← 返回 Skills 市场
72
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install mario-coin-counting-object-counter
功能描述
Count occurrences of an object in the image using computer vision algorithm.
安全使用建议
This skill appears to do what it says: local template-based object counting. Before installing or running it: 1) Review and run the script in a disposable/virtualenv environment; install required Python packages (opencv-python, numpy) yourself rather than assuming they're present. 2) Use non-sensitive local images for testing—the script processes files locally and does not transmit data, but confirm your agent/environment's filesystem permissions. 3) Note template matching has limits (false positives/negatives) and the CLI includes unused choices (denoise, super_resolution) — benign but sloppy. 4) If you plan to let an autonomous agent invoke this skill, ensure the agent's access to local directories is restricted to the image folders you intend to process.
功能分析
Type: OpenClaw Skill
Name: mario-coin-counting-object-counter
Version: 0.1.0
The skill bundle provides a standard implementation of object counting using OpenCV's template matching algorithm. The script 'scripts/count_objects.py' and the instructions in 'SKILL.md' are consistent with the stated purpose and contain no evidence of malicious intent, data exfiltration, or unauthorized execution.
能力评估
Purpose & Capability
The name/description match the implementation: the included Python script performs template-matching-based object counting. Minor oddity: the CLI lists additional tools (denoise, super_resolution) as choices but only 'count' is implemented; this is likely a leftover and not a functional mismatch.
Instruction Scope
SKILL.md instructs running the bundled script on local image files with CLI flags. The instructions do not ask the agent to read unrelated files, environment variables, or send data externally. The runtime behavior is limited to local image processing.
Install Mechanism
There is no install spec (instruction-only), so nothing is written to disk by an installer. However, the script depends on Python packages (cv2/OpenCV and numpy) that are not declared; users will need to install these in their environment (e.g., via pip).
Credentials
The skill requires no environment variables, credentials, or config paths. There is no request for sensitive data or unrelated service credentials.
Persistence & Privilege
The skill is not always-enabled, does not modify other skills or system config, and contains no code to persist credentials or enable itself. It runs on-demand and does not request elevated privileges.
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 mario-coin-counting-object-counter - 安装完成后，直接呼叫该 Skill 的名称或使用
/mario-coin-counting-object-counter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
object_counter 是什么？
Count occurrences of an object in the image using computer vision algorithm. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 72 次。
如何安装 object_counter？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install mario-coin-counting-object-counter」即可一键安装，无需额外配置。
object_counter 是免费的吗？
是的，object_counter 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
object_counter 支持哪些平台？
object_counter 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 object_counter？
由 lnj22（@lnj22）开发并维护，当前版本 v0.1.0。
推荐 Skills