spec-miner
Reverse-engineering specialist that extracts specifications from existing codebases
Install / Use
npx skills add Jeffallan/claude-skills --skill spec-minerInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
Content & MediaSupported Platforms
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.
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.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| spec-miner (this skill)by Jeffallan | 86 | 11.6k | 49d ago | SKILL.md |
| Agent-Reachby Panniantong | 100 | 85.5k | 10d ago | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 73.8k | today | CLAUDE.md |
| Scraplingby D4Vinci | 100 | 83.8k | today | MCP Server |
| LocalAIby mudler | 100 | 49.3k | today | MCP 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.
Skill content
View source on GitHubname: 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
- Scope - Identify analysis boundaries (full system or specific feature)
- 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.
- Trace - Follow data flows and request paths
- Document - Write observed requirements in EARS format
- 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.mdfor 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:
- Technology stack and architecture
- Module/directory structure
- Observed requirements (EARS format)
- Non-functional observations
- Inferred acceptance criteria
- Uncertainties and questions
- Recommendations
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Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
