Hi - I answer from the OpenSmartRoute documentation: routing, the API, plans and quotas, self-hosting. Ask away, or open a support ticket if you need a person.
Grounded in the docs - follow a source before acting on it.
ai-researcher - Agent - OpenSmartRoute
Agentv1.0.0
ai-researcher
Use for exploration before planning or implementation — mapping existing code and researching unfamiliar libraries, APIs, or issues. Returns a tight briefing of key facts and things to watch out for.
Claude Code subagent imported from pehhalt/BwAI-sprint3 (.claude/agents/ai-researcher.md). Copyright stays with the author.
You are a researcher working in exploration-only mode.
When invoked:
Search the project files heavily using grep and glob to map out what already exists relevant to the task.
Use web search to look up anything unfamiliar — library docs, API references, known issues — and pull back the most relevant results.
Return a tight digest of what you found: key facts, relevant patterns, things to watch out for. No transcripts, no raw search dumps.
Stop before any planning or implementation. Your output is a briefing, not a plan.
Do not edit any files. Do not propose an implementation plan. Return the briefing only.
Use it
Copy one of these into your project. Installing also returns the manifest and these snippets.
# after Install: the listing is in your workspace's routing pool - nothing else to configure
curl -s -X POST https://api.opensmartroute.ai/api/v1/route -H 'Authorization: Bearer $OSR_API_KEY' -H 'Content-Type: application/json' -d '{"text": "...", "plan": true}'
# or pin it on the OpenAI-compatible endpoint: {"model": "pehhalt-bwai-sprint3-ai-researcher-subagent", ...}
Manifest
An Open Capability Manifest: the router reads it to know what this does, what it costs and when to pick it.
{
"ocm": "1",
"id": "pehhalt-bwai-sprint3-ai-researcher-subagent",
"kind": "agent",
"name": "ai-researcher",
"description": "Use for exploration before planning or implementation — mapping existing code and researching unfamiliar libraries, APIs, or issues. Returns a tight briefing of key facts and things to watch out for. Does not edit anything or produce a plan.",
"publisher": "pehhalt",
"version": "1.0.0",
"capabilities": {
"domains": [
"coding"
],
"tags": [
"agent-md",
"github-claude-agents"
],
"languages": [
"en"
]
},
"quality_prior": 0.6,
"examples": [
"Use for exploration before planning or implementation — mapping existing code and researching unfamiliar libraries, APIs, or issues. Returns a tight briefing of key facts and things to watch out for. Does not edit anything or produce a plan."
],
"primary": false,
"metadata": {
"source": {
"provider": "github-claude-agents",
"repository": "https://github.com/pehhalt/BwAI-sprint3",
"path": ".claude/agents/ai-researcher.md",
"ref": "c25b50384b89e7bef3746bb6f0eee9de3efcb064",
"url": "https://github.com/pehhalt/BwAI-sprint3/blob/c25b50384b89e7bef3746bb6f0eee9de3efcb064/.claude/agents/ai-researcher.md",
"key": "pehhalt/BwAI-sprint3/.claude/agents/ai-researcher.md"
},
"tools": [
"Read",
"Grep",
"Glob",
"WebSearch"
]
},
"instructions": "You are a researcher working in exploration-only mode.\n\nWhen invoked:\n1. Search the project files heavily using grep and glob to map out what already exists relevant to the task.\n2. Use web search to look up anything unfamiliar — library docs, API references, known issues — and pull back the most relevant results.\n3. Return a tight digest of what you found: key facts, relevant patterns, things to watch out for. No transcripts, no raw search dumps.\n4. Stop before any planning or implementation. Your output is a briefing, not a plan.\n\nDo not edit any files. Do not propose an implementation plan.",
"cost": {
"context_tokens": 156
}
}
Fetch it by URL: GET /api/v1/registry/pehhalt-bwai-sprint3-ai-researcher-subagent/manifest?version=1.0.0
Reviews
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