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 PoyoAPI/poyo-devtools --skill poyo-ai-modelsgit clone --depth 1 https://github.com/PoyoAPI/poyo-devtoolsWrote 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/poyoapi/poyo-devtools/poyo-ai-models)<a href="https://agentmods.dev/skills/poyoapi/poyo-devtools/poyo-ai-models"><img src="https://agentmods.dev/badge/skills/poyoapi/poyo-devtools/poyo-ai-models.svg" alt="Measured on agentmods" 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 | $0.00074 | $0.00545 |
| Opus 5 | $0.00037 | $0.00272 |
| Sonnet 5 | $0.00015 | $0.00109 |
| Haiku 4.5 | $0.00007 | $0.00055 |
Grade A, and why
poyo-ai-models 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 7d 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 — 40 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PoYo AI Models
Use the production Capability Catalog as the source of truth. Never invent model IDs or parameters.
Choose the integration
- Prefer hosted MCP at
https://api.poyo.ai/mcp. - After discovery, prefer
?models=MODEL_A,MODEL_Bwhen a small strongly typed tool set is useful. Use?categories=...only for bounded exploration, and never combine both filters. - Use
npx @poyoapi/mcpfor clients that only support stdio. - Use
npx @poyoapi/clifor chat SSE or when MCP is unavailable. - Mark Skill executions with
_request_source: "skill"in MCP or--request-source skillin CLI.
Keep POYO_API_KEY in the environment or system keyring. Never put it in prompts, query strings, committed files, or retained shell history.
Execute
- Restate the desired modality, model constraints, inputs, output requirements, and budget.
- Search the catalog and inspect the selected model's schema and pricing.
- Validate every input against that schema.
- For chat, use
poyo_chat; use CLIpoyo chat MODEL --streamonly when incremental output is required. - For short generation, use
poyo_run_model. For video, 3D, music, or other long work, usepoyo_submit_job. - Treat queued and running as incomplete. Poll with
poyo_check_jobuntil succeeded or failed. - Report model ID, final status, credits, output URLs, and any partial or failed result.
Read the generated reference matching the requested category when it exists in references/.
For every Suno model or workflow, also read references/suno.md before validating inputs or submitting a task.
Guardrails
- Check account credits before expensive or repeated generation.
- Do not automatically resubmit a paid request after a timeout or transport failure; first determine whether a task was created.
- Do not claim completion while a task is queued or running.
- Do not pass
stream: trueto MCP chat; MCP returns one complete tool result. - Preserve task IDs so interrupted work can resume without resubmission.
What ships with it
17 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.
- agents/openai.yaml 247 B
- references/3d.md 1.5 KB
- references/audio.md 1.0 KB
- references/audio2audio.md 1.2 KB
- references/chat.md 2.5 KB
- references/image_tools.md 637 B
- references/image.md 3.6 KB
- references/img2img.md 1.2 KB
- references/img2vid.md 1.4 KB
- references/protocols.md 339 B
- references/suno.md 2.0 KB
- references/text2audio.md 1.4 KB
- references/text2img.md 1.3 KB
- references/text2vid.md 265 B
- references/translate.md 368 B
- references/video.md 5.6 KB
- references/video2video.md 621 B
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.
- 7d ago First seen · 40 lines · 74 tokens per session scan A a40a833cb915
poyo-ai-models is a skill published in the GitHub repository PoyoAPI/poyo-devtools (1 stars, last pushed 7d ago), licensed MIT. It adds 74 tokens to every session and 545 once invoked, about $0.0004 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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