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在 OpenClaw 中安装
/install pedestrian-traffic-counting-gemini-count-in-video
功能描述
Analyze and count objects in videos using Google Gemini API (object counting, pedestrian detection, vehicle tracking, and surveillance video analysis).
安全使用建议
Before installing, understand that this skill will upload videos to Google Gemini and expects an API key (GEMINI_API_KEY) and access to local video files. Ask the publisher to: (1) declare GEMINI_API_KEY and any config paths in the manifest, (2) document exactly which filesystem paths the skill will read, and (3) confirm how video data is handled/stored by the external API (retention, privacy). If you will process sensitive surveillance footage, test with non-sensitive videos first and ensure compliance with privacy/legal requirements. If you don't want videos uploaded to an external cloud, do not install or run this skill.
功能分析
Type: OpenClaw Skill
Name: pedestrian-traffic-counting-gemini-count-in-video
Version: 0.1.0
The skill provides a legitimate framework for video analysis and object counting using the Google Gemini API. The code examples in SKILL.md use the official google-genai SDK to upload videos and process results, with appropriate error handling and structured output parsing. No indicators of data exfiltration, malicious execution, or prompt injection attacks were found.
能力标签
能力评估
Purpose & Capability
The skill claims to use the Google Gemini API for video object counting (which is consistent with the described purpose), but the package/registry metadata lists no required environment variables or credentials. The SKILL.md clearly expects a GEMINI_API_KEY (os.getenv('GEMINI_API_KEY')) and uses client.files.upload — the manifest should declare that credential. The absence of declared credentials is an incoherence between what the skill says it needs and what the registry requires.
Instruction Scope
The runtime instructions instruct the agent to upload video files (potentially surveillance footage) to Google Gemini, poll for processing state, and read local directories (e.g., /app/video) to batch-process files. Uploading sensitive video to an external API and reading local directories are within scope for a video-analysis skill, but the SKILL.md gives the agent broad filesystem access (os.listdir on a hardcoded path) and mandates prompt formats for model responses. The instructions do not limit which local paths to access or warn about sensitive data, and they rely on externally executing uploads — these are expected actions but should be made explicit in the manifest and docs.
Install Mechanism
This is an instruction-only skill with no install spec and no code files. That minimizes installation risk because nothing is downloaded or written at install time. No install-time downloads or archive extraction are present.
Credentials
The SKILL.md uses GEMINI_API_KEY for genai.Client(api_key=os.getenv('GEMINI_API_KEY')), but the registry metadata lists no required environment variables or primary credential. That is disproportionate/inconsistent: a cloud API key is necessary for the described functionality and should be declared. Additionally, the instructions assume read access to a local directory (/app/video) and implicitly rely on local file availability — the manifest does not declare config paths or require consent for this access.
Persistence & Privilege
always is false and there are no install scripts or modifications to other skills or system-wide settings. The skill can be invoked autonomously (default), which is normal; this alone is not flagged. There is no evidence the skill requests persistent agent privileges beyond normal invocation.
如何使用
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install pedestrian-traffic-counting-gemini-count-in-video - 安装完成后,直接呼叫该 Skill 的名称或使用
/pedestrian-traffic-counting-gemini-count-in-video触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v0.1.0
Bulk publish from all-task-skills-dedup
元数据
常见问题
gemini-count-in-video 是什么?
Analyze and count objects in videos using Google Gemini API (object counting, pedestrian detection, vehicle tracking, and surveillance video analysis). 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 69 次。
如何安装 gemini-count-in-video?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install pedestrian-traffic-counting-gemini-count-in-video」即可一键安装,无需额外配置。
gemini-count-in-video 是免费的吗?
是的,gemini-count-in-video 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
gemini-count-in-video 支持哪些平台?
gemini-count-in-video 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 gemini-count-in-video?
由 lnj22(@lnj22)开发并维护,当前版本 v0.1.0。
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