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 agentmods add skills/lambdatest/agent-skills/ai-based-apinpx skills add LambdaTest/agent-skills --skill ai-based-apigit clone --depth 1 https://github.com/LambdaTest/agent-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/lambdatest/agent-skills/ai-based-api)<a href="https://agentmods.dev/skills/lambdatest/agent-skills/ai-based-api"><img src="https://agentmods.dev/badge/skills/lambdatest/agent-skills/ai-based-api.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 | $0.00149 | $0.01397 |
| Opus 5 | $0.00075 | $0.00698 |
| Sonnet 5 | $0.00030 | $0.00279 |
| Haiku 4.5 | $0.00015 | $0.00140 |
Grade A, and why
api-ai-augmented 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 6d 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 — 162 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI-Augmented API Skill
Design LLM tool definitions, agentic workflows, and natural language API interfaces.
Anthropic Tool Use Definition
{
"name": "search_products",
"description": "Search for products by keyword, category, or price range. Use when the user wants to find, browse, or compare products.",
"input_schema": {
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "Search query keywords"
},
"category": {
"type": "string",
"enum": ["electronics", "clothing", "books", "home"],
"description": "Optional category filter"
},
"min_price": { "type": "number", "description": "Minimum price in USD" },
"max_price": { "type": "number", "description": "Maximum price in USD" },
"limit": { "type": "integer", "default": 10, "description": "Max results to return" }
},
"required": ["query"]
}
}
OpenAI Function Calling Definition
{
"type": "function",
"function": {
"name": "create_order",
"description": "Create a new order for a user. Use when the user wants to purchase a product. Always confirm product and quantity before calling.",
"parameters": {
"type": "object",
"properties": {
"product_id": { "type": "string", "description": "The product ID to order" },
"quantity": { "type": "integer", "minimum": 1, "description": "Quantity to order" },
"shipping_address": {
"type": "object",
"properties": {
"street": { "type": "string" },
"city": { "type": "string" },
"country": { "type": "string" }
},
"required": ["street", "city", "country"]
}
},
"required": ["product_id", "quantity", "shipping_address"]
}
}
}
MCP (Model Context Protocol) Tool Schema
{
"name": "get_build_status",
"description": "Get the status of a HyperExecute test job. Use when the user asks about test results, job status, or CI build outcomes.",
"inputSchema": {
"type": "object",
"properties": {
"job_id": { "type": "string", "description": "The HyperExecute job ID" }
},
"required": ["job_id"]
}
}
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.
- 6d ago First seen · 162 lines · 149 tokens per session scan A c98520edb21f
api-ai-augmented is a skill published in the GitHub repository LambdaTest/agent-skills (366 stars, last pushed 1mo ago), licensed MIT. It adds 149 tokens to every session and 1,397 once invoked, about $0.0007 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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