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mike007jd

SkillPulse

by mike007jd · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
120
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1
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Install in OpenClaw
/install skillpulse
Description
Profile offline OpenClaw skill run samples to detect latency, CPU, and memory bottlenecks and compare sessions.
Usage Guidance
This skill appears to be a simple, local Node.js CLI for analyzing JSON sample logs. Before installing or using it: (1) ensure you have Node.js >=18; (2) only run it on sample files you trust or have sanitized — the tool will read any JSON file path you provide and could include sensitive data in generated reports; (3) review or run the included tests (test.js) in an isolated environment if you plan to run it in CI; and (4) because it writes files to user-specified paths, avoid supplying output locations that would overwrite important files. There are no network calls or secret accesses in the code, so the risk of remote exfiltration appears low based on the provided source.
Capability Analysis
Type: OpenClaw Skill Name: skillpulse Version: 1.0.0 The skill bundle implements a legitimate performance profiling tool for analyzing OpenClaw skill execution logs. The code in src/index.js and bin/skill-profiler.js performs standard data aggregation, bottleneck analysis, and report generation (JSON/HTML) based on user-provided input files. No evidence of data exfiltration, unauthorized network access, or malicious command execution was found; the tool operates entirely on local files as described in SKILL.md.
Capability Assessment
Purpose & Capability
Name/description (profile offline samples for latency/CPU/memory) matches the code and SKILL.md. The skill only requires node and works on local JSON samples. No unrelated credentials, binaries, or system config are requested.
Instruction Scope
SKILL.md instructs running the bundled CLI against local JSON sample files and producing JSON/HTML reports. The runtime instructions and source only read the provided input files and write report files; they do not access other system paths, network endpoints, or undeclared environment variables.
Install Mechanism
No install spec is provided (instruction-only with code files). Files are included in the package; there is no external download, no third‑party install script, and package.json has no runtime dependencies, so nothing is pulled from remote at install time.
Credentials
The skill declares no required env vars or credentials and the source code does not read environment secrets. It only relies on the 'node' binary and user-supplied file paths, which is proportionate to the stated functionality.
Persistence & Privilege
always is false and the skill does not attempt to modify other skills or system-wide agent settings. It writes report files to paths specified by the user (expected behavior for a CLI).
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install skillpulse
  3. After installation, invoke the skill by name or use /skillpulse
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release. Offline profiler for OpenClaw skill run samples with bottleneck detection, report export, and before-versus-after comparison.
Metadata
Slug skillpulse
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is SkillPulse?

Profile offline OpenClaw skill run samples to detect latency, CPU, and memory bottlenecks and compare sessions. It is an AI Agent Skill for Claude Code / OpenClaw, with 120 downloads so far.

How do I install SkillPulse?

Run "/install skillpulse" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is SkillPulse free?

Yes, SkillPulse is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does SkillPulse support?

SkillPulse is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created SkillPulse?

It is built and maintained by mike007jd (@mike007jd); the current version is v1.0.0.

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