chat-order-ocr@1.0.0
CAUTION· static onlyPublisher claims: "Chat order extraction and grouping from pasted LINE/Facebook messages or OCR text. Use for parsing +1, +2, 一份, 盒, 個等數量、按姓名分組排序、產生可人工覆核的 JSON 或 CSV 名單,以及建立或更新相關的聊天訂單整理工具。" Observed in sandbox: static analysis only — behavior not yet observed.
Coverage
Static only; nothing was run yet.The label rests on the code, the instruction files and the publisher. The honeypot run replaces this verdict when it completes.
Is [email protected] safe to install?
KillerSkills analysed it statically (a sandbox run is pending) on 2026-11-08 and scored it 66/100 (Caution). It is not known to be malicious, but it has behaviour or code a security policy should decide on before install. Summary: static analysis only — behavior not yet observed.
Behavior trace
Queued for honeypot run · static analysis onlyThis version has not been detonated yet. The score above counts behavior as unknown (50/100), so it cannot read Verified until the honeypot run completes and replaces this verdict.
Static findings
completed = subprocess.run(command, check=True, capture_output=True, text=True, encoding="utf-8", errors="replace")Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.cat ocr.txt | python "$CLI" --source ocr --group-by person --format csv --output orders.csvFix: Remove the call, or declare the host in frontmatter and explain in the README what is sent and why.python "$CLI" --input messages.txt --format json --output orders.jsonFix: Remove the call, or declare the host in frontmatter and explain in the README what is sent and why.python "$CLI" --images screenshots/*.jpg --catalog catalog.json --format json --output ocr-orders.jsonFix: Remove the call, or declare the host in frontmatter and explain in the README what is sent and why.result = subprocess.run([sys.executable, str(CLI), *args], check=True, capture_output=True, text=True)Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.Cost to the agent
Tokens estimated at four characters each. Skills load their instruction text when triggered; the figure is what that costs.
Known vulnerabilities
Vulnerability advisories (OSV) cover npm and PyPI packages; this registry has no advisory database.
What would make this Verified
14 points to 80 · weights: behavior 45%, static 25%, prompt 15%, publisher 15%- Unclaimed publisher≈ +8 on the totalClaim qpooqp777: a verified publisher gets +50 on publisher trust. It is free and usually instant with GitHub sign-in.
- Python subprocess execution detected≈ +2 on the totalBuild commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.
- File type combined with upload action≈ +2 on the totalRemove the call, or declare the host in frontmatter and explain in the README what is sent and why.