Knowledge Graph Tools
DrugClaw/DrugClaw
Drug-discovery knowledge-graph workflow guide for assembling drug-target-disease-pathway relationship graphs from OpenTargets GraphQL, ChEMBL REST, STRING PPI, and Reactome pathway APIs, then…
Query the ChEBI (Chemical Entities of Biological Interest) database.
Install Chebi Query
$ npx skills add QSong-github/DrugClaw --skill chebi-query -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install QSong-github/DrugClaw chebi-query --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/QSong-github/DrugClaw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/drug_ontology/chebi .claude/skills/chebi-query && rm -rf skills-srcUse ~/.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/
Install the "chebi-query" agent skill from https://github.com/QSong-github/DrugClaw/tree/main/skills/drug_ontology/chebi into .claude/skills/chebi-query/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "chebi-query", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/QSong-github/DrugClaw/tree/main/skills/drug_ontology/chebiType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add QSong-github/DrugClaw --skill chebi-query -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install QSong-github/DrugClaw chebi-query --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/QSong-github/DrugClaw.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/drug_ontology/chebi .agents/skills/chebi-query && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "chebi-query" agent skill from https://github.com/QSong-github/DrugClaw/tree/main/skills/drug_ontology/chebi into .agents/skills/chebi-query/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "chebi-query", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add QSong-github/DrugClaw --skill chebi-query -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install QSong-github/DrugClaw chebi-query --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/QSong-github/DrugClaw.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/drug_ontology/chebi .cursor/skills/chebi-query && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "chebi-query" agent skill from https://github.com/QSong-github/DrugClaw/tree/main/skills/drug_ontology/chebi into .cursor/skills/chebi-query/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "chebi-query", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/QSong-github/DrugClaw.git --path skills/drug_ontology/chebi--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add QSong-github/DrugClaw --skill chebi-query -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install QSong-github/DrugClaw chebi-query --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/QSong-github/DrugClaw.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/drug_ontology/chebi .gemini/skills/chebi-query && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "chebi-query" agent skill from https://github.com/QSong-github/DrugClaw/tree/main/skills/drug_ontology/chebi into .gemini/skills/chebi-query/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "chebi-query", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install QSong-github/DrugClaw chebi-queryInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add QSong-github/DrugClaw --skill chebi-query -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/QSong-github/DrugClaw.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/drug_ontology/chebi .github/skills/chebi-query && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "chebi-query" agent skill from https://github.com/QSong-github/DrugClaw/tree/main/skills/drug_ontology/chebi into .github/skills/chebi-query/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "chebi-query", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add QSong-github/DrugClaw --skill chebi-query -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install QSong-github/DrugClaw chebi-query --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/QSong-github/DrugClaw.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/drug_ontology/chebi .opencode/skills/chebi-query && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "chebi-query" agent skill from https://github.com/QSong-github/DrugClaw/tree/main/skills/drug_ontology/chebi into .opencode/skills/chebi-query/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "chebi-query", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
chebi-query- GitHub stars
- 116
- Used in
- 1 other repo
- Token cost
- ~773 tokens
- SKILL.md length
- 281 words
- Files
- 6
- Skills in repo
- 31
- Repo updated
- First seen
- Licence
- None found
At a glance
Query the ChEBI (Chemical Entities of Biological Interest) database.
- The user asks about small molecule identifiers
- SKILL.md covers API, Usage, Key Fields Returned and Data Source
- Runs Python scripts from its folder; reaches ebi.ac.uk
- Chemical ontology roles
What it does
Chebi Query is an agent skill from QSong-github/DrugClaw. Query the ChEBI (Chemical Entities of Biological Interest) database. Use whenever the user asks about small molecule identifiers, chemical ontology roles, molecular formulae, SMILES, InChI, synonyms, or cross-references for biologically relevant chemical compounds via ChEBI.
Its SKILL.md is about 770 tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files (for example `README.md`, `__init__.py` and `chebi_skill.py`).
It sits in Knowledge Management, covering Drug discovery and cheminformatics and Knowledge graphs. The repository describes itself as: 🦀 Agentic RAG for drug intelligence · 57 skills · 15 task categories · DTI · ADR · DDI · PGx · Repurposing · Powered by LangGraph.
When your agent uses it
- The user asks about small molecule identifiers
- Chemical ontology roles
- Molecular formulae
- Cross-references for biologically relevant chemical compounds via ChEBI
Example prompts
- “/chebi-query”
Requirements
- Python 3
What it can do on your machine
Read from SKILL.md and the folder at commit bc7b93e. 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
Ships script files (Python), which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
ebi.ac.uk
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
Chebi Query loads about 773 tokens when it runs. Until then it costs about 72 tokens; SKILL.md has 281 words of instructions outside code blocks.
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
Without a licence we can't republish the file, so here is its outline and opening line. It has 281 words (~773 tokens).
“Search the ChEBI 2.0 REST API by any entity. Auto-detects input type:”
- name
- chebi-query
Files
SKILL.md and 5 other files in skills/drug_ontology/chebi of QSong-github/DrugClaw.
- SKILL.md
- README.md
- __init__.py
- chebi_skill.py
- example.py
- retrieve.py
Open the folder on GitHubat commit bc7b93e
Used in 1 other repository
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in QSong-github/DrugClaw, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Chebi 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Chebi Query this skillQSong-github/DrugClaw | 116 | 1 repos | ~773 | Automated safety check: Pass | None | |
| Knowledge Graph ToolsDrugClaw/DrugClaw | 125 | — | ~1.7k | Automated safety check: Pass | Apache-2.0 | |
| Torchdrugdavila7/claude-code-templates | 32k | 12 repos | ~3.5k | Automated safety check: Pass | MIT | |
| TorchdrugK-Dense-AI/scientific-agent-skills | 48k | 1 repos | ~3k | Automated safety check: Notes | Apache-2.0 | |
| Torchdrug Englishaipoch/medical-research-skills | 2k | — | ~2.6k | Automated safety check: Pass | MIT | |
| Behive Researchqa10devteam/behive | 146 | — | ~1.4k | Automated safety check: Pass | MIT |
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Builds and troubleshoots TorchDrug 0.2.1 workflows for molecular graphs, property prediction, self-supervised pretraining, molecule generation, retrosynthesis, protein representation learning, and…
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Behive Research
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A skill your agent uses when the user asks to research a topic deeply, gather intelligence, or build a knowledge base.
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Drugcentral Query
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Related
Categories
Questions about Chebi Query
What does Chebi Query do?
Query the ChEBI (Chemical Entities of Biological Interest) database. Chebi Query is an agent skill from QSong-github/DrugClaw. Query the ChEBI (Chemical Entities of Biological Interest) database.
When should I use Chebi Query?
Chebi Query fits situations like: the user asks about small molecule identifiers; chemical ontology roles; molecular formulae; cross-references for biologically relevant chemical compounds via ChEBI.
How do I install Chebi Query in Claude Code?
Run `npx skills add QSong-github/DrugClaw --skill chebi-query -a claude-code`. Or copy the skill folder (skills/drug_ontology/chebi in QSong-github/DrugClaw) into .claude/skills/chebi-query in your project. Claude Code loads it when a task matches its description.
How do I install Chebi Query in Codex?
Run `npx skills add QSong-github/DrugClaw --skill chebi-query -a codex`. Or copy the skill folder (skills/drug_ontology/chebi in QSong-github/DrugClaw) into .agents/skills/chebi-query in your project. Codex loads it when a task matches its description.
Can I use Chebi 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 QSong-github/DrugClaw --skill chebi-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/chebi-query, .gemini/skills/chebi-query, .github/skills/chebi-query and .opencode/skills/chebi-query in your project.
What does Chebi Query need to run?
Going by SKILL.md and its folder, Chebi Query needs Python for the scripts in its folder. Our summary lists: Python 3.
Does Chebi Query access the network?
SKILL.md names 1 domain. In commands or code: ebi.ac.uk; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.
Is Chebi 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 Chebi Query use?
No licence was found for Chebi Query or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Chebi Query use?
About 773 tokens (SKILL.md is roughly 3.1k 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 Chebi Query?
Skills that share tags, products or a category with Chebi Query: Knowledge Graph Tools (DrugClaw/DrugClaw, 125 stars), Torchdrug (davila7/claude-code-templates, 32k stars), Torchdrug (K-Dense-AI/scientific-agent-skills, 48k stars) and Torchdrug English (aipoch/medical-research-skills, 2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Chebi Query?
QSong-github (a GitHub user) maintains it in QSong-github/DrugClaw, which has 116 GitHub stars. The repository holds 31 skills in this directory. The repository was last updated on August 25, 2026.
Source: QSong-github/DrugClaw on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.