sci-data-extractor SKILL.md skillA
sci-data-extractor from pantheon-org/tekhne is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add pantheon-org/tekhne/sci-data-extractor@git:20260721.cca71b6Pins git:20260721.cca71b6 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- pantheon-org/tekhne
- Path
skills/documentation/research/sci-data-extractor/SKILL.md- Versions recorded
- 2
- Latest version
- git:20260721.cca71b6, committed Jul 21, 2026
- First version recorded
- Apr 10, 2026
- Size
- 7,084 bytes
- Repository stars
- 10
- License
- MIT
Extract structured data from scientific literature PDFs using AI-powered OCR and LLM analysis. Supports enzyme kinetics, experimental results, and literature review templates. Use when researchers need to parse tables, charts, or text from paper PDFs into Markdown or CSV. Triggers: extract data from PDF, scientific data extraction, parse paper tables, enzyme kinetics extraction, batch PDF extraction, literature data, research data from paper, OCR scientific paper, convert PDF to structured data.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Sci-Data-Extractor AI-powered tool for extracting structured data from scientific literature PDFs. Converts tables, figures, and text from research papers into Markdown tables or CSV files using PyMuPDF (free) or Mathpix OCR (high-precision) plus an LLM extraction layer. ## When to Use - Extracting enzyme kinetics parameters (Km, Kcat, Kcat/Km) from biochemistry papers - Converting experimental result tables from PDFs to structured CSV or Markdown - Building a literature review dataset from multiple paper PDFs - Batch-processing a folder of PDFs into a unified dataset - Parsing complex tables or chart data points that require AI assistance ## When Not to Use - The paper is already in a machine-readable format (XML, JSON, HTML) — parse it directly - You only need the abstract or title — use `semantic-scholar-search` instead - The PDF is scanned at low resolution with no embedded text and Mathpix is unavailable — results will be unreliable - You need real-time citation counts or DOI resolution — use `semantic-scholar-search` ## Mindset Data extraction from PDFs is a pipeline with multiple failure points — always validate each stage. …
Read the whole file at its exact version.
How to install
mdr add pantheon-org/tekhne/sci-data-extractor@sha256:ea35d1cd02449abcThe line at the top of this page pins the label git:20260721.cca71b6, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_qxrmnuognekyudnc)
1 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 2 versions of this file, between Apr 10, 2026 and Jul 21, 2026, about one every 103 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260721.cca71b6 latest | 2026-07-21 | cca71b6 | 7,084 B | A | view · diff |
| git:20260410.266faba | 2026-04-10 | 266faba | 7,043 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (7084 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
pantheon-org/tekhne · 10 stars · license MIT · pushed 2026-10-21 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_qxrmnuognekyudnc GET https://markdownregistry.com/api/v1/resolve?ref=pantheon-org/tekhne/sci-data-extractor GET https://markdownregistry.com/api/v1/blob/ea35d1cd02449abcf7b15b8e9519718891fd5c18a47ed9969b62707e80bf2fbd
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.