chonkie-deepresearch
Run deep research queries using Chonkie DeepResearch. Returns comprehensive research reports with citations — useful for market analysis, competitive intelligence, technical deep dives, and any research-heavy task.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/chonknick/chonkie-deepresearchChonkie DeepResearch
Run deep research queries from your agent and get comprehensive reports with citations.
Setup
Before using, check if chdr is installed (which chdr). If not:
- Install:
cargo install chdr- If
cargoisn't available, install Rust first:curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh
- If
- Authenticate:
chdr auth login(opens browser to get an API key)- Or set
CHONKIE_API_KEYenvironment variable - Get a key at https://labs.chonkie.ai/settings/api-keys
- Or set
Usage
IMPORTANT: Research takes 2-10 minutes. Always spawn a sub-agent to avoid blocking the main thread.
Running research (recommended: sub-agent)
Use sessions_spawn to run the research in a sub-agent. The sub-agent handles the long-running query and announces the result when done, so your main agent stays responsive.
{
"tool": "sessions_spawn",
"task": "Run chdr research and save results. Steps:\n1. Run: chdr research --type report --no-stream --json \"<QUERY>\" > /tmp/chdr-research-<TIMESTAMP>.json\n2. Extract ID and title: python3 -c \"import json; d=json.load(open('/tmp/chdr-research-<TIMESTAMP>.json')); print(d['id']); print(d.get('title','Untitled'))\"\n3. Extract body: python3 -c \"import json; d=json.load(open('/tmp/chdr-research-<TIMESTAMP>.json')); print(d.get('content',{}).get('body',''))\" > /tmp/chdr-research-<TIMESTAMP>.md\n4. Report back the title, ID, and URL: https://labs.chonkie.ai/research/{id}"
}
Replace <QUERY> with the research query and <TIMESTAMP> with $(date +%s).
Monitoring research status
Do NOT poll continuously for status. Instead, set up a cron job to check periodically (every 2-3 minutes):
# Add a cron entry to check research status every 2 minutes
# The cron should run: chdr view <id> --json | python3 -c "import json,sys; d=json.load(sys.stdin); s=d.get('status','unknown'); print(s)"
# and notify you when status is 'completed' or 'failed'
Or simply wait for the sub-agent to announce completion — it will report back automatically when the research finishes. The sub-agent approach is preferred over cron for one-off research queries.
After research completes
When the sub-agent announces completion:
- The web URL is:
https://labs.chonkie.ai/research/{id} - The full report is saved at
/tmp/chdr-research-<TIMESTAMP>.md - Read only the first 100 lines for a summary — NEVER load the entire file
- Tell the user you can answer questions about the report
Answering follow-up questions
- Grep the
.mdfile to find relevant sections before reading - Use offset/limit to read only the matching section
- NEVER read the entire file into context — reports can be 20,000+ lines
Fallback: running without sub-agent
If sub-agents are unavailable, run the research command directly but warn the user it will block for several minutes:
chdr research --type report --no-stream --json "<query>" > /tmp/chdr-research.json
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-chonknick-chonkie-deepresearch": {
"enabled": true,
"auto_update": true
}
}
}