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 dbillion/manim-storytelling-skills --skill manim-dsa-explainergit clone --depth 1 https://github.com/dbillion/manim-storytelling-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/dbillion/manim-storytelling-skills/manim-dsa-explainer)<a href="https://agentmods.dev/skills/dbillion/manim-storytelling-skills/manim-dsa-explainer"><img src="https://agentmods.dev/badge/skills/dbillion/manim-storytelling-skills/manim-dsa-explainer/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/dbillion/manim-storytelling-skills/manim-dsa-explainer"><img src="https://agentmods.dev/badge/skills/dbillion/manim-storytelling-skills/manim-dsa-explainer.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 | $0.00135 | $0.02749 |
| Opus 5 | $0.00068 | $0.01375 |
| Sonnet 5 | $0.00027 | $0.00550 |
| Haiku 4.5 | $0.00014 | $0.00275 |
Grade A, and why
manim-dsa-explainer 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 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.
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 — 208 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Manim DSA Explainer (single-path + comparison, unified)
Relationship to the other skill
Read manim-explainer-animations/SKILL.md and its references/ first -- it owns
the mobject/animation API surface (mobjects, animations, camera, plotting, text,
advanced techniques). This skill owns the narrative shape for DSA content
specifically: which of the two formats to use, the 3D-solid vocabulary, the
technique-selection grammar, camera/angle presets, and the mandatory
verified-by-test closing beat.
Step 0 -- pick the format
- Comparison (5 acts): use when a genuine brute-force baseline exists AND the complexity gap is real and instructive (e.g. two-sum brute O(n^2) vs hash-set O(n), LIS O(n^2) vs O(n log n)).
- Single-path (4 acts): use for everything else -- sorts, traversals, searches, tree/graph operations, single-pass or single-table DP, data structure mechanics, bit tricks. This is the default; most of a DSA catalog has no real brute/optimized pair, so don't force one.
Both formats close with the same Act 6: verified by test (below) -- that part is not optional and does not vary by format.
Comparison format -- 5 acts (~45-90s)
- Cold open -- state the problem as a shape in 3D space, no numbers yet.
- Brute force -- animate an exhaustive particle sweep (nested loops felt as many particle-trips, not a caption saying "O(n^2)").
- The insight -- one beat naming the single fact the optimized version exploits. Give it a full breath.
- Optimized -- same 3D space, same camera/axes as act 1, short direct path.
- Payoff -- 2D complexity graph, both curves plotted from the true Big-O (Axes.plot, not eyeballed shapes), optimized curve visibly separating.
Single-path format -- 4 acts (~30-50s)
- Cold open -- build the data structure/space with the matching solid before any code appears.
- The walkthrough -- real source in a
Codemobject with a syncedSurroundingRectanglehighlight tracking the active line, while a particle/marker performs the algorithm in the 3D structure. Largest act. - The key property -- why this approach works (loop invariant, structural guarantee, base case). Real breath (Write + wait), not skipped just because there's no brute-force to contrast against.
- Payoff -- final state held (sorted array, traced path, returned value). Optional fixed-in-frame complexity caption.
What ships with it
6 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.
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 · 208 lines · 135 tokens per session scan A 73087a77f459
manim-dsa-explainer is a skill published in the GitHub repository dbillion/manim-storytelling-skills (2 stars, last pushed 1mo ago), licensed MIT. It adds 135 tokens to every session and 2,749 once invoked, about $0.0007 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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