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 ailingqu/ApiAny.AI-MCP --skill apiany-integrationgit clone --depth 1 https://github.com/ailingqu/ApiAny.AI-MCPWrote 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/ailingqu/apiany.ai-mcp/apiany-integration)<a href="https://agentmods.dev/skills/ailingqu/apiany.ai-mcp/apiany-integration"><img src="https://agentmods.dev/badge/skills/ailingqu/apiany.ai-mcp/apiany-integration/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/ailingqu/apiany.ai-mcp/apiany-integration"><img src="https://agentmods.dev/badge/skills/ailingqu/apiany.ai-mcp/apiany-integration.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 | $0.00062 | $0.01026 |
| Opus 5.5 | $0.00025 | $0.00410 |
| Sonnet 5.5 | $0.00012 | $0.00205 |
| Haiku 4.5 | $0.00006 | $0.00103 |
Grade A, and why
apiany-integration 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 1mo 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 — 129 lines — stays where its author put it; the contents beside it link to each section on GitHub.
APIAny Integration Skill
Use this skill when a user asks an agent to integrate with APIAny, choose an APIAny model, compare APIAny pricing, migrate an OpenAI-compatible client to APIAny, or estimate APIAny credits.
Core Rules
- Prefer APIAny's OpenAI-compatible base URL:
https://apiany.ai/v1. - Never reveal or log API keys. Use placeholders such as
<APIANY_API_KEY>. - For model discovery, prefer the APIAny MCP server tools when available:
list_modelssearch_modelsget_modelget_model_usageestimate_costget_integration_examplesget_docs_contextcreate_image_taskcreate_video_taskget_task_status
- If MCP is not available, use public docs and
https://apiany.ai/api/v1/models. - Treat pricing as an estimate unless returned by the live API at request time.
- For image/video/audio generation, explain async task behavior: create task, poll status or use callback, charge on success, refund on failure.
- Do not call paid generation endpoints unless the user explicitly asks, provides an API key, and confirms the paid request. For MCP tools, pass
confirm_paid_request=trueonly after confirmation.
Workflow
- Understand the user's target workflow:
- Chat / text
- Image generation or editing
- Video generation
- Audio or music
- Cost comparison
- Migration from OpenAI-compatible client
- Select candidate models:
- Search by modality, provider, model family, or capability.
- Compare model pricing and capabilities.
- Prefer stable public model ids.
- Provide integration code:
- Use
get_model_usagefor the selected model whenever the MCP server is available. - Use the OpenAI-compatible SDK for chat models when applicable.
- Use APIAny media endpoints for image/video models and explain task polling.
- Set
base_url/baseURLtohttps://apiany.ai/v1. - Set API key from environment, not inline.
- Use
- Estimate cost:
- Use
estimate_costwhen available. - Mention that server-side billing rules are authoritative.
- Use
- Provide verification steps:
- Check API key.
- Run a small request.
- Inspect task status or response.
- Confirm credit usage in dashboard.
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.
- 1mo ago First seen · 129 lines · 62 tokens per session scan A 1a3ba659387f
apiany-integration is a skill published in the GitHub repository ailingqu/ApiAny.AI-MCP (0 stars, last pushed 4mo ago), licensed MIT. It adds 62 tokens to every session and 1,026 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 2026-08-31.
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