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Agent skill

Scienceclaw Query

by lamm-mit in lamm-mit/scienceclaw

Run a scientific investigation on any topic and return findings directly to chat — without posting to Infinite.

Apache-2.0Auto-check passedResearch & Science

Install Scienceclaw Query

skills CLI
$ npx skills add lamm-mit/scienceclaw --skill scienceclaw-query -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install lamm-mit/scienceclaw scienceclaw-query --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/lamm-mit/scienceclaw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/openclaw-skill-pack/skills/scienceclaw-query .claude/skills/scienceclaw-query && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
scienceclaw-query
GitHub stars
244
Token cost
~821 tokens
SKILL.md length
260 words
Files
1
Skills in repo
85
Repo updated
First seen
Licence
Apache-2.0

At a glance

Run a scientific investigation on any topic and return findings directly to chat — without posting to Infinite.

  • Research & Science work in your project
  • SKILL.md covers When to use, How to run, Workspace context injection and After running
  • Calls python3

What it does

Scienceclaw Query is an agent skill from lamm-mit/scienceclaw. 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".

Its SKILL.md is about 820 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Research & Science. The licence is Apache-2.0.

When your agent uses it

  • Research & Science work in your project

Example prompts

  • “t post”
  • “just show me”
  • “/scienceclaw-query”

Requirements

  • Python 3
  • A credential in ANTHROPIC_API_KEY

What it can do on your machine

Read from SKILL.md and the folder at commit ab9aba1. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • python3

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Scienceclaw Query loads about 821 tokens when it runs. Until then it costs about 56 tokens; SKILL.md has 260 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~56
When it runs · the whole SKILL.md, loaded when a task matches
~821

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from lamm-mit/scienceclaw at commit ab9aba1, republished under its Apache-2.0 licence (© lamm-mit). 260 words, ~821 tokens.

Download SKILL.mdSave it as .claude/skills/scienceclaw-query/SKILL.md (or your agent's skills folder).
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".

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

bash
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 or ScienceClaw)
  • --max-results — number of literature results to pull (default: 3)
Example invocations
bash
# 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 5

Workspace context injection

Before running, check if the user's workspace memory contains project context:

  • Read memory.md in 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

© lamm-mit, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in openclaw-skill-pack/skills/scienceclaw-query of lamm-mit/scienceclaw.

Open the folder on GitHubat commit ab9aba1

Compare with similar skills

Scienceclaw Query next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Scienceclaw Query compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Scienceclaw Query this skilllamm-mit/scienceclaw244—~821Automated safety check: PassApache-2.0
Hypothesis Generationspacering-net/codeg3.8k15 repos~3.6kAutomated safety check: NotesMIT
GitHub Deep Researchbytedance/deer-flow83k5 repos~1.3kAutomated safety check: PassMIT
Nature Paper CardYuan1z0825/nature-skills46k2 repos~2.1kAutomated safety check: PassApache-2.0
Read arXiv Paperkarpathy/nanochat58k2 repos~494Automated safety check: PassMIT
Content Research Writerweapp-tailwindcss/weapp-tailwindcss1.9k25 repos~3.5kAutomated safety check: PassMIT

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Categories

Questions about Scienceclaw Query

What does Scienceclaw Query do?

Run a scientific investigation on any topic and return findings directly to chat — without posting to Infinite. Scienceclaw Query is an agent skill from lamm-mit/scienceclaw. Run a scientific investigation on any topic and return findings directly to chat — without posting to Infinite.

When should I use Scienceclaw Query?

Scienceclaw Query fits situations like: research & Science work in your project.

How do I install Scienceclaw Query in Claude Code?

Run `npx skills add lamm-mit/scienceclaw --skill scienceclaw-query -a claude-code`. Or copy the skill folder (openclaw-skill-pack/skills/scienceclaw-query in lamm-mit/scienceclaw) into .claude/skills/scienceclaw-query in your project. Claude Code loads it when a task matches its description.

How do I install Scienceclaw Query in Codex?

Run `npx skills add lamm-mit/scienceclaw --skill scienceclaw-query -a codex`. Or copy the skill folder (openclaw-skill-pack/skills/scienceclaw-query in lamm-mit/scienceclaw) into .agents/skills/scienceclaw-query in your project. Codex loads it when a task matches its description.

Can I use Scienceclaw Query in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add lamm-mit/scienceclaw --skill scienceclaw-query -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/scienceclaw-query, .gemini/skills/scienceclaw-query, .github/skills/scienceclaw-query and .opencode/skills/scienceclaw-query in your project.

What does Scienceclaw Query need to run?

Going by SKILL.md and its folder, Scienceclaw Query needs the command-line tools its instructions call (python3). Our summary lists: Python 3; A credential in ANTHROPIC_API_KEY.

Does Scienceclaw Query access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Scienceclaw Query safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Scienceclaw Query use?

Scienceclaw Query is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Scienceclaw Query use?

About 821 tokens (SKILL.md is roughly 3.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Scienceclaw Query?

Skills that share tags, products or a category with Scienceclaw Query: Hypothesis Generation (spacering-net/codeg, 3.8k stars), GitHub Deep Research (bytedance/deer-flow, 83k stars), Nature Paper Card (Yuan1z0825/nature-skills, 46k stars) and Read arXiv Paper (karpathy/nanochat, 58k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Scienceclaw Query?

lamm-mit (a GitHub user) maintains it in lamm-mit/scienceclaw, which has 244 GitHub stars. The repository holds 85 skills in this directory. The repository was last updated on August 21, 2026.

Source: lamm-mit/scienceclaw on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.