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/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/poyoapi/poyo-devtools/poyo-ai-models"><img src="https://agentmods.dev/badge/skills/poyoapi/poyo-devtools/poyo-ai-models.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 | $0.00083 | $0.01921 |
| Opus 5.5 | $0.00033 | $0.00768 |
| Sonnet 5.5 | $0.00017 | $0.00384 |
| Haiku 4.5 | $0.00008 | $0.00192 |
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 yesterday.
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 — 75 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. On Windows shells, inline--input '{...}'JSON is often broken by quoting; pass schema fields as flags such as--prompt "..." --resolution 1K, or write the JSON to a file and use--input-file. - 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. If the CLI reports an invalid key, run npx @poyoapi/cli auth status: an environment POYO_API_KEY takes priority over the key saved by auth login.
Inspect tools/list on the selected connection before calling a tool. A filtered connection exposes model-specific tools and poyo_check_job; generic execution tools such as poyo_submit_job are available on the unfiltered /mcp connection. The same rule applies to stdio --models and --categories filters.
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 the model-specific tool on a filtered connection or
poyo_chaton the unfiltered connection; use CLIpoyo chat MODEL --streamonly when incremental output is required. - For generation or moderation on a filtered connection, call the model-specific tool with
_wait_seconds: 0for video, 3D, music, or other long work. On the unfiltered connection, usepoyo_submit_jobfor long work orpoyo_run_modelfor short generation. Never call a generic execution tool that is absent fromtools/list. - Treat queued and running as incomplete. Poll with
poyo_check_jobuntil succeeded or failed. - Report model ID, final status, credits, output URLs or structured output, and any partial or failed result.
What ships with it
34 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 242 B
- references/3d.md 2.1 KB
- references/audio.md 1.5 KB
- references/audio2audio.md 1.2 KB
- references/chat.md 3.6 KB
- references/flux-3-klein.md 1.6 KB
- references/flux-3-max.md 1.8 KB
- references/gpt-image-2-5.md 2.2 KB
- references/gpt-image-2-6-fixed.md 1.4 KB
- references/h3-max.md 3.4 KB
- references/ideogram-v4-5.md 1.6 KB
- references/ideogram-vector-1.0.md 1.5 KB
- references/image_tools.md 637 B
- references/image.md 5.2 KB
- references/img2img.md 1.3 KB
- references/img2vid.md 1.4 KB
- references/kling-4-0.md 4.7 KB
- references/meshy-7-1.md 2.1 KB
- references/moderation.md 460 B
- references/nano-banana-2-1.md 1.2 KB
- references/omnihuman-2-0.md 1.4 KB
- references/pixverse-v6-max.md 1.5 KB
- references/protocols.md 339 B
- references/qwen-image-2-1.md 2.4 KB
- references/seedream-5-0-flash.md 1.6 KB
- references/speech-v4-gemini-3-8.md 2.1 KB
- references/suno.md 3.0 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 6.5 KB
- references/video2video.md 621 B
- references/vidu-q4.md 1.9 KB
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.
- yesterday Changed · +2 lines 61ae2a4a5b18
- 2d ago Changed · +2 lines 6b36fb9704b3
- 8d ago Changed · +2 lines f48b85261d78
- 9d ago Changed c50df89d390c
- 13d ago Changed · +2 lines ae5b27ba6feb
- 16d ago Changed · +3 lines 0cce7cf6ec3c
- 19d ago Changed · +2 lines 4153fef3bec5
- 23d ago Changed · +8 lines · +9 tokens per session fb509a3315b6
- 29d ago Changed · +4 lines 8f678d696ce7
- 1mo ago First seen · 50 lines · 74 tokens per session scan A 3270ee542203
poyo-ai-models is a skill published in the GitHub repository PoyoAPI/poyo-devtools (1 stars, last pushed 2d ago), licensed MIT. It adds 83 tokens to every session and 1,921 once invoked, about $0.0003 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 2026-08-31.
poyo-ai-models compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| poyo-ai-modelsPoyoAPI/poyo-devtools | Skill | 1 | 2d ago | MIT | A | 83 | Codex |
| agent-platform-model-registrygoogle/skills | Skill | 23k | today | Apache-2.0 | A | 60 | Claude Code, Codex |
| foundry-config-setupmicrosoft/agent-framework | Skill | 15k | yesterday | MIT | A | 65 | Claude Code, Codex |
| google-cloud-solution-agentic-analytics-spark-knowledge-cataloggoogle/skills | Skill | 23k | today | Apache-2.0 | A | 132 | Claude Code, Codex |
| training-checkwanshuiyin/Auto-claude-code-research-in-sleep | Skill | 19k | yesterday | MIT | A | 35 | Claude Code |
| nemo-automodel-launcher-configNVIDIA/skills | Skill | 3.9k | today | Apache-2.0 | A | 30 | Claude Code |
| finetuningmicrosoft/skills | Skill | 3.2k | today | MIT | A | 132 | Claude Code |