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.
npx skills add TianGzlab/OmicsClaw --skill literaturegit clone --depth 1 https://github.com/TianGzlab/OmicsClawWrote 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.
[](https://agentmods.dev/skills/tiangzlab/omicsclaw/literature)<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.
<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>- NVIDIA SkillSpector warn
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.
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.
| Model | Per session | Once 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 |
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.
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.
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.
What ships with it
17 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- _api.py 5.2 KB runs code
- _lib/__init__.py 44 B runs code
- _lib/extractor.py 11 KB runs code
- _lib/input_kind.py 615 B runs code
- core/__init__.py 39 B runs code
- core/downloader.py 5.0 KB runs code
- core/extractor.py 270 B runs code
- core/parser.py 3.6 KB runs code
- examples/example_step.py 656 B runs code
- INDEX.md 927 B
- literature_parse.py 9.2 KB runs code
- references/methodology.md 685 B
- references/output_contract.md 391 B
- references/parameters.md 487 B
- requirements.txt 53 B
- tests/test_api.py 1.4 KB runs code
- tests/test_cli.py 930 B runs code
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.
- 17d ago Changed · +22 lines · -1 tokens per session b4b81702638c
- 1mo ago First seen · 100 lines · 58 tokens per session scan A a5ae01bb5336
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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Local document and PDF parsing that returns spatial text with bounding boxes. Use for extracting text from PDFs, DOCX, Office files, and images; running OCR on scans; producing layout-preserved JSON for RAG; batch-ingesting folders of papers; or rendering pages to PNG for multimodal agents. Distinguishing capabilities…