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52yuanchangxing

Skill Market Fit Ranker

by vx:17605205782 · GitHub ↗ · v1.0.0 · MIT-0
darwinlinuxwin32 ✓ Security Clean
154
Downloads
0
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0
Active Installs
1
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Install in OpenClaw
/install skill-market-fit-ranker
Description
对一批 Skill 选题按高频、低门槛、传播性、ROI 和风险做排序。;use for skills, market-fit, prioritization workflows;do not use for 只按个人偏好排序, 忽略发布风险.
Usage Guidance
This skill appears to do what it says: create structured market-fit reports using a local Python script and templates. Before running it: (1) review scripts/run.py if you want to verify behavior; (2) do not point the script at system/root or folders containing secrets or credentials—it will read files recursively under the provided input path; (3) run with --dry-run or direct output to a controlled file to inspect results before publishing or taking actions; (4) the skill does not perform network calls or require API keys, so it is suitable for offline/local use. If you need higher assurance, run the script in an isolated environment (container or VM) and inspect outputs for sensitive content before sharing.
Capability Analysis
Type: OpenClaw Skill Name: skill-market-fit-ranker Version: 1.0.0 The skill bundle is designed to rank skill topics and perform basic security/compliance audits on other skill bundles. The Python script (scripts/run.py) includes a 'pattern_report' function that actually scans for common malicious indicators like 'curl|bash', 'rm -rf /', and hardcoded secrets, acting as a defensive utility. The code lacks network capabilities, obfuscation, or unauthorized execution logic, and its behavior aligns perfectly with the provided documentation.
Capability Assessment
Purpose & Capability
Name/description match the provided assets: a template-driven structured brief and a local Python script (scripts/run.py) that generates reports and audits. Declared requirement (python3) is appropriate and sufficient.
Instruction Scope
SKILL.md limits the skill to producing reviewable drafts and suggests invoking the local script. The script reads files and directories you supply (recursively), parses markdown/json/csv, and performs pattern scans. This file- and directory-reading behavior is expected for an auditing/prioritization tool, but it means the agent will access any files you pass as --input (do not point it at root or directories containing secrets).
Install Mechanism
No install spec is included and no external downloads occur. The skill is instruction- and script-based and only requires python3 (standard library). This is low-risk from an install perspective.
Credentials
The skill declares no environment variables, no credentials, and no config paths. The script does not access environment secrets or external credentials. Requested access (local files) is proportionate to the stated purpose.
Persistence & Privilege
always is false and disable-model-invocation is false (normal). The skill does not attempt to modify other skills or system-wide settings; it only reads local resources and can write output files when invoked with an explicit --output (or when not in dry-run).
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install skill-market-fit-ranker
  3. After installation, invoke the skill by name or use /skill-market-fit-ranker
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of skill-market-fit-ranker. - Ranks a list of skills based on frequency, entry barrier, virality, ROI, and risk. - Provides structured outputs: scoring dimensions, sorted results, high-potential and low-priority topics, risk notes, and a suggested roadmap. - Explicitly identifies missing information instead of making assumptions. - Adheres to clear safety and execution boundaries—outputs are reviewable and non-destructive. - Supports both script execution and local template-based workflows.
Metadata
Slug skill-market-fit-ranker
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Skill Market Fit Ranker?

对一批 Skill 选题按高频、低门槛、传播性、ROI 和风险做排序。;use for skills, market-fit, prioritization workflows;do not use for 只按个人偏好排序, 忽略发布风险. It is an AI Agent Skill for Claude Code / OpenClaw, with 154 downloads so far.

How do I install Skill Market Fit Ranker?

Run "/install skill-market-fit-ranker" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Skill Market Fit Ranker free?

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

Which platforms does Skill Market Fit Ranker support?

Skill Market Fit Ranker is cross-platform and runs anywhere OpenClaw / Claude Code is available (darwin, linux, win32).

Who created Skill Market Fit Ranker?

It is built and maintained by vx:17605205782 (@52yuanchangxing); the current version is v1.0.0.

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