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abstract-trace-summarizer

Performs abstract interpretation to produce summarized execution traces and high-level program behavior representations. Highlights key control flow paths, variable relationships, loop invariants, function summaries, and potential runtime states using abstract domains (intervals, signs, nullness, etc.). Use when analyzing program behavior, understanding execution paths, computing loop invariants, tracking variable ranges, detecting potential runtime errors, or generating program summaries without concrete execution.

84

1.38x
Quality

77%

Does it follow best practices?

Impact

94%

1.38x

Average score across 3 eval scenarios

SecuritybySnyk

Passed

No known issues

Optimize this skill with Tessl

npx tessl skill review --optimize ./skills/abstract-trace-summarizer/SKILL.md
SKILL.md
Quality
Evals
Security

Evaluation results

99%

47%

Inventory Reorder Calculation — Program Behavior Analysis

Loop invariant inference and abstract domain selection

Criteria
Without context
With context

Domain choice stated

12%

100%

Interval domain applied

12%

100%

Loop head widening

0%

100%

Loop invariant stated

50%

100%

Loop bound stated

100%

100%

States at key points

87%

100%

Conditional branch states

50%

100%

Over-approximation noted

10%

100%

Assumptions documented

75%

100%

Concrete example given

75%

87%

Recommendations included

100%

100%

Meanings explained

85%

100%

90%

4%

Payment Processing Library — Safety Verification

Function summarization and language-specific null safety

Criteria
Without context
With context

Nullness domain used

100%

100%

Domain choice rationale

28%

42%

computeFee summary

100%

100%

getCategory summary

100%

100%

processTransactions summary

100%

100%

Side effects and frame conditions

25%

62%

Modular reuse stated

100%

100%

Loop invariant for traversal

100%

100%

Null safety at dereferences

100%

100%

Unsafe dereference identified

100%

100%

Runtime behaviors section

100%

100%

Assumptions documented

57%

57%

95%

28%

Data Validation Pipeline — Execution Path Documentation

Execution path analysis and output format structure

Criteria
Without context
With context

Domain selection stated

14%

100%

Control flow structure

0%

100%

All exception paths enumerated

100%

100%

Normal execution path

100%

100%

Path conditions stated

100%

100%

Infeasible path noted

87%

100%

Join operation at merge

0%

37%

Python exception flow

100%

100%

Variable relationships section

25%

100%

Safety properties

100%

100%

Over-approx vs exact stated

100%

100%

Required sections present

44%

100%

Repository
ArabelaTso/Skills-4-SE
Evaluated
Agent
Claude Code
Model
Claude Sonnet 4.6

Table of Contents

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