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-text-recognitiongit 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-text-recognition)<a href="https://agentmods.dev/skills/aidenwu0209/paddleocr-skills/paddleocr-text-recognition"><img src="https://agentmods.dev/badge/skills/aidenwu0209/paddleocr-skills/paddleocr-text-recognition/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-text-recognition"><img src="https://agentmods.dev/badge/skills/aidenwu0209/paddleocr-skills/paddleocr-text-recognition.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
- 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 | $0.00125 | $0.03107 |
| Opus 5 | $0.00063 | $0.01554 |
| Sonnet 5 | $0.00025 | $0.00621 |
| Haiku 4.5 | $0.00013 | $0.00311 |
Grade A, and why
paddleocr-text-recognition 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 — 318 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PaddleOCR Text Recognition 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:
- Extract text from images (screenshots, photos, scans)
- Extract text from PDFs or document images when the goal is line/box-level text, not recovering table grids, formulas, or full reading-order layout
- Extract text from URLs or local files that point to images/PDFs
Do not use for:
- Plain text files, code files, or markdown documents that can be read directly as text
- Documents with tables, formulas, charts, or complex layouts — use Document Parsing instead
- Tasks that do not involve image-to-text conversion
Installation
Scripts declare their dependencies inline (PEP 723). No separate install step is needed — uv resolves dependencies automatically:
uv run scripts/ocr_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 OCR:
uv run scripts/ocr_caller.py --file-url "URL provided by user" --prettyOr for local files:
uv run scripts/ocr_caller.py --file-path "file path" --prettyPerformance note: Parsing time scales with document complexity. Single-page images typically complete in 1-3 seconds; large PDFs (50+ pages) may take several minutes. Allow adequate time before assuming a timeout.
Default behavior: save raw JSON to a temp file:
- If
--outputis omitted, the script saves automatically under the system temp directory - Default path pattern:
<system-temp>/paddleocr/text-recognition/results/result_<timestamp>_<id>.json - If
--outputis provided, it overrides the default temp-file destination - If
--stdoutis provided, JSON is printed to stdout and no file is saved - In save mode, the script prints the absolute saved path on stderr:
Result saved to: /absolute/path/... - In default/custom save mode, read and parse the saved JSON file before responding
- Use
--stdoutonly when you explicitly want to skip file persistence
- If
What ships with it
4 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 · 318 lines · 125 tokens per session scan A 1143eee7d2eb
paddleocr-text-recognition is a skill published in the GitHub repository Aidenwu0209/PaddleOCR-Skills (34 stars, last pushed 26d ago), licensed Apache-2.0. It adds 125 tokens to every session and 3,107 once invoked, about $0.0006 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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ade
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