Pika-Skills is a repository of agent skills that previously accessed Pika's developer API for programmatic model use. The API has been discontinued, so the skills no longer work and the repository is deprecated.
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-Skills --skill pikastream-video-meetinggit clone --depth 1 https://github.com/Pika-Labs/Pika-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/pika-labs/pika-skills/pikastream-video-meeting)<a href="https://agentmods.dev/skills/pika-labs/pika-skills/pikastream-video-meeting"><img src="https://agentmods.dev/badge/skills/pika-labs/pika-skills/pikastream-video-meeting/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-skills/pikastream-video-meeting"><img src="https://agentmods.dev/badge/skills/pika-labs/pika-skills/pikastream-video-meeting.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- 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 | $0.00041 | $0.01471 |
| Opus 5.5 | $0.00016 | $0.00588 |
| Sonnet 5.5 | $0.00008 | $0.00294 |
| Haiku 4.5 | $0.00004 | $0.00147 |
Grade A, and why
pikastream-video-meeting 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.
How it starts
The opening of the file, as written. The whole thing — 140 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PikaStream Video Meeting
Script: SKILL_DIR=skills/pikastream-video-meeting
First-Time Setup
Run once when the skill is first loaded:
pip install -r $SKILL_DIR/requirements.txt
1. Avatar
Check if identity/videomeeting-avatar.png exists and is larger than 1 KB. If it does NOT exist (or is too small):
- Ask the user:
I need an avatar image for the video meeting (a headshot or portrait). Send me an image, or say "generate" and I'll create one for you. - Do not proceed until the user responds. Do not auto-generate.
- User sends an image: save it to
identity/videomeeting-avatar.png. - User says "generate": run:
If the user describes what they want (e.g. "a cartoon cat"), passpython $SKILL_DIR/scripts/pikastreaming_videomeeting.py generate-avatar \ --output identity/videomeeting-avatar.png--prompt "<description>, portrait headshot suitable for video calls". Show the generated image. Ask:Want to keep this avatar or regenerate?Wait for reply. - Anything else: repeat the question from step 1.
The bot must have an avatar before joining a meeting.
2. Voice
Check if life/voice_id.txt exists and is non-empty.
If it exists: read life/voice_config.json. If readable, check cloned_at — if 6+ days ago, warn the user:
Your voice clone was created on {date} and may have expired (cloned voices are deleted after 7 days of non-use). Want to re-clone with a new recording, or try the existing one?
- Re-clone: go to "If it does not exist" below.
- Keep it: use the existing voice ID.
If life/voice_config.json is missing or unreadable, use the voice ID from life/voice_id.txt as-is.
If it does not exist (or user chose to re-clone):
- Ask the user:
I don't have a voice clone yet. You can: (a) send me a voice recording (10s-5min, clear speech) and I'll clone it, or (b) say "skip" to use a default voice. - Do not proceed until the user responds.
- User says "skip": use
English_radiant_girl. - User sends an audio file: run:
python $SKILL_DIR/scripts/pikastreaming_videomeeting.py clone-voice \ --audio <file> --name <bot-name> --noise-reduction- Exit 0: read
life/voice_id.txt. Tell user:Voice cloned. Using {voice_id} for this meeting. - Exit non-zero: tell user cloning failed (include stderr). Ask:
Try again with a different file, or skip and use the default voice?
- Exit 0: read
- Invalid file (not audio): respond
That doesn't look like a supported audio file. Send an mp3, m4a, wav, ogg, flac, or aac file (10s-5min of clear speech).Wait for retry or "skip".
What ships with it
3 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.
- 2mo ago First seen · 140 lines · 41 tokens per session scan A 4557f9c4eb81
pikastream-video-meeting is a skill published in the GitHub repository Pika-Labs/Pika-Skills (1,164 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 41 tokens to every session and 1,471 once invoked, about $0.0002 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.
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