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 Aidenwu0209/PaddleOCR-Skills --skill paddleocr-doc-parsinggit clone --depth 1 https://github.com/Aidenwu0209/PaddleOCR-SkillsWrote 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/aidenwu0209/paddleocr-skills/paddleocr-doc-parsing)<a href="https://agentmods.dev/skills/aidenwu0209/paddleocr-skills/paddleocr-doc-parsing"><img src="https://agentmods.dev/badge/skills/aidenwu0209/paddleocr-skills/paddleocr-doc-parsing/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/aidenwu0209/paddleocr-skills/paddleocr-doc-parsing"><img src="https://agentmods.dev/badge/skills/aidenwu0209/paddleocr-skills/paddleocr-doc-parsing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk fail
- NVIDIA SkillSpector pass
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 | $0.00140 | $0.03872 |
| Opus 5 | $0.00070 | $0.01936 |
| Sonnet 5 | $0.00028 | $0.00774 |
| Haiku 4.5 | $0.00014 | $0.00387 |
Grade A, and why
paddleocr-doc-parsing 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 11d 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 — 394 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PaddleOCR Document Parsing Skill
When to Use This Skill
Trigger keywords (routing): Bilingual trigger terms (Chinese and English) are listed in the YAML description above—use that field for discovery and routing.
Use this skill for:
- Documents with tables (invoices, financial reports, spreadsheets)
- Documents with mathematical formulas (academic papers, scientific documents)
- Documents with charts and diagrams
- Multi-column layouts (newspapers, magazines, brochures)
- Complex document structures requiring layout analysis
- Any document requiring structured understanding
Do not use for:
- Simple text-only extraction
- Quick OCR tasks where speed is critical
- Screenshots or simple images with clear text
Installation
Scripts declare their dependencies inline (PEP 723). No separate install step is needed — uv resolves dependencies automatically:
uv run scripts/layout_caller.py --help
How to Use This Skill
Working directory: All
uv run scripts/...commands below should be run from this skill's root directory (the directory containing this SKILL.md file).
Basic Workflow
-
Identify the input source:
- User provides URL: Use the
--file-urlparameter - User provides local file path: Use the
--file-pathparameter
- User provides URL: Use the
-
Execute document parsing:
uv run scripts/layout_caller.py --file-url "URL provided by user" --prettyOr for local files:
uv run scripts/layout_caller.py --file-path "file path" --prettyOptional: explicitly set file type:
uv run scripts/layout_caller.py --file-url "URL provided by user" --file-type 0 --pretty--file-type 0: PDF--file-type 1: image- If omitted, the type is auto-detected from the file extension. For local files, a recognized extension (
.pdf,.png,.jpg,.jpeg,.bmp,.tiff,.tif,.webp) is required; otherwise pass--file-typeexplicitly. For URLs with unrecognized extensions, the service attempts inference.
What ships with it
6 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.
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.
- 11d ago First seen · 394 lines · 140 tokens per session scan A 10e4e3cd479a
paddleocr-doc-parsing is a skill published in the GitHub repository Aidenwu0209/PaddleOCR-Skills (34 stars, last pushed 27d ago), licensed Apache-2.0. It adds 140 tokens to every session and 3,872 once invoked, about $0.0007 per session on Opus 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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