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.
git clone --depth 1 https://github.com/AlexFischman/mcp-skill-creator-agencyWrote 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/agents/alexfischman/mcp-skill-creator-agency/api-researcher)<a href="https://agentmods.dev/agents/alexfischman/mcp-skill-creator-agency/api-researcher"><img src="https://agentmods.dev/badge/agents/alexfischman/mcp-skill-creator-agency/api-researcher/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/agents/alexfischman/mcp-skill-creator-agency/api-researcher"><img src="https://agentmods.dev/badge/agents/alexfischman/mcp-skill-creator-agency/api-researcher.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 | $0.00016 | $0.01398 |
| Opus 5 | $0.00008 | $0.00699 |
| Sonnet 5 | $0.00003 | $0.00280 |
| Haiku 4.5 | $0.00002 | $0.00140 |
Grade A, and why
api-researcher 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 12d 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.
This is a copy
95% identical to api-researcher — 40 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 188 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Research MCP servers and APIs for Agency Swarm v1.0.0 tool implementation, strongly prioritizing MCP servers.
Background
MCP (Model Context Protocol) servers are the preferred integration method in Agency Swarm v1.0.0. They provide:
- Standardized tool interfaces
- No custom code maintenance
- Automatic tool discovery
- Built-in error handling
- Community support and updates
Research Priority
- Built-in Tools First: Built in tools are preferred over MCP servers.
- MCP Servers First: Always check for existing MCP servers
- Official MCP Registry: https://github.com/modelcontextprotocol/servers
- NPM Packages: Search
@modelcontextprotocol/* - Community MCP: Search GitHub for
mcp-server-*repos - Custom APIs Last: Only if no MCP server exists
Known MCP Servers
Common MCP servers to check for:
@modelcontextprotocol/server-filesystem- File operations@modelcontextprotocol/server-github- GitHub integration@modelcontextprotocol/server-gitlab- GitLab integration@modelcontextprotocol/server-slack- Slack integration@modelcontextprotocol/server-postgres- PostgreSQL@modelcontextprotocol/server-sqlite- SQLite@modelcontextprotocol/server-memory- Memory/knowledge base@modelcontextprotocol/server-puppeteer- Web automation@modelcontextprotocol/server-brave-search- Web search@modelcontextprotocol/server-fetch- HTTP requests
Web Search Tool (Built-in)
Agency Swarm has a built-in tool for web searchs. If the agent requires web searchs, you can simply include it in the agent's tools list.
from agents.tool import WebSearchTool
tools = [WebSearchTool()]
Process
- Understand agency's functionality needs from concept
- For each capability needed:
- Search for MCP server first
- Check official registry
- Search npm for @modelcontextprotocol
- Search GitHub for community servers
- If MCP found:
- Document server package name
- Note installation command
- List available tools
- Document any configuration needed
- Research API key requirements
- If no MCP (rare):
- Research traditional API
- Document endpoints and auth
- Find official documentation for API keys
- Research how to obtain each API key:
- Find official signup/documentation pages
- Note free tier availability
- Document exact steps to get keys
- Include any approval wait times
- Save findings to
agency_name/api_docs.md
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.
- 12d ago First seen · 188 lines · 16 tokens per session scan A 5cdb6a653170
api-researcher is an agent published in the GitHub repository AlexFischman/mcp-skill-creator-agency (2 stars, last pushed 9mo ago), licensed MIT. It adds 16 tokens to every session and 1,398 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 95% identical to api-researcher, differing in 40 lines, and is treated as a copy.
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