abstract-domain-explorer
Applies abstract interpretation using different abstract domains (intervals, octagons, polyhedra, sign, congruence) to statically analyze program variables and infer invariants, value ranges, and relationships. Use when analyzing program properties, inferring loop invariants, detecting potential errors, or understanding variable relationships through static analysis.
Install with Tessl CLI
npx tessl i github:ArabelaTso/Skills-4-SE --skill abstract-domain-explorer94
Does it follow best practices?
Validation for skill structure
Discovery
100%Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.
This is an excellent skill description that clearly defines a specialized static analysis capability. It provides specific technical details about the abstract domains supported, concrete actions performed, and explicit trigger conditions. The description effectively targets users familiar with formal methods and program analysis.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists multiple specific concrete actions: 'statically analyze program variables', 'infer invariants', 'value ranges', and 'relationships'. Also specifies concrete abstract domains (intervals, octagons, polyhedra, sign, congruence). | 3 / 3 |
Completeness | Clearly answers both what ('Applies abstract interpretation using different abstract domains to statically analyze program variables and infer invariants') AND when ('Use when analyzing program properties, inferring loop invariants, detecting potential errors, or understanding variable relationships'). | 3 / 3 |
Trigger Term Quality | Includes natural technical terms users would say: 'abstract interpretation', 'static analysis', 'loop invariants', 'value ranges', 'variable relationships', 'detecting potential errors'. These are domain-appropriate terms that practitioners would naturally use. | 3 / 3 |
Distinctiveness Conflict Risk | Highly distinctive niche focusing specifically on abstract interpretation and formal static analysis methods. The specific domain terminology (octagons, polyhedra, congruence domains) makes it unlikely to conflict with general code analysis or debugging skills. | 3 / 3 |
Total | 12 / 12 Passed |
Implementation
85%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a strong, well-structured skill that provides actionable guidance for abstract interpretation analysis. The workflow is clear with explicit steps, and the numerous concrete examples demonstrate each domain effectively. Minor verbosity in domain descriptions could be trimmed, but overall the content earns its place.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is comprehensive but includes some explanatory content Claude would already know (e.g., basic definitions of what each domain does). The domain comparison table and examples are valuable, but the content could be tightened by removing redundant explanations. | 2 / 3 |
Actionability | Provides concrete, executable examples with specific code snippets, step-by-step analysis traces, and clear expected outputs. The transfer function examples and loop analysis walkthroughs are copy-paste ready and demonstrate exactly how to apply each domain. | 3 / 3 |
Workflow Clarity | Clear 6-step workflow with explicit sequencing (Select Domain → Initialize → Transfer Functions → Widening → Narrowing → Extract Invariants). Each step has concrete guidance, and the loop handling includes explicit iteration traces showing convergence. | 3 / 3 |
Progressive Disclosure | Well-structured with clear sections progressing from overview to workflow to examples to domain comparison. References external file (references/abstract_domains.md) for comprehensive details, keeping the main skill focused on practical application. | 3 / 3 |
Total | 11 / 12 Passed |
Validation
100%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 11 / 11 Passed
Validation for skill structure
No warnings or errors.
- Reviewed
Table of Contents
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