pdf-analysis SKILL.md skillA
pdf-analysis from opensensenova/sensenova-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add opensensenova/sensenova-skills/pdf-analysis@git:20260604.f32b39dPins git:20260604.f32b39d in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- opensensenova/sensenova-skills
- Path
skills/sn-da-non-spreadsheet-analysis/capability/pdf-analysis/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260604.f32b39d, committed Jun 4, 2026
- Size
- 10,165 bytes
- Repository stars
- 6,031
- License
- MIT
PDF 文档解析。自动区分文字型 PDF 与扫描型 PDF，覆盖：文本/表格提取、多页全量扫描、嵌入图表 caption、单位感知数值计算。.
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
# PDF Analysis
## Step 0 — Detect PDF type (text vs scanned)
**Critical first step**: determine whether the PDF has extractable text or is a scanned image.
Never skip this — using the wrong parser wastes time and produces empty results.
```python
import fitz # PyMuPDF
def detect_pdf_type(pdf_path, sample_pages=3):
"""
Returns 'text' if PDF has extractable text, 'scanned' if image-based.
Checks first N pages (or all if fewer).
"""
doc = fitz.open(pdf_path)
total_chars = 0
pages_checked = min(sample_pages, len(doc))
for i in range(pages_checked):
page = doc[i]
text = page.get_text("text")
total_chars += len(text.strip())
doc.close()
avg_chars = total_chars / max(pages_checked, 1)
pdf_type = 'text' if avg_chars > 50 else 'scanned'
print(f"PDF type: {pdf_type} (avg {avg_chars:.0f} chars/page, checked {pages_checked} pages)")
return pdf_type
```
---
## Core Method 1: Text PDF — Full Text Extraction (ALL pages)
```python
import fitz
def extract_text_pdf(pdf_path):
"""Extract text from all pages of a text-based PDF."""
doc = fitz.open(pdf_path)
total_pages = len(doc)
…Read the whole file at its exact version.
How to install
mdr add opensensenova/sensenova-skills/pdf-analysis@sha256:24a006cb7e92116aThe line at the top of this page pins the label git:20260604.f32b39d, 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_sep6ysdzhke2rrtx)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Jun 4, 2026.
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 (10165 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
opensensenova/sensenova-skills · 6,031 stars · license MIT · pushed 2026-11-03 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_sep6ysdzhke2rrtx GET https://markdownregistry.com/api/v1/resolve?ref=opensensenova/sensenova-skills/pdf-analysis GET https://markdownregistry.com/api/v1/blob/24a006cb7e92116adc4b309a404b7480730e1395d7cacdb7658d295ef50f9cbd
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.
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