Agent skill · Data & Analytics

abstract-state-analyzer

Performs abstract interpretation over source code to infer possible program states, variable ranges, and data properties without executing the program. Reports potential runtime errors including out-of-bounds accesses, null dereferences, type inconsistencies, division by zero, and integer overflows. Use when analyzing code for potential runtime errors, performing static analysis, checking safety properties, or verifying program behavior without execution.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill abstract-state-analyzer --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 7 KB
Bundled scripts: none
Path: skills/analysis/abstract-state-analyzer/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Abstract State Analyzer ## Overview This skill performs abstract interpretation to statically analyze source code and infer possible program states, variable ranges, and data properties. It identifies potential runtime errors without executing the program. ## Analysis Workflow ### Step 1: Parse and Understand Code Structure Analyze the code to identify: - Functions and their control flow - Variable declarations and types - Loops and conditionals - Array/buffer operations - Pointer/reference operations - Function calls and parameter passing ### Step 2: Select Abstract Domains Choose appropriate abstract domains based on the analysis goals: **Interval Domain**: Track numeric variable ranges - Example: `x ∈ [0, 100]` means x is between 0 and 100 - Good for: Array bounds checking, overflow detection **Sign Domain**: Track whether values are positive, negative, or zero - Values: {+, -, 0, ⊤} - Good for: Division by zero, sign-dependent operations **Null Domain**: Track whether pointers/references can be null - Values: {null, not-null, maybe-null, ⊤} - Good for: Null dereference detection **Type Domain**: Track possible types of variables - Good for: Type consistency checking, dynamic

What's inside
Steps it walks through
  1. Overview
  2. Analysis Workflow
  3. Step 1: Parse and Understand Code Structure
  4. Step 2: Select Abstract Domains
  5. Step 3: Initialize Abstract States
  6. Step 4: Perform Forward Analysis
  7. Step 5: Detect Potential Errors
  8. Step 6: Report Findings
  9. Complete Example
  10. Language-Specific Considerations
  11. C/C++
  12. Python
  13. Java
  14. JavaScript
Ships with 1 file
  • metadata.json
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About this skill
What does the abstract-state-analyzer skill do?

Performs abstract interpretation over source code to infer possible program states, variable ranges, and data properties without executing the program. Reports potential runtime errors including out-of-bounds accesses, null dereferences, type inconsistencies, division by zero, and integer overflows. Use when analyzing code for potential runtime errors, performing static analysis, checking safety properties, or verifying program behavior without execution.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill abstract-state-analyzer --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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