Clinic Visit Prep

PassAudited by ClawScan on May 1, 2026.

Overview

This is a coherent local clinic-visit preparation skill with no evidence of exfiltration or hidden account changes, but it may handle sensitive health information and optionally run a local Python helper.

This skill appears reasonable for preparing a clinic-visit checklist. Before installing or using it, remember that it may process private health details and can write them to a local output file; use de-identified input when possible and review any report before sharing it with others.

Findings (3)

Artifact-based informational review of SKILL.md, metadata, install specs, static scan signals, and capability signals. ClawScan does not execute the skill or run runtime probes.

What this means

Users have less provenance information to rely on before running the included local helper script.

Why it was flagged

The package does not present a strong upstream provenance link, even though it does not use a remote installer or third-party dependencies.

Skill content
Source: unknown; Homepage: https://example.invalid/skills/clinic-visit-prep
Recommendation

Install from a trusted registry entry and review the bundled files if provenance matters for your environment.

What this means

Running the helper can read the input file you provide and create a local report file.

Why it was flagged

The skill explicitly allows running a bundled Python script and writing an output file; this is disclosed and purpose-aligned for generating structured reports.

Skill content
python3 "{baseDir}/scripts/run.py" --input <输入文件> --output <输出文件>
Recommendation

Use explicit input and output paths, avoid sensitive locations for outputs, and inspect the generated report before sharing it.

What this means

Medical details, symptoms, prior tests, and questions may appear in the generated draft or output file.

Why it was flagged

The expected input includes health-related personal context that may be summarized into the skill output.

Skill content
输入通常包含:症状时间线、既往检查、想问的问题
Recommendation

Remove unnecessary identifiers before use, keep outputs local/private, and treat the generated content as preparation notes rather than medical advice.