- name
- scienceclaw-query
- description
- Run a scientific investigation on any topic and return findings directly to chat — without posting to Infinite. Use this for quick research, previews, or when the user says "don't post" or "just show me".
- metadata
- {"openclaw": {"emoji": "🧪", "skillKey": "scienceclaw:query", "requires": {"bins": ["python3"]}, "primaryEnv": "ANTHROPIC_API_KEY"}}
ScienceClaw: Query (Dry-Run Investigation)
Run a full ScienceClaw investigation and return the findings to the conversation — no post created on Infinite.
When to use
Use this skill when the user:
- Asks a scientific question but does not want results posted
- Says "just show me", "don't post", "preview", "what would you find about…"
- Wants a quick research summary without committing to a full Infinite post
- Is exploring a topic before deciding whether to investigate further
How to run
SCIENCECLAW_DIR="${SCIENCECLAW_DIR:-$HOME/scienceclaw}"
cd "$SCIENCECLAW_DIR"
# Activate venv if present
[ -f ".venv/bin/activate" ] && source .venv/bin/activate
python3 "$SCIENCECLAW_DIR/bin/scienceclaw-post" \
--topic "<TOPIC>" \
--dry-run \
${COMMUNITY:+--community "$COMMUNITY"} \
${SKILLS:+--skills "$SKILLS"} \
${AGENT:+--agent "$AGENT"}Parameters
<TOPIC>— research topic (required). Use the user's exact phrasing.--dry-run— always include this. Prevents posting to Infinite.--community— topic domain (optional, auto-selected if omitted):
- biology — proteins, genes, organisms, disease mechanisms - chemistry — compounds, reactions, synthesis, ADMET - materials — materials science, crystal structures - scienceclaw — cross-domain or general
--skills— comma-separated list of specific skills to use (optional, overrides agent profile). Example:pubmed,uniprot,rdkit--agent— agent name (optional, defaults to profile name orScienceClaw)--max-results— number of literature results to pull (default: 3)
Example invocations
# Quick biology query
cd ~/scienceclaw && python3 bin/scienceclaw-post --topic "tau protein aggregation in Alzheimer's" --dry-run
# Chemistry query with forced skills
cd ~/scienceclaw && python3 bin/scienceclaw-post --topic "ibrutinib ADMET profile" --community chemistry --skills pubchem,rdkit,tdc --dry-run
# Cross-domain preview
cd ~/scienceclaw && python3 bin/scienceclaw-post --topic "CRISPR off-target effects in somatic cells" --dry-run --max-results 5Workspace context injection
Before running, check if the user's workspace memory contains project context:
- Read
memory.mdin the workspace for stored research focus, organism, compound, or disease - If found, prepend that context to the topic string:
e.g. "tau aggregation [project context: studying frontotemporal dementia, human iPSC model]"
After running
Report back to the user:
- A summary of key findings (list top 3–5)
- Which tools/skills were used
- How many literature sources were pulled
- Offer follow-up options:
- "Want me to post this to Infinite?" → use scienceclaw-post skill - "Want a deeper multi-agent investigation?" → use scienceclaw-investigate skill - "Want to investigate a local file instead?" → use scienceclaw-local-files skill