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Skill Market Fit Ranker
作者
vx:17605205782
· GitHub ↗
· v1.0.0
· MIT-0
154
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install skill-market-fit-ranker
功能描述
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.
安全使用建议
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.
功能分析
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.
能力评估
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).
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 skill-market-fit-ranker - 安装完成后,直接呼叫该 Skill 的名称或使用
/skill-market-fit-ranker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
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.
元数据
常见问题
Skill Market Fit Ranker 是什么?
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. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 154 次。
如何安装 Skill Market Fit Ranker?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install skill-market-fit-ranker」即可一键安装,无需额外配置。
Skill Market Fit Ranker 是免费的吗?
是的,Skill Market Fit Ranker 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Skill Market Fit Ranker 支持哪些平台?
Skill Market Fit Ranker 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(darwin, linux, win32)。
谁开发了 Skill Market Fit Ranker?
由 vx:17605205782(@52yuanchangxing)开发并维护,当前版本 v1.0.0。
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