KS
Killer-Skills

inspequte-rule-spec — Categories.community

v1.0.0
GitHub

About this Skill

Ideal for Coding Agents focused on JVM class and JAR file analysis, seeking efficient static analysis capabilities. Fast, CLI-first static analysis tool for JVM class and JAR files. Designed for coding agents.

KengoTODA KengoTODA
[0]
[0]
Updated: 3/5/2026

Quality Score

Top 5%
47
Excellent
Based on code quality & docs
Installation
SYS Universal Install (Auto-Detect)
Cursor IDE Windsurf IDE VS Code IDE
> npx killer-skills add KengoTODA/inspequte

Agent Capability Analysis

The inspequte-rule-spec MCP Server by KengoTODA is an open-source Categories.community integration for Claude and other AI agents, enabling seamless task automation and capability expansion.

Ideal Agent Persona

Ideal for Coding Agents focused on JVM class and JAR file analysis, seeking efficient static analysis capabilities.

Core Value

Empowers agents to perform fast, CLI-first static analysis on JVM class and JAR files, generating comprehensive rule specifications in Markdown format, utilizing files like `spec.md` and `plan.md` for contractual scope management.

Capabilities Granted for inspequte-rule-spec MCP Server

Creating rule specifications for JVM class files
Analyzing JAR files for compliance
Generating Markdown documentation for rules

! Prerequisites & Limits

  • Requires JVM class or JAR files as input
  • Designed for coding agents only
  • Scope is contractual, avoiding implementation details
Project
SKILL.md
1.5 KB
.cursorrules
1.2 KB
package.json
240 B
Ready
UTF-8

# Tags

[No tags]
SKILL.md
Readonly

inspequte rule spec

Inputs

  • Target rule-id.
  • Rule idea text.
  • Optional src/rules/<rule-id>/plan.md.

Outputs

  • Create or update src/rules/<rule-id>/spec.md.
  • Keep scope contractual; avoid implementation details beyond constraints.

Fixed Template

Use this exact section order:

  1. ## Summary
  2. ## Motivation
  3. ## What it detects
  4. ## What it does NOT detect
  5. ## Examples (TP/TN/Edge)
  6. ## Output
  7. ## Performance considerations
  8. ## Acceptance criteria

Minimal Context Loading

  1. Read src/rules/AGENTS.md.
  2. Read existing src/rules/<rule-id>/spec.md if present.
  3. Read src/rules/<rule-id>/plan.md if present.
  4. Read at most one related rule spec for style alignment.
  5. Do not perform repo-wide scans.

Guardrails

  • Treat spec.md as a behavior contract, not a design doc.
  • Do not include Rust APIs, struct names, function names, or algorithm internals.
  • Keep messages user-facing and actionable.
  • In ## Summary, define intended rule metadata (id, name, description) clearly so implementation can map it directly.
  • State annotation scope explicitly: @Suppress-style suppression is unsupported, and only JSpecify annotations are supported for annotation-driven semantics.

Definition of Done

  • spec.md exists under the target rule directory.
  • All template sections are present and non-empty.
  • Examples include true positive, true negative, and edge cases.
  • Implementation-specific details are excluded.

Related Skills

Looking for an alternative to inspequte-rule-spec or building a Categories.community AI Agent? Explore these related open-source MCP Servers.

View All

widget-generator

Logo of f
f

f.k.a. Awesome ChatGPT Prompts. Share, discover, and collect prompts from the community. Free and open source — self-host for your organization with complete privacy.

149.6k
0
Design

flags

Logo of vercel
vercel

flags is a Next.js feature management skill that enables developers to efficiently add or modify framework feature flags, streamlining React application development.

138.4k
0
Browser

zustand

Logo of lobehub
lobehub

The ultimate space for work and life — to find, build, and collaborate with agent teammates that grow with you. We are taking agent harness to the next level — enabling multi-agent collaboration, effortless agent team design, and introducing agents as the unit of work interaction.

72.8k
0
Communication

data-fetching

Logo of lobehub
lobehub

The ultimate space for work and life — to find, build, and collaborate with agent teammates that grow with you. We are taking agent harness to the next level — enabling multi-agent collaboration, effortless agent team design, and introducing agents as the unit of work interaction.

72.8k
0
Communication