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 stagefightgit 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/stagefight)<a href="https://agentmods.dev/skills/pika-labs/pika-plugins/stagefight"><img src="https://agentmods.dev/badge/skills/pika-labs/pika-plugins/stagefight/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/stagefight"><img src="https://agentmods.dev/badge/skills/pika-labs/pika-plugins/stagefight.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk fail
- 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 | $0.00165 | $0.03137 |
| Opus 5 | $0.00082 | $0.01569 |
| Sonnet 5 | $0.00033 | $0.00627 |
| Haiku 4.5 | $0.00016 | $0.00314 |
Grade A, and why
stagefight 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 9d 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 — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.
stagefight
A two-call pika pipeline: stage still (generate_image, gpt-image-2) → fight clip (generate_video, image-to-video, ~10s, 16:9). The clip is fan-filmed POV phone footage of a choreographed cosplay performance on a themed stage — two performers clash, a live-stage effect bursts, the crowd reacts. One run produces one clip for one matchup.
The core job of this skill: figure out WHO is fighting (ask the user, or suggest matchups), then AUTHOR fresh prompts in the structure of the bundled examples and generate a new video. The examples in examples/ are the pattern to follow, not a fixed catalog — every run should produce a new matchup composed the same way. The look is calibrated and the safety framing is load-bearing: keep every fixed sentence of the two templates and fill only the marked [SLOTS].
★ Why it works — the method (this is the actual research, do not drop any of it)
Raw "two people fighting" prompts get moderation-blocked. These four moves are what make fight content reliably generate, and together they ARE the trend's aesthetic:
- Frame it as a wholesome theatrical performance. Every clip prompt opens, verbatim: "Wholesome theatrical stage performance, choreographed cosplay, advertiser-safe." and closes with "Believable live-stage effects, not cartoon magic." This reframes combat as a stunt show, which clears the safety pass. Never describe injury, blood, real weapons connecting, or "cartoon magic" — describe choreography, props, and stage pyrotechnics.
- Fan-filmed audience POV. "POV handheld phone footage from the audience, raised above other people's heads filming the stage," with "a large audience in the foreground — dark silhouetted heads, many holding up phones recording." This is both the viral "I was there" aesthetic AND part of the safety (it reads as documenting a performance, not real violence).
- Costumed ORIGINAL characters — never real people, never named IP. Use archetypes ("a lean samurai in a straw hat", "a horned demon in black robes", "a spiky-blond-haired ninja in an orange tracksuit"). Real-person faces get moderation-blocked on both backends; named/trademarked characters drift and trip flags. Describe the cosplay (hair, costume, props), not a brand.
- Live-stage effect, grounded. The "wow" beat is a believable practical effect — a puff of stage smoke, green stage fire and sparks, a wall of water / geyser. Both performers recoil/brace dramatically; nobody gets hurt.
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.
- 9d ago First seen · 103 lines · 165 tokens per session scan A 2143e595720b
stagefight is a skill published in the GitHub repository Pika-Labs/Pika-Plugins (40 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 165 tokens to every session and 3,137 once invoked, about $0.0008 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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