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Agent skill

Molecular Targets Query

by QSong-github in QSong-github/DrugClaw

Query the NCI CCDI Molecular Targets Platform (pediatric oncology) for targets (genes), diseases, drugs, and target-disease associations via its public GraphQL API.

No licenceAuto-check passedBackend & APIs

Install Molecular Targets Query

skills CLI
$ npx skills add QSong-github/DrugClaw --skill molecular-targets-query -a claude-code

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

GitHub CLI
$ gh skill install QSong-github/DrugClaw molecular-targets-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/QSong-github/DrugClaw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/dti/molecular_targets .claude/skills/molecular-targets-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
molecular-targets-query
GitHub stars
116
Used in
1 other repo
Token cost
~744 tokens
SKILL.md length
290 words
Files
5
Skills in repo
31
Repo updated
First seen
Licence
None found

At a glance

Query the NCI CCDI Molecular Targets Platform (pediatric oncology) for targets (genes), diseases, drugs, and target-disease associations via its public GraphQL API.

  • Works in 8 steps: Free-text search ("neuroblastoma") → Target lookup by Ensembl ID… → Disease lookup by ontology ID… → …
  • Tasks that involve GraphQL
  • SKILL.md covers Entity Auto-Detection, API, Usage and Data Source, plus 1 more section
  • Runs Python scripts from its folder; reaches moleculartargets.ccdi.cancer.gov

What it does

Molecular Targets Query is an agent skill from QSong-github/DrugClaw. Query the NCI CCDI Molecular Targets Platform (pediatric oncology) for targets (genes), diseases, drugs, and target-disease associations via its public GraphQL API. Auto-detects entity type from input string.

Its SKILL.md is about 740 tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files (for example `__init__.py`, `example.py` and `molecular_targets_skill.py`).

It sits in Backend & APIs, covering GraphQL. It works with GraphQL and Ensembl. 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

  • Tasks that involve GraphQL

Example prompts

  • “/molecular-targets-query”

Requirements

  • Python 3

Workflow steps

8 steps, taken from the first numbered list in SKILL.md.

  1. Free-text search ("neuroblastoma")
  2. Target lookup by Ensembl ID ("ENSG00000141510" → TP53)
  3. Disease lookup by ontology ID ("MONDO_0005072")
  4. Drug lookup by ChEMBL ID ("CHEMBL941" → imatinib)
  5. Target → disease associations
  6. Disease → target associations
  7. Batch search (mixed entity types)
  8. JSON pipeline output

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:

    • moleculartargets.ccdi.cancer.gov

    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

Molecular Targets Query loads about 744 tokens when it runs. Until then it costs about 58 tokens; SKILL.md has 290 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~58
When it runs · the whole SKILL.md, loaded when a task matches
~744

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 290 words (~744 tokens).

“Search the CCDI Molecular Targets Platform — an NCI-supported Open Targets instance focused on preclinical pediatric oncology data. Includes FDA Pediatric Molecular Target Lists and additional pediatric cancer datasets.”

— opening of SKILL.md by QSong-github
name
molecular-targets-query

Read the full SKILL.md on GitHub

Files

SKILL.md and 4 other files in skills/dti/molecular_targets of QSong-github/DrugClaw.

  • SKILL.md
  • __init__.py
  • example.py
  • molecular_targets_skill.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

Molecular Targets 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.

Molecular Targets Query compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Molecular Targets Query this skillQSong-github/DrugClaw1161 repos~744Automated safety check: PassNone
API DesignerJeffallan/claude-skills12k2 repos~2kAutomated safety check: PassMIT
Nodejs Backend Patternsever-works/ever-works15818 repos~4kAutomated safety check: PassAGPL-3.0
GraphQL Operations with CodegenChrisWiles/claude-code-showcase6.1k3 repos~1.5kAutomated safety check: PassNone
API Design Principlesjh941213/my-cc-harness12620 repos~3.4kAutomated safety check: PassNone
API And Interface Designdzhalaevd/Donatello1359 repos~2.6kAutomated safety check: PassApache-2.0

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  • Drugmechdb Query

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Works with

Categories

Questions about Molecular Targets Query

What does Molecular Targets Query do?

Query the NCI CCDI Molecular Targets Platform (pediatric oncology) for targets (genes), diseases, drugs, and target-disease associations via its public GraphQL API. Molecular Targets Query is an agent skill from QSong-github/DrugClaw. Query the NCI CCDI Molecular Targets Platform (pediatric oncology) for targets (genes), diseases, drugs, and target-disease associations via its public GraphQL API.

When should I use Molecular Targets Query?

Molecular Targets Query fits situations like: tasks that involve GraphQL.

How do I install Molecular Targets Query in Claude Code?

Run `npx skills add QSong-github/DrugClaw --skill molecular-targets-query -a claude-code`. Or copy the skill folder (skills/dti/molecular_targets in QSong-github/DrugClaw) into .claude/skills/molecular-targets-query in your project. Claude Code loads it when a task matches its description.

How do I install Molecular Targets Query in Codex?

Run `npx skills add QSong-github/DrugClaw --skill molecular-targets-query -a codex`. Or copy the skill folder (skills/dti/molecular_targets in QSong-github/DrugClaw) into .agents/skills/molecular-targets-query in your project. Codex loads it when a task matches its description.

Can I use Molecular Targets 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 molecular-targets-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/molecular-targets-query, .gemini/skills/molecular-targets-query, .github/skills/molecular-targets-query and .opencode/skills/molecular-targets-query in your project.

What does Molecular Targets Query need to run?

Going by SKILL.md and its folder, Molecular Targets Query needs Python for the scripts in its folder. Our summary lists: Python 3.

Does Molecular Targets Query access the network?

SKILL.md names 1 domain. In commands or code: moleculartargets.ccdi.cancer.gov; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Molecular Targets 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 Molecular Targets Query use?

No licence was found for Molecular Targets Query or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Molecular Targets Query use?

About 744 tokens (SKILL.md is roughly 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 Molecular Targets Query?

Skills that share tags, products or a category with Molecular Targets Query: API Designer (Jeffallan/claude-skills, 12k stars), Nodejs Backend Patterns (ever-works/ever-works, 158 stars), GraphQL Operations with Codegen (ChrisWiles/claude-code-showcase, 6.1k stars) and API Design Principles (jh941213/my-cc-harness, 126 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Molecular Targets 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.