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Ncbi Clinicaltables Skill for Codex

Submit compact Clinical Tables NCBI Gene requests for human gene lookup, pagination, and field selection. Use when a user wants concise autocomplete-style human gene search results

2k tokens
context cost
the whole folder, loaded on every use
3
files
ships runnable scripts
0
copies elsewhere
how many repositories repackaged it
4915
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/openai/plugins --skill ncbi-clinicaltables-skill

What comes with it

5 676 bytes besides the instruction
agents/openai.yaml
scripts/ncbi_gene_clinicaltables.py

The instruction itself

6 sections, as written by the author

Operating rules

  • Use scripts/ncbi_gene_clinicaltables.py for all Clinical Tables gene searches.
  • The script accepts max_items; for search pages, start with count=10 and max_items=10.
  • Use params for endpoint options like df, ef, sf, q, offset, and count.
  • Prefer ncbi-entrez-skill when the user wants general Entrez Gene records rather than autocomplete/search rows.
  • Page with offset instead of asking for large pulls.
  • Re-run requests in long conversations instead of relying on older tool output.
  • Treat displayed ... in tool previews as UI truncation, not literal request content.
  • If the user asks for the full payload, set save_raw=true and report the saved file path instead of pasting large response arrays into chat.

Execution behavior

  • Return concise markdown summaries from the script JSON by default.
  • Return the JSON verbatim only if the user explicitly asks for machine-readable output.
  • Use terms for the primary search text.
  • Keep count modest and page with offset instead of pulling large result sets at once.

Input

  • Read one JSON object from stdin.
  • Required field: terms
  • Optional fields: params, max_items, max_depth, timeout_sec, save_raw, raw_output_path
  • Common NCBI Gene patterns:
  • {"terms":"TP53","params":{"df":"GeneID,Symbol,description"}}
  • {"terms":"BRCA","params":{"count":10,"df":"chromosome,GeneID,Symbol,description,type_of_gene"},"max_items":10}
  • {"terms":"kinase","params":{"count":10,"offset":10,"df":"GeneID,Symbol,description"},"max_items":10}

Output

  • Success returns ok, source, terms, total, codes, display_rows, extra_fields, and truncation metadata.
  • Use raw_output_path when save_raw=true.
  • Failure returns ok=false with error.code and error.message.

Execution

echo '{"terms":"TP53","params":{"count":10,"df":"GeneID,Symbol,description"},"max_items":10}' | python scripts/ncbi_gene_clinicaltables.py

References

  • No additional runtime references are required; keep the import package limited to this file and scripts/ncbi_gene_clinicaltables.py.

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How to use it

Copy the folder

Take openai/ncbi-clinicaltables-skill from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.