fuzzing-input-generator

Generate randomized and edge-case inputs to detect unexpected failures, bugs, and security vulnerabilities through fuzz testing. Use when creating test cases for robustness testing, generating adversarial inputs, testing error handling, finding edge cases, or security testing. Produces Python test code with fuzzing inputs for strings, numbers, and structured data focusing on edge cases, invalid inputs, and random valid inputs. Triggers when users ask to generate fuzz tests, create randomized test inputs, test edge cases, find bugs through fuzzing, or generate adversarial test cases.

Install with Tessl CLI

npx tessl i github:ArabelaTso/Skills-4-SE --skill fuzzing-input-generator

What are skills?

Review — 92%

Does it follow best practices?

Validation — 10 / 11 Passed

Validation for skill structure

SKILL.md

Review

Evals

Evaluation results

93%

19%

Fuzz Testing for a URL Sanitizer

String fuzz input coverage

Criteria

Without context

With context

pytest import

100%

random import

100%

string import

100%

Function naming

100%

50%

edge_cases section

75%

100%

invalid_inputs section

50%

100%

Empty/whitespace strings

62%

100%

Length edge cases

40%

100%

Unicode inputs

100%

Injection patterns

100%

Format string inputs

100%

Null byte

100%

50%

XSS payloads

100%

100-iteration random loop

100%

Random string generation

100%

Without context: $0.3146 · 1m 21s · 15 turns · 21 in / 4,736 out tokens

With context: $0.6527 · 1m 56s · 22 turns · 3,970 in / 6,717 out tokens

45%

19%

Fuzz Testing for a Financial Discount Calculator

Numeric fuzz inputs and test suite structure

Criteria

Without context

With context

TestFuzzSuite class

test_edge_cases method

test_invalid_inputs method

test_random_valid method

test_security method

test_extensive_fuzzing method

pytest.mark.slow decorator

50%

Integer boundary values

Special float values

100%

Negative zero float

100%

Extreme float values

100%

Precision edge case

100%

Property assertion

100%

10000+ iteration extensive test

57%

100%

Without context: $0.3460 · 1m 39s · 17 turns · 22 in / 6,409 out tokens

With context: $0.7771 · 2m 5s · 26 turns · 4,162 in / 8,167 out tokens

94%

24%

Fuzz Testing for a Webhook Payload Parser

Structured data fuzzing and regression tests

Criteria

Without context

With context

Empty dict input

100%

Empty list/None inputs

100%

Type confusion entries

42%

100%

Deep nesting

100%

Large structure

100%

Special keys

16%

100%

Edge case strategy coverage

100%

Invalid input strategy coverage

100%

Random valid strategy coverage

100%

Security strategy coverage

100%

Regression test naming

100%

Regression test documents bug

100%

100-iteration random loop

100%

Mixed-type dict inputs

100%

Without context: $0.5989 · 2m 14s · 26 turns · 35 in / 8,614 out tokens

With context: $0.8554 · 2m 23s · 26 turns · 3,976 in / 8,901 out tokens

Evaluated: about 18 hours ago
Agent: Claude Code

Table of Contents

Fuzz Testing for a URL Sanitizer Fuzz Testing for a Financial Discount Calculator Fuzz Testing for a Webhook Payload Parser

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