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Install in OpenClaw
/install mario-coin-counting-object-counter
Description
Count occurrences of an object in the image using computer vision algorithm.
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install mario-coin-counting-object-counter - After installation, invoke the skill by name or use
/mario-coin-counting-object-counter - Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.1.0
Bulk publish from all-task-skills-dedup
Metadata
Frequently Asked Questions
What is object_counter?
Count occurrences of an object in the image using computer vision algorithm. It is an AI Agent Skill for Claude Code / OpenClaw, with 72 downloads so far.
How do I install object_counter?
Run "/install mario-coin-counting-object-counter" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is object_counter free?
Yes, object_counter is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does object_counter support?
object_counter is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created object_counter?
It is built and maintained by lnj22 (@lnj22); the current version is v0.1.0.
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