← Back to Skills Marketplace
wu-uk

reflow_machine_maintenance_guidance

by wu-uk · GitHub ↗ · v0.1.0 · MIT-0
cross-platform ⚠ suspicious
79
Downloads
0
Stars
0
Active Installs
1
Versions
Install in OpenClaw
/install reflow-machine-maintenance-guidance
Description
This skill should be considered when you need to answer reflow machine maintenance questions or provide detailed guidance based on thermocouple data, MES dat...
Usage Guidance
This skill appears to be what it says (reflow metrics and guidance) but has two practical gaps you should address before installing: (1) It references DATA_DIR and reads MES/thermocouple CSVs but does not declare where those files live or how access is granted — verify and restrict which directories the agent may read to avoid accidental exposure of sensitive MES/manufacturing data. (2) The examples use Python libraries (pandas) but the skill doesn't declare dependencies; decide if the agent environment should provide these libraries, or add an install spec. Recommended actions: supply explicit paths or environment variables for handbook and dataset locations; limit file-system permissions for the agent; confirm a trusted source for the handbook; consider adding a declared dependency list (and a vetted install method) and, if concerned about autonomous runs, restrict user-invocable/autonomous invocation or monitor logs for unexpected file access.
Capability Analysis
Type: OpenClaw Skill Name: reflow-machine-maintenance-guidance Version: 0.1.0 The skill bundle provides legitimate guidance and reference Python code for analyzing industrial reflow machine maintenance data. The code in SKILL.md uses standard data processing libraries (pandas, numpy) to calculate manufacturing metrics such as ramp rates and time-above-liquidus (TAL) from CSV datasets (mes_log.csv, thermocouples.csv). No indicators of data exfiltration, malicious execution, or harmful prompt injection were found.
Capability Assessment
Purpose & Capability
Name/description align with the instructions: it focuses on computing reflow metrics from handbooks, MES and thermocouple data and provides appropriate formulas and example code. Nothing requested (no env vars, no installs) is obviously unrelated to the stated purpose. However, the examples assume a DATA_DIR and Python libraries (pandas) that are not declared.
Instruction Scope
The SKILL.md tells the agent to "retrieve related info from the handbook and corresponding datasets" but does not constrain or declare where those files live (DATA_DIR is referenced but not defined). That vagueness could lead the agent to search broadly across the filesystem or attempt to access network sources for handbooks/MES data. The included code examples read CSV files and would operate on any accessible MES/thermocouple files, which may be sensitive.
Install Mechanism
Instruction-only skill with no install spec or external downloads. This lowers risk because no packaged code is fetched at install time. Note: the sample code implicitly requires Python packages (pandas) but these are not declared; an agent might attempt to install them at runtime.
Credentials
The skill declares no credentials or config paths, which is appropriate. However, it expects access to MES and thermocouple datasets (potentially sensitive) without specifying how access should be granted or restricted. Also references DATA_DIR though no env var or config path is declared.
Persistence & Privilege
always:false and no install actions. The skill does not request persistent elevated privileges or to modify other skills/config; autonomous invocation is allowed (platform default) but not combined with additional privilege requests.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install reflow-machine-maintenance-guidance
  3. After installation, invoke the skill by name or use /reflow-machine-maintenance-guidance
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.1.0
Initial SkillsBench smoke publish
Metadata
Slug reflow-machine-maintenance-guidance
Version 0.1.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is reflow_machine_maintenance_guidance?

This skill should be considered when you need to answer reflow machine maintenance questions or provide detailed guidance based on thermocouple data, MES dat... It is an AI Agent Skill for Claude Code / OpenClaw, with 79 downloads so far.

How do I install reflow_machine_maintenance_guidance?

Run "/install reflow-machine-maintenance-guidance" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is reflow_machine_maintenance_guidance free?

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

Which platforms does reflow_machine_maintenance_guidance support?

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

Who created reflow_machine_maintenance_guidance?

It is built and maintained by wu-uk (@wu-uk); the current version is v0.1.0.

💬 Comments