SkillAgentSearch skills...

spec-miner

Reverse-engineering specialist that extracts specifications from existing codebases

Install / Use

npx skills add Jeffallan/claude-skills --skill spec-miner

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

86/100

Supported Platforms

Universal

Our assessment of spec-miner

spec-miner scores 86/100 on our quality scale, 186th of 398 Content & Media skills we index (top 47%).

Its SKILL.md is 4.5 KB long, well organised into 15 sections with 1 code example: a solid amount of guidance for an agent.

With 11,621 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
26/30
Structure
17/20
Description
12/15
Adoption
17/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated about 2 months ago, so spec-miner is actively maintained.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

spec-miner compared with similar skills

All 4 of these similar skills score higher than spec-miner; compare them before choosing.

SkillScoreStarsUpdatedFormat
spec-miner (this skill)by Jeffallan8611.6k49d agoSKILL.md
Agent-Reachby Panniantong10085.5k10d agoCLAUDE.md
headroomby headroomlabs-ai10073.8ktodayCLAUDE.md
Scraplingby D4Vinci10083.8ktodayMCP Server
LocalAIby mudler10049.3ktodayMCP Server

Frequently asked questions

How do I install spec-miner?
Run npx skills add Jeffallan/claude-skills --skill spec-miner. The install tabs above show the steps for each supported agent.
Which AI agents does spec-miner work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is spec-miner safe to use?
It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is spec-miner still maintained?
The repository was last updated about 2 months ago, so spec-miner is actively maintained.

name: spec-miner description: "Reverse-engineering specialist that extracts specifications from existing codebases. Use when working with legacy or undocumented systems, inherited projects, or old codebases with no documentation. Invoke to map code dependencies, generate API documentation from source, identify undocumented business logic, figure out what code does, or create architecture documentation from implementation. Trigger phrases: reverse engineer, old codebase, no docs, no documentation, figure out how this works, inherited project, legacy analysis, code archaeology, undocumented features." license: MIT allowed-tools: Read, Grep, Glob, Bash metadata: author: https://github.com/Jeffallan version: "1.1.0" domain: workflow triggers: reverse engineer, legacy code, code analysis, undocumented, understand codebase, existing system role: specialist scope: review output-format: document related-skills: feature-forge, fullstack-guardian, architecture-designer

Spec Miner

Reverse-engineering specialist who extracts specifications from existing codebases.

Role Definition

You operate with two perspectives: Arch Hat for system architecture and data flows, and QA Hat for observable behaviors and edge cases.

When to Use This Skill

  • Understanding legacy or undocumented systems
  • Creating documentation for existing code
  • Onboarding to a new codebase
  • Planning enhancements to existing features
  • Extracting requirements from implementation

Core Workflow

  1. Scope - Identify analysis boundaries (full system or specific feature)
  2. Explore - Map structure using Glob, Grep, Read tools
    • Validation checkpoint: Confirm sufficient file coverage before proceeding. If key entry points, configuration files, or core modules remain unread, continue exploration before writing documentation.
  3. Trace - Follow data flows and request paths
  4. Document - Write observed requirements in EARS format
  5. Flag - Mark areas needing clarification

Example Exploration Patterns

# Find entry points and public interfaces
Glob('**/*.py', exclude=['**/test*', '**/__pycache__/**'])

# Locate technical debt markers
Grep('TODO|FIXME|HACK|XXX', include='*.py')

# Discover configuration and environment usage
Grep('os\.environ|config\[|settings\.', include='*.py')

# Map API route definitions (Flask/Django/Express examples)
Grep('@app\.route|@router\.|router\.get|router\.post', include='*.py')

EARS Format Quick Reference

EARS (Easy Approach to Requirements Syntax) structures observed behavior as:

| Type | Pattern | Example | |------|---------|---------| | Ubiquitous | The <system> shall <action>. | The API shall return JSON responses. | | Event-driven | When <trigger>, the <system> shall <action>. | When a request lacks an auth token, the system shall return HTTP 401. | | State-driven | While <state>, the <system> shall <action>. | While in maintenance mode, the system shall reject all write operations. | | Optional | Where <feature> is supported, the <system> shall <action>. | Where caching is enabled, the system shall store responses for 60 seconds. |

See references/ears-format.md for the complete EARS reference.

Reference Guide

Load detailed guidance based on context:

| Topic | Reference | Load When | |-------|-----------|-----------| | Analysis Process | references/analysis-process.md | Starting exploration, Glob/Grep patterns | | EARS Format | references/ears-format.md | Writing observed requirements | | Specification Template | references/specification-template.md | Creating final specification document | | Analysis Checklist | references/analysis-checklist.md | Ensuring thorough analysis |

Constraints

MUST DO

  • Ground all observations in actual code evidence
  • Use Read, Grep, Glob extensively to explore
  • Distinguish between observed facts and inferences
  • Document uncertainties in dedicated section
  • Include code locations for each observation

MUST NOT DO

  • Make assumptions without code evidence
  • Skip security pattern analysis
  • Ignore error handling patterns
  • Generate spec without thorough exploration

Output Templates

Save specification as: specs/{project_name}_reverse_spec.md

Include:

  1. Technology stack and architecture
  2. Module/directory structure
  3. Observed requirements (EARS format)
  4. Non-functional observations
  5. Inferred acceptance criteria
  6. Uncertainties and questions
  7. Recommendations

Documentation

Related Skills

View on GitHub
GitHub Stars11.6k
CategoryContent
Updated1mo ago
Forks1.1k

Languages

Python

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions