literature

literature is a skill for Claude Code, Codex from TianGzlab/OmicsClaw. It costs 57 tokens per session (1,015 once invoked), scanned A, original, Apache-2.0.

A scientific-literature extraction tool for finding dataset details in a paper or other research reference. GEO is a public repository of gene-expression and other biological datasets; the tool can extract its dataset identifiers and related metadata.

In plain words
What is it for?
Use it with a PDF, URL, DOI, PubMed ID, or text to identify GEO accessions, collect metadata, download datasets, and create a handoff for later omics analysis.
Why use it?
It saves researchers from manually searching papers and repositories for the data needed in a downstream biological analysis. It can also download the referenced GEO data when requested.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it with a PDF, URL, DOI, PubMed ID, or text to identify GEO accessions, collect metadata, download datasets, and create a handoff for later omics analysis.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/tiangzlab/omicsclaw/literature
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add TianGzlab/OmicsClaw --skill literature
Clone the repo
git clone --depth 1 https://github.com/TianGzlab/OmicsClaw

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for literature

README.md
[![agentmods](https://agentmods.dev/badge/skills/tiangzlab/omicsclaw/literature/github.svg)](https://agentmods.dev/skills/tiangzlab/omicsclaw/literature)
Your own site
<a href="https://agentmods.dev/skills/tiangzlab/omicsclaw/literature"><img src="https://agentmods.dev/badge/skills/tiangzlab/omicsclaw/literature/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for literature

Your own site · 80×15
<a href="https://agentmods.dev/skills/tiangzlab/omicsclaw/literature"><img src="https://agentmods.dev/badge/skills/tiangzlab/omicsclaw/literature.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 57 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,015 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Rogue Agent · line 3
    Skill modifies its own code, configuration, or behavior at runtime. Self-modification enables an agent to escalate privileges, disable safety constraints, or install persistent backdoors.
    Fix: Prevent the skill from modifying its own code, SKILL.md, or configuration files. Treat skill files as read-only at runtime.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00057 $0.01015
Opus 5.5 $0.00023 $0.00406
Sonnet 5.5 $0.00011 $0.00203
Haiku 4.5 $0.00006 $0.00102

Measured 17d ago against content hash b4b81702638c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

literature scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 17d ago.

The scan reads SKILL.md. This mod also ships 12 executable files (_api.py, _lib/__init__.py, _lib/extractor.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/literature/SKILL.md · 122 lines

How it starts

The opening of the file, as written. The whole thing — 122 lines — stays where its author put it; the contents beside it link to each section on GitHub.

literature

When to use

Extract GEO accessions and heuristic study metadata from paper text. Read local papers explicitly with read_document or fetch remote papers with fetch_text. Skip when the dataset is already in hand.

Use from a step

import pandas as pd
from skills._sdk.notebook import load_skill, read_input, write_output
library = load_skill('literature')
text = read_input('paper.txt', reader=library.read_document)
result = library.extract(text)
write_output(result, 'tables/result.csv')

examples/example_step.py runs offline and supports fresh-kernel replay. Pure computations return objects; CLI and steps own writes.

API

extract(data)

Extract GEO accessions and heuristic study metadata from text.

:param data: Local paper text; URLs and paths are treated as text, never fetched. :returns: A DataFrame of kind/accession pairs, with metadata in attrs['run_info']. :raises ValueError: data is empty or not a string.

methodology(data)

Extract stated numeric method parameters with exact source spans.

:param data: Paper text containing supported parameter names and numeric values. :returns: A DataFrame with param, operator, value, quote, start and end columns. :raises TypeError: data is not text.

read_document(data)

Read a local PDF or UTF-8 text file; use as reader= in read_input.

:param data: Local Path or path string; no network requests are made. :returns: Extracted text with empty PDF pages omitted. :raises ImportError: Install pypdf with install_skill_deps for PDFs. :raises OSError: The file cannot be read.

fetch_text(data, *, input_type='url')

Fetch article text explicitly from a URL, DOI or PubMed reference.

:param data: Reference sent to the remote service; results may change between requests. :param input_type: Default url; doi and pubmed resolve their respective endpoints. :returns: HTML/XML with tags removed and whitespace collapsed, as in the CLI. :raises ImportError: Install requests with install_skill_deps if unavailable. :raises ValueError: The reference type or URL scheme is unsupported. :raises Exception: HTTP and network errors propagate instead of becoming article text.

Read the full file on GitHub · 122 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 17d ago Changed · +22 lines · -1 tokens per session b4b81702638c
  2. 1mo ago First seen · 100 lines · 58 tokens per session scan A a5ae01bb5336

Subscribe to this mod's changes

literature is a skill published in the GitHub repository TianGzlab/OmicsClaw (161 stars, last pushed 18d ago), licensed Apache-2.0. It adds 57 tokens to every session and 1,015 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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