Agent skill

Kegg Database

by jaechang-hits in jaechang-hits/SciAgent-Skills

KEGG REST API (academic only). An agent skill from jaechang-hits/SciAgent-Skills.

Custom licenceAuto-check passedResearch & Science

Install Kegg Database

skills CLI
$ npx skills add jaechang-hits/SciAgent-Skills --skill kegg-database -a claude-code

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

GitHub CLI
$ gh skill install jaechang-hits/SciAgent-Skills kegg-database --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/jaechang-hits/SciAgent-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/genomics-bioinformatics/databases/kegg-database .claude/skills/kegg-database && 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
kegg-database
GitHub stars
371
Used in
1 other repo
Token cost
~4.6k tokens
SKILL.md length
949 words
Files
1
Skills in repo
169
Repo updated
First seen
Licence
Custom licence

At a glance

KEGG REST API (academic only). An agent skill from jaechang-hits/SciAgent-Skills.

  • Works in 7 steps: Database Information — kegg_info → Listing Entries — kegg_list → Keyword Search — kegg_find → …
  • Tasks that involve Bioinformatics
  • SKILL.md covers Overview, When to Use, Prerequisites and Quick Start, plus 9 more sections
  • Calls pip; reaches rest.kegg.jp

What it does

Kegg Database is an agent skill from jaechang-hits/SciAgent-Skills. KEGG REST API (academic only). Pathways, genes, compounds, enzymes, diseases, drugs via 7 ops (info/list/find/get/conv/link/ddi). ID conversion (NCBI/UniProt/PubChem). Use bioservices for multi-DB Python.

Its SKILL.md is about 4.6k 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, covering Bioinformatics and REST APIs. It works with UniProt, Python and NCBI. The repository describes itself as: 197 bioinformatics & life science skills for Claude Code and AI agents — BixBench 92.0% accuracy. RNA-seq, single-cell, drug discovery, proteomics, and more. Powers OmicsHorizon.

When your agent uses it

  • Tasks that involve Bioinformatics
  • Tasks that involve REST APIs

Example prompts

  • “/kegg-database”

Requirements

  • Python 3

Workflow steps

7 steps, taken from the step headings in SKILL.md.

  1. Database Information — kegg_info
  2. Listing Entries — kegg_list
  3. Keyword Search — kegg_find
  4. Entry Retrieval — kegg_get
  5. ID Conversion — kegg_conv
  6. Cross-Referencing — kegg_link
  7. Drug-Drug Interactions — kegg_ddi

What it can do on your machine

Read from SKILL.md and the folder at commit 82c862c. 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:

    • pip

    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:

    • rest.kegg.jp

    Also links to:

    • kegg.jp

    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

Kegg Database loads about 4.6k tokens when it runs. Until then it costs about 55 tokens; SKILL.md has 949 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~55
When it runs · the whole SKILL.md, loaded when a task matches
~4.6k

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

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 949 words (~4,586 tokens).

“KEGG (Kyoto Encyclopedia of Genes and Genomes) is a comprehensive bioinformatics resource for biological pathway analysis, molecular interaction networks, and cross-database ID conversion. Access is via a direct REST API with no authentication — all operations use simple HTTP GET…”

— opening of SKILL.md by jaechang-hits, Custom licence
name
kegg-database
license
Non-academic use of KEGG requires a commercial license

Read the full SKILL.md on GitHub

Files

Just SKILL.md in skills/genomics-bioinformatics/databases/kegg-database of jaechang-hits/SciAgent-Skills.

Open the folder on GitHubat commit 82c862c

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 jaechang-hits/SciAgent-Skills, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Kegg Database 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.

Kegg Database compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Kegg Database this skilljaechang-hits/SciAgent-Skills3711 repos~4.6kAutomated safety check: PassCustom licence
UniProt Database Accessdavila7/claude-code-templates32k14 repos~1.7kAutomated safety check: PassMIT
Biopythonlamm-mit/scienceclaw244—~3.9kAutomated safety check: PassApache-2.0
Ggetaipoch/medical-research-skills2k—~816Automated safety check: PassMIT
Bio Ensembl RESTGPTomics/bioSkills1.2k2 repos~3.6kAutomated safety check: PassMIT
ETE Toolkit for Phylogenetic Treesdavila7/claude-code-templates32k11 repos~4.5kAutomated safety check: NotesMIT

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Questions about Kegg Database

What does Kegg Database do?

KEGG REST API (academic only). An agent skill from jaechang-hits/SciAgent-Skills. Kegg Database is an agent skill from jaechang-hits/SciAgent-Skills. KEGG REST API (academic only).

When should I use Kegg Database?

Kegg Database fits situations like: tasks that involve Bioinformatics; tasks that involve REST APIs.

How do I install Kegg Database in Claude Code?

Run `npx skills add jaechang-hits/SciAgent-Skills --skill kegg-database -a claude-code`. Or copy the skill folder (skills/genomics-bioinformatics/databases/kegg-database in jaechang-hits/SciAgent-Skills) into .claude/skills/kegg-database in your project. Claude Code loads it when a task matches its description.

How do I install Kegg Database in Codex?

Run `npx skills add jaechang-hits/SciAgent-Skills --skill kegg-database -a codex`. Or copy the skill folder (skills/genomics-bioinformatics/databases/kegg-database in jaechang-hits/SciAgent-Skills) into .agents/skills/kegg-database in your project. Codex loads it when a task matches its description.

Can I use Kegg Database 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 jaechang-hits/SciAgent-Skills --skill kegg-database -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/kegg-database, .gemini/skills/kegg-database, .github/skills/kegg-database and .opencode/skills/kegg-database in your project.

What does Kegg Database need to run?

Going by SKILL.md and its folder, Kegg Database needs the command-line tools its instructions call (pip). Our summary lists: Python 3.

Does Kegg Database access the network?

SKILL.md names 2 domains. In commands or code: rest.kegg.jp; the agent is likely to contact it when it follows the instructions. As links in the text: kegg.jp. This is read from the text; nothing was executed.

Is Kegg Database 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 Kegg Database use?

Kegg Database has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Kegg Database use?

About 4.6k tokens (SKILL.md is roughly 18k 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 Kegg Database?

Skills that share tags, products or a category with Kegg Database: UniProt Database Access (davila7/claude-code-templates, 32k stars), Biopython (lamm-mit/scienceclaw, 244 stars), Gget (aipoch/medical-research-skills, 2k stars) and Bio Ensembl REST (GPTomics/bioSkills, 1.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Kegg Database?

jaechang-hits (a GitHub user) maintains it in jaechang-hits/SciAgent-Skills, which has 371 GitHub stars. The repository holds 169 skills in this directory. The repository was last updated on September 29, 2026.

Source: jaechang-hits/SciAgent-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.