Agent skill

Biodbnet API

by aipoch in aipoch/medical-research-skills

Access bioDBnet REST services for biological identifier conversion, pathway retrieval, and ortholog mapping.

MITAuto-check passedResearch & Science

Install Biodbnet API

skills CLI
$ npx skills add aipoch/medical-research-skills --skill biodbnet-api -a claude-code

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

GitHub CLI
$ gh skill install aipoch/medical-research-skills biodbnet-api --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/aipoch/medical-research-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/scientific-skills/Other/biodbnet-api .claude/skills/biodbnet-api && 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
biodbnet-api
GitHub stars
2k
Token cost
~1.5k tokens
SKILL.md length
709 words
Files
4 (incl. scripts, references)
Skills in repo
567
Repo updated
First seen
Licence
MIT

At a glance

Access bioDBnet REST services for biological identifier conversion, pathway retrieval, and ortholog mapping.

  • Works in 4 steps: Confirm the user input, output path, and… → Edit the in-file CONFIG block or… → Run python scripts/biodbnet_client.py… → …
  • You need to convert gene/protein IDs
  • SKILL.md covers When to Use, Key Features, Dependencies and Example Usage, plus 10 more sections
  • Runs Python scripts from its folder; calls python

What it does

Biodbnet API is an agent skill from aipoch/medical-research-skills. Access bioDBnet REST services for biological identifier conversion, pathway retrieval, and ortholog mapping. Use when you need to convert gene/protein IDs, find pathways, or retrieve biological annotations via bioDBnet.

Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including scripts and reference files (for example `biodbnet-api_audit_result_v2.json`, `references/api_methods.md` and `scripts/biodbnet_client.py`).

It sits in Research & Science. The repository describes itself as: Hundreds of agent skills for medical research, including protocol design, data analysis, evidence insights, and academic writing. The licence is MIT.

When your agent uses it

  • You need to convert gene/protein IDs
  • Retrieve biological annotations via bioDBnet

Example prompts

  • “/biodbnet-api”

Requirements

  • Python 3

Workflow steps

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

  1. Confirm the user input, output path, and any required config values.
  2. Edit the in-file CONFIG block or documented parameters if the script uses fixed settings.
  3. Run python scripts/biodbnet_client.py with the validated inputs.
  4. Review the generated output and return the final artifact with any assumptions called out.

What it can do on your machine

Read from SKILL.md and the folder at commit 686e09d. 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 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python

    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

Biodbnet API loads about 1.5k tokens when it runs, and up to ~2.1k if it reads all its reference files. Until then it costs about 58 tokens; SKILL.md has 709 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
~1.5k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.1k

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); the scripts in this folder are not scanned.

SKILL.md

The full file from aipoch/medical-research-skills at commit 686e09d, republished under its MIT licence (© aipoch). 709 words, ~1,543 tokens.

Download SKILL.mdSave it as .claude/skills/biodbnet-api/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
biodbnet-api
description
Access bioDBnet REST services for biological identifier conversion, pathway retrieval, and ortholog mapping. Use when you need to convert gene/protein IDs, find pathways, or retrieve biological annotations via bioDBnet.
license
MIT
author
AIPOCH

Source: https://github.com/aipoch/medical-research-skills

bioDBnet API Skill

This skill provides access to bioDBnet (biological Database network) REST web services. It allows for integrating biological data from multiple databases, converting identifiers, and retrieving pathway or ortholog information.

When to Use

  • Use this skill when the request matches its documented task boundary.
  • Use it when the user can provide the required inputs and expects a structured deliverable.
  • Prefer this skill for repeatable, checklist-driven execution rather than open-ended brainstorming.

Key Features

  • Scope-focused workflow aligned to: Access bioDBnet REST services for biological identifier conversion, pathway retrieval, and ortholog mapping. Use when you need to convert gene/protein IDs, find pathways, or retrieve biological annotations via bioDBnet.
  • Packaged executable path(s): scripts/biodbnet_client.py.
  • Reference material available in references/ for task-specific guidance.
  • Structured execution path designed to keep outputs consistent and reviewable.

Dependencies

  • Python: 3.10+. Repository baseline for current packaged skills.
  • Third-party packages: not explicitly version-pinned in this skill package. Add pinned versions if this skill needs stricter environment control.

Example Usage

See ## Usage above for related details.

bash
cd "20260316/scientific-skills/Others/biodbnet-api"
python -m py_compile scripts/biodbnet_client.py
python scripts/biodbnet_client.py --help

Example run plan:

  1. Confirm the user input, output path, and any required config values.
  2. Edit the in-file CONFIG block or documented parameters if the script uses fixed settings.
  3. Run python scripts/biodbnet_client.py with the validated inputs.
  4. Review the generated output and return the final artifact with any assumptions called out.

Implementation Details

  • Execution model: validate the request, choose the packaged workflow, and produce a bounded deliverable.
  • Input controls: confirm the source files, scope limits, output format, and acceptance criteria before running any script.
  • Primary implementation surface: scripts/biodbnet_client.py.
  • Reference guidance: references/ contains supporting rules, prompts, or checklists.
  • Parameters to clarify first: input path, output path, scope filters, thresholds, and any domain-specific constraints.
  • Output discipline: keep results reproducible, identify assumptions explicitly, and avoid undocumented side effects.

Usage

The core functionality is provided by the scripts/biodbnet_client.py script. This script handles the HTTP requests to the bioDBnet API.

Common Operations
  1. ID Conversion (db2db): Convert identifiers (e.g., Gene Symbol to Affy ID).
  2. Pathway Retrieval (getPathways): Get signaling pathways for a taxon.
  3. Orthologs (dbOrtho): Find orthologs between species.
  4. Annotations (dbAnnot): Retrieve annotations for genes/proteins.

Commands

To use the API, execute the python script with the appropriate method and parameters.

bash
python scripts/biodbnet_client.py --method <method_name> --params <json_params>

See references/api_methods.md for a complete list of supported methods and their parameters.

When Not to Use

  • Do not use this skill when the required source data, identifiers, files, or credentials are missing.
  • Do not use this skill when the user asks for fabricated results, unsupported claims, or out-of-scope conclusions.
  • Do not use this skill when a simpler direct answer is more appropriate than the documented workflow.
Show full SKILL.md (276 more words)Show less

Required Inputs

  • A clearly specified task goal aligned with the documented scope.
  • All required files, identifiers, parameters, or environment variables before execution.
  • Any domain constraints, formatting requirements, and expected output destination if applicable.
  1. Validate the request against the skill boundary and confirm all required inputs are present.
  2. Select the documented execution path and prefer the simplest supported command or procedure.
  3. Produce the expected output using the documented file format, schema, or narrative structure.
  4. Run a final validation pass for completeness, consistency, and safety before returning the result.

Output Contract

  • Return a structured deliverable that is directly usable without reformatting.
  • If a file is produced, prefer a deterministic output name such as biodbnet_api_result.md unless the skill documentation defines a better convention.
  • Include a short validation summary describing what was checked, what assumptions were made, and any remaining limitations.

Validation and Safety Rules

  • Validate required inputs before execution and stop early when mandatory fields or files are missing.
  • Do not fabricate measurements, references, findings, or conclusions that are not supported by the provided source material.
  • Emit a clear warning when credentials, privacy constraints, safety boundaries, or unsupported requests affect the result.
  • Keep the output safe, reproducible, and within the documented scope at all times.

Failure Handling

  • If validation fails, explain the exact missing field, file, or parameter and show the minimum fix required.
  • If an external dependency or script fails, surface the command path, likely cause, and the next recovery step.
  • If partial output is returned, label it clearly and identify which checks could not be completed.

Quick Validation

Run this minimal verification path before full execution when possible:

bash
python scripts/biodbnet_client.py --help

Expected output format:

text
Result file: biodbnet_api_result.md
Validation summary: PASS/FAIL with brief notes
Assumptions: explicit list if any

© aipoch, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 3 other files (scripts, references) in scientific-skills/Other/biodbnet-api of aipoch/medical-research-skills.

  • SKILL.md
  • biodbnet-api_audit_result_v2.json
  • references/api_methods.md
  • scripts/biodbnet_client.py

Open the folder on GitHubat commit 686e09d

Compare with similar skills

Biodbnet API 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.

Biodbnet API compared with similar skills
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Biodbnet API this skillaipoch/medical-research-skills2k—~1.5kAutomated safety check: PassMIT
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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Questions about Biodbnet API

What does Biodbnet API do?

Access bioDBnet REST services for biological identifier conversion, pathway retrieval, and ortholog mapping. Biodbnet API is an agent skill from aipoch/medical-research-skills. Access bioDBnet REST services for biological identifier conversion, pathway retrieval, and ortholog mapping.

When should I use Biodbnet API?

Biodbnet API fits situations like: you need to convert gene/protein IDs; retrieve biological annotations via bioDBnet.

How do I install Biodbnet API in Claude Code?

Run `npx skills add aipoch/medical-research-skills --skill biodbnet-api -a claude-code`. Or copy the skill folder (scientific-skills/Other/biodbnet-api in aipoch/medical-research-skills) into .claude/skills/biodbnet-api in your project. Claude Code loads it when a task matches its description.

How do I install Biodbnet API in Codex?

Run `npx skills add aipoch/medical-research-skills --skill biodbnet-api -a codex`. Or copy the skill folder (scientific-skills/Other/biodbnet-api in aipoch/medical-research-skills) into .agents/skills/biodbnet-api in your project. Codex loads it when a task matches its description.

Can I use Biodbnet API 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 aipoch/medical-research-skills --skill biodbnet-api -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/biodbnet-api, .gemini/skills/biodbnet-api, .github/skills/biodbnet-api and .opencode/skills/biodbnet-api in your project.

What does Biodbnet API need to run?

Going by SKILL.md and its folder, Biodbnet API needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.

Does Biodbnet API 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 Biodbnet API 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Biodbnet API use?

Biodbnet API is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Biodbnet API use?

About 1.5k tokens (SKILL.md is roughly 6.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 514 tokens, read only when the agent opens those files.

What are the alternatives to Biodbnet API?

Skills that share tags, products or a category with Biodbnet API: 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 Biodbnet API?

aipoch (a GitHub organization) maintains it in aipoch/medical-research-skills, which has 1,973 GitHub stars. The repository holds 567 skills in this directory. The repository was last updated on September 17, 2026.

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