openclaw/9penny/general-ocr-struct
9penny/general-ocr-struct/SKILL.md
# General OCR Struct Use this skill to separate OCR recognition from downstream content整理. ## Workflow 1. Run the local OCR script on the image first. 2. Return the raw OCR text before making business interpretations when accuracy matters. 3. If the image is a transaction-detail screenshot, run structuring mode to group rows into fields. 4. Mark uncertain fields explicitly as `待确认`; do not guess missing content. 5. Only after the user confirms recognition quality, use the result for tables, s
$ install --global
skillsauthnpx skillsauth add openclaw/skills 9penny/general-ocr-structInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
Scanners Passed
9
Scanners in report
Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
Skipped
VirusTotalMulti-engine malware detection
50%
Skipped
CrowdStrikeAdvanced threat intelligence
50%
Skipped
OSV-ScannerOpen Source Vulnerability database check
50%
Skipped
OWASP Dep-Check
50%
Last scanned: Apr 20, 2026, 4:59 AM128.9s1 file scanned
SKILL.md
General OCR Struct
Use this skill to separate OCR recognition from downstream content整理.
Workflow
- Run the local OCR script on the image first.
- Return the raw OCR text before making business interpretations when accuracy matters.
- If the image is a transaction-detail screenshot, run structuring mode to group rows into fields.
- Mark uncertain fields explicitly as
待确认; do not guess missing content. - Only after the user confirms recognition quality, use the result for tables, summaries, or documents.
Commands
Raw OCR
python3 scripts/general_ocr.py raw /path/to/image.jpg
Structured transaction extraction
python3 scripts/general_ocr.py transactions /path/to/image.jpg
JSON output
python3 scripts/general_ocr.py transactions /path/to/image.jpg --json
Output rules
- Prefer showing the recognition result first, then the cleaned structure.
- Preserve source wording where possible.
- For uncertain content, use
待确认instead of inferring. - Adapt the structure to the source image type. For statement-like screenshots, common fields are:
card_last4,date,time,currency,merchant,amount.
Notes
- This skill uses RapidOCR locally.
- First install may need Python packages; after setup it runs offline.
- If OCR quality is weak, request a higher-resolution original screenshot before doing deeper整理.
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