Agent skill

Drug Targets

by exon-research in exon-research/genomi

Causal drug-target and mechanism gene prioritization from public source records, drugs, drug classes, mechanisms, and candidate gene lists.

Apache-2.0Auto-check passedProduct & Project Management

Install Drug Targets

skills CLI
$ npx skills add exon-research/genomi --skill drug-targets -a claude-code

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

GitHub CLI
$ gh skill install exon-research/genomi drug-targets --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/exon-research/genomi.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/drug-targets .claude/skills/drug-targets && 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
drug-targets
GitHub stars
484
Token cost
~1.2k tokens
SKILL.md length
498 words
Files
1
Skills in repo
20
Repo updated
First seen
Licence
Apache-2.0

At a glance

Causal drug-target and mechanism gene prioritization from public source records, drugs, drug classes, mechanisms, and candidate gene lists.

  • Works in 4 steps: phenotype.retrieve_disease_drug_targets… → phenotype.compare_drug_target_evidence… → If source support is missing, use… → …
  • Tasks that involve Prioritization frameworks
  • SKILL.md covers Contract, Tool Flow, Source Records and Answering, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Drug Targets is an agent skill from exon-research/genomi. Causal drug-target and mechanism gene prioritization from public source records, drugs, drug classes, mechanisms, and candidate gene lists.

Its SKILL.md is about 1.2k 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 Product & Project Management, covering Prioritization frameworks. The repository describes itself as: Local-first, open-source Claude Science alternative, before Claude Science is a thing. Turn your AI agent into personal DNA expert. The licence is Apache-2.0.

When your agent uses it

  • Tasks that involve Prioritization frameworks

Example prompts

  • “/drug-targets”

Workflow steps

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

  1. phenotype.retrieve_disease_drug_targets retrieves Open Targets clinical
  2. phenotype.compare_drug_target_evidence compares candidate genes against direct
  3. If source support is missing, use research.list_sources to choose direct target
  4. Re-run the same selected tool after recording reviewed findings.

What it can do on your machine

Read from SKILL.md and the folder at commit 1df4f5b. 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

    No scripts in the folder and no shell commands in SKILL.md.

    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

Drug Targets loads about 1.2k tokens when it runs. Until then it costs about 38 tokens; SKILL.md has 498 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~38
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k

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 exon-research/genomi at commit 1df4f5b, republished under its Apache-2.0 licence (© exon-research). 498 words, ~1,214 tokens.

Download SKILL.mdSave it as .claude/skills/drug-targets/SKILL.md (or your agent's skills folder).
name
drug-targets
description
Causal drug-target and mechanism gene prioritization from public source records, drugs, drug classes, mechanisms, and candidate gene lists.
tools
phenotype.retrieve_disease_drug_targets, phenotype.compare_drug_target_evidence, research.list_sources, research.record, research.query, research.search
mutating
true

Drug Targets

Use this skill for disease-scoped clinical drug-target retrieval, direct drug-target records, PharmaProjects-style target context, ChEMBL mechanism genes, DrugBank target context, or candidate-gene review for a drug, drug class, or mechanism.

Contract

  • Direct drug-target or mechanism evidence outranks target-disease association scores and GWAS-style association.
  • ChEMBL, DrugBank, and PharmaProjects-style records can support direct target claims when the source supports both the gene and the drug, class, mechanism, or indication context.
  • Open Targets association context is useful for review; direct drug-target evidence comes from source records that support the drug, class, or mechanism relationship.
  • Open Targets disease drug and clinical candidate records can retrieve disease-scoped clinical drug-target genes when the drug target comes from a mechanism-of-action row.
  • Treat returned rankings as source evidence. The agent decides whether the drug-target prior matches the question. When using cross-source comparison, use prior_fit before reading a panel as task-relevant and audit decision_evidence before answering.

Tool Flow

  1. phenotype.retrieve_disease_drug_targets retrieves Open Targets clinical drug candidate target genes for a supplied disease anchor.
  2. phenotype.compare_drug_target_evidence compares candidate genes against direct drug-side context: drug, drug class, or mechanism.
  3. If source support is missing, use research.list_sources to choose direct target sources, review them, and store narrow findings with research.record.
  4. Re-run the same selected tool after recording reviewed findings.

Example:

  • phenotype.retrieve_disease_drug_targets with {"disease":"asthma","genes":["ADRB2","IL13"]}
  • phenotype.compare_drug_target_evidence with {"drug_class":"beta agonist","phenotype":"asthma","genes":["ADRB2","IL13"],"source_records":[{"genes":["ADRB2"],"drug_class":"beta agonist","verified_fields":{"genes":["ADRB2"],"drug_class":"beta agonist"},"support_spans":[{"field":"genes","text":"source-backed ADRB2 text"}]}]}

Source Records

Prefer source records with:

  • genes: candidate target genes named by the source.
  • drug, drug_class, indication, or mechanism.
  • source_title, source_url, and source_type.
  • finding or text: short source-backed finding.
  • verified_fields and support_spans showing where the source supports the gene and drug-target or mechanism context.

Answering

Use a direct gene-symbol answer only when reviewed evidence supports the drug-target or mechanism relationship requested by the question. Otherwise state the source gap and summarize the strongest reviewed evidence without presenting it as the final target.

Show full SKILL.md (193 more words)Show less

Cross-Capability Synthesis

A scope-limited result from this capability is not a final user-facing answer when other Genomi capabilities can contribute orthogonal evidence to the same question. Returning "cannot answer" while applicable capabilities remain unexamined is a host-agent failure mode.

Tools

phenotype.compare_drug_target_evidence

Compare candidate genes using direct drug-target or mechanism evidence only.

Use when: Returns direct drug-target, target-mechanism, ChEMBL, DrugBank, or PharmaProjects evidence for candidate genes.

Why necessary: Drug-target questions require direct target/mechanism evidence, which is distinct from disease association evidence.

Result semantics: Returns source-local drug-target evidence only; association-only evidence cannot create direct target support.

phenotype.retrieve_disease_drug_targets

Retrieve disease-scoped clinical drug-target genes from Open Targets drug candidate records.

Use when: Returns Open Targets clinical drug candidate target genes for a supplied disease anchor, with optional gene_membership projection for supplied candidate genes.

Why necessary: Clinical drug-target records answer therapeutic-target membership without implying causal genetics or treatment efficacy.

Result semantics: Returns disease-scoped clinical drug-target records and source-local ordering; the host agent decides how they apply. mode='gene_membership' projects the same source records into per-gene membership booleans and highest observed phase for supplied genes. Does not ingest agent-supplied evidence and does not infer treatment efficacy or final causal-gene answers.

© exon-research, 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 skills/drug-targets of exon-research/genomi.

Open the folder on GitHubat commit 1df4f5b

Compare with similar skills

Drug Targets 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.

Drug Targets compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Drug Targets this skillexon-research/genomi484—~1.2kAutomated safety check: PassApache-2.0
Agile Product Owneralirezarezvani/claude-skills28k3 repos~3.2kAutomated safety check: PassMIT
Prioritization Framework Advisordeanpeters/Product-Manager-Skills7.2k2 repos~4.2kAutomated safety check: PassCustom licence
Strategic Roadmap Planningdeanpeters/Product-Manager-Skills7.2k2 repos~4.7kAutomated safety check: PassCustom licence
Idea Validatoraakashg/pm-claude-skills112—~2.3kAutomated safety check: PassMIT
Triagejoa23/linear-cli144—~699Automated safety check: PassMIT

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Questions about Drug Targets

What does Drug Targets do?

Causal drug-target and mechanism gene prioritization from public source records, drugs, drug classes, mechanisms, and candidate gene lists. Drug Targets is an agent skill from exon-research/genomi. Causal drug-target and mechanism gene prioritization from public source records, drugs, drug classes, mechanisms, and candidate gene lists.

When should I use Drug Targets?

Drug Targets fits situations like: tasks that involve Prioritization frameworks.

How do I install Drug Targets in Claude Code?

Run `npx skills add exon-research/genomi --skill drug-targets -a claude-code`. Or copy the skill folder (skills/drug-targets in exon-research/genomi) into .claude/skills/drug-targets in your project. Claude Code loads it when a task matches its description.

How do I install Drug Targets in Codex?

Run `npx skills add exon-research/genomi --skill drug-targets -a codex`. Or copy the skill folder (skills/drug-targets in exon-research/genomi) into .agents/skills/drug-targets in your project. Codex loads it when a task matches its description.

Can I use Drug Targets 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 exon-research/genomi --skill drug-targets -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/drug-targets, .gemini/skills/drug-targets, .github/skills/drug-targets and .opencode/skills/drug-targets in your project.

What does Drug Targets need to run?

SKILL.md names no scripts, command-line tools or credentials: Drug Targets is instructions for the agent only.

Does Drug Targets 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 Drug Targets 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 Drug Targets use?

Drug Targets 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 Drug Targets use?

About 1.2k tokens (SKILL.md is roughly 4.9k 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 Drug Targets?

Skills that share tags, products or a category with Drug Targets: Agile Product Owner (alirezarezvani/claude-skills, 28k stars), Prioritization Framework Advisor (deanpeters/Product-Manager-Skills, 7.2k stars), Strategic Roadmap Planning (deanpeters/Product-Manager-Skills, 7.2k stars) and Idea Validator (aakashg/pm-claude-skills, 112 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Drug Targets?

exon-research (a GitHub organization) maintains it in exon-research/genomi, which has 484 GitHub stars. The repository holds 20 skills in this directory. The repository was last updated on August 31, 2026.

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