 KB
- rules/scenes.md 2.3 KB
- rules/shapes.md 6.0 KB
- rules/styling.md 4.2 KB
- rules/text-animations.md 4.9 KB
- rules/text.md 3.9 KB
- rules/timing.md 4.0 KB
- rules/transform-animations.md 3.9 KB
- rules/updaters.md 5.2 KB
- templates/basic_scene.py 1.6 KB runs code
- templates/camera_scene.py 2.9 KB runs code
- templates/threed_scene.py 4.0 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.
- 2mo ago First seen · 152 lines · 149 tokens per session scan A ae09751ec9e3
manimce-best-practices is a skill published in the GitHub repository abhinavshrivastava950/Montara (22 stars, last pushed 1mo ago), licensed AGPL-3.0. It adds 149 tokens to every session and 1,567 once invoked, about $0.0006 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.
manimce-best-practices compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| manimce-best-practicesabhinavshrivastava950/Montara | Skill | 22 | 1mo ago | AGPL-3.0 | A | 149 | Claude Code, Codex |
| instrument-data-to-allotropeanthropics/knowledge-work-plugins | Skill | 35k | 2d ago | Apache-2.0 | A | 123 | Claude Code |
| exploratory-data-analysisK-Dense-AI/scientific-agent-skills | Skill | 56k | 4d ago | MIT | A | 83 | Claude Code |
| matlabK-Dense-AI/scientific-agent-skills | Skill | 56k | 4d ago | MIT | A | 44 | Claude Code |
| phylogeneticsK-Dense-AI/scientific-agent-skills | Skill | 56k | 4d ago | MIT | A | 71 | Claude Code, Codex |
| research-engineerdavila7/claude-code-templates | Skill | 33k | yesterday | MIT | A | 43 | Claude Code, Codex |
| mapping-to-snomedmaziyarpanahi/openmed | Skill | 5.8k | yesterday | Apache-2.0 | A | 205 | Claude Code |