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 Pika-Labs/Pika-Plugins --skill anime-soccergit clone --depth 1 https://github.com/Pika-Labs/Pika-PluginsWrote 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/pika-labs/pika-plugins/anime-soccer)<a href="https://agentmods.dev/skills/pika-labs/pika-plugins/anime-soccer"><img src="https://agentmods.dev/badge/skills/pika-labs/pika-plugins/anime-soccer/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/pika-labs/pika-plugins/anime-soccer"><img src="https://agentmods.dev/badge/skills/pika-labs/pika-plugins/anime-soccer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- 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 | $0.00171 | $0.03046 |
| Opus 5 | $0.00086 | $0.01523 |
| Sonnet 5 | $0.00034 | $0.00609 |
| Haiku 4.5 | $0.00017 | $0.00305 |
Grade A, and why
anime-soccer 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 — 132 lines — stays where its author put it; the contents beside it link to each section on GitHub.
anime-soccer
Turn the user into the hero of a 3-scene (~45s) Japanese-anime football short, but the star is the person running it. Each scene is a 15s cel-shaded anime beat with the user (named, in CAPS) and Japanese dialogue, generated on Seedance off an anime character sheet made from the user's photo, then stitched.
The proven pipeline (do not deviate from the order):
user photo → anime CHARACTER SHEET (nano-banana-pro) → DESIGN the dramatic match + WRITE 3×15s scene prompts (you, acting as Claude) → SEEDANCE each scene off the sheet → STITCH.
The magic is in three things, in this order: (1) a character sheet so the user's anime likeness is consistent across every scene, (2) a specific, dramatic match designed for them (their team vs the opponent, real kit colors, a concrete goal mechanic each scene — not a generic "he scores"), (3) the scene-prompt formula (cel-shaded style tag + named hero in CAPS + camera/anime techniques + Japanese VO).
Stage 0 — Intake
Collect, in one pass (the only things that change per user):
- The user's photo (required) — a clear face photo; this becomes the anime hero. Local path or URL. Likeness comes from this. Upload local files via
upload_asset→ use thepublic_url. (If on Claude Desktop where pasted images don't reach MCP, ask once for a URL or a.zip.) - On-screen hero name (optional) — what to call them in CAPS in the prompts + Japanese VO (e.g. "KAITO"). Default to their first name, or "THE STRIKER" if they'd rather not use a name.
- Their team (required) — the hero's side. Capture the kit colors / stripe pattern (e.g. "sky-blue and white vertical stripes"), NOT the crest or sponsor (describe colors, not trademarks — see de-branding in failure modes).
- The opponent (required) — who they're playing against. Capture the opponent's kit colors too. Opponent players (keeper, a defender) are generic — described by kit color, not named.
Confirm in one line ("Putting YOU in an anime match — [TEAM] vs [OPPONENT], you score the winner…"), then run the pipeline. No further yes/no gates.
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 · 132 lines · 171 tokens per session scan A 1812f4cbbef2
anime-soccer is a skill published in the GitHub repository Pika-Labs/Pika-Plugins (40 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 171 tokens to every session and 3,046 once invoked, about $0.0009 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 2026-08-30.
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