smyx-fruit-ripeness-grading-analysis@1.0.14
VERIFIED· install onlyPublisher claims: "AI-powered fruit ripeness grading for tomatoes / strawberries. From smart grow-boxes or mobile phone images, uses AI vision to detect fruit color (green / light green / orange / red / dark red), colored-area ratio, gloss, and relative fruit size (against a reference object), and outputs a ripeness grade (Mature-Green / Turning / Ripe / Over-Ripe) based on preset standards. Helps growers identify the optimal harvest window and ensures flavor and shelf quality. Scenarios: smart grow-boxes, greenhouses, home vegetable gardens, fruit & vegetable cooperatives. | 通过智能种植箱或手机拍摄的果实图像，利用AI视觉分析技术检测果实的颜色（绿/浅绿/橙/红/暗红）、着色面积比例、光泽度以及果实大小（相对于参照物），根据预设的成熟度分级标准输出等级（青熟期/转色期/成熟期/过熟期）。该技能帮助种植者确定最佳采收时机，保证果实口感和商品性。应用场景：智能种植箱、温室大棚、家庭菜园、果蔬合作社。" Observed in sandbox: no network, touches nothing outside the project, writes no memory.
Coverage
Nothing executable in the bundle ran; the trace covers the install step only.- Tested
- every file read, file written and host contacted by what ran
- Not tested
- use of the skill by an agent
Is [email protected] safe to install?
KillerSkills ran it in the KillerSkills honeypot sandbox (1 scenario; nothing executable in the bundle ran; the trace covers the install step only) on 2026-11-08 and scored it 87/100 (Verified). In what ran, nothing we could detect went wrong: no undeclared network egress, no credential reads, no persistent instruction writes. What it does with a real credential was not observed; the static findings and the publisher carry the rest of the score. Summary: no network, touches nothing outside the project, writes no memory.
Behavior trace
Honeypot run · 0 s · 1 scenarios · 0 deviationsStatic findings
| 🧑⚖️ 结果性质 | 分析结果仅供采收决策参考，不提供采后贮藏 / 保鲜方案；商品化分级请配合企业标准复核 |Fix: Keep SKILL.md to visible, descriptive text. Remove comments and encoded text that address the agent.base-url-open-api: "http://192.168.1.234:9601/smyx-open-api"Fix: Replace encoded or assembled strings with plain literals and remove undeclared network calls.# result = subprocess.run(Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.base-url-open-h5: "http://192.168.1.234:4100"Fix: Replace encoded or assembled strings with plain literals and remove undeclared network calls.base-url-health: "http://192.168.1.234:7070/jeecg-boot-xzgz"Fix: Replace encoded or assembled strings with plain literals and remove undeclared network calls.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.