discover-important-function
When given a project codebase, this skill observes the important functions in the codebase for future action.
Best for Python security testingWorks with GitHub
⌘source
- author
@benchflow-ai- language
- PDDL
★1kstars
252forks
Apr 20, 2026
✦overview.md
Key Features
- ·Identifies high-value fuzz targets in Python codebases
- ·Ranks important files, functions, and methods
- ·Analyzes existing unit tests and inferred oracles
- ·Produces structured shortlist with follow-up guidance
- ·Works with repository filesystem access
Use Cases
- →Finding the best functions to fuzz in a Python package or library
- →Identifying parsers, decoders, validators, or boundary code for fuzzing
- →Deciding what to fuzz based on existing test coverage and API surface
- →Automating testing pipeline setup for new or existing Python projects
Best for
- ✓Python security testing
- ✓Fuzzing pipeline automation
- ✓Codebase analysis for test planning
Not ideal for
- !Fixing specific bugs
- !Code refactoring
- !Immediate harness implementation
FAQs
name
discover-important-function
description
When given a project codebase, this skill observes the important functions in the codebase for future action.
Fuzz Target Localizer
Purpose
This skill helps an agent quickly narrow a Python repository down to a small set of high-value fuzz targets. It produces:
- A ranked list of important files
- A ranked list of important functions and methods
- A summary of existing unit tests and inferred oracles
- A final shortlist of functions-under-test (FUTs) for fuzzing, each with a structured "note to self" for follow-up actions
When to use
Use this skill when the user asks to:
- Find the best functions to fuzz in a Python package/library
- Identify parsers, decoders, validators, or boundary code that is fuzz-worthy
- Decide what to fuzz based on existing test coverage and API surface
- Produce a structured shortlist of fuzz targets with harness guidance
- Automating testing pipeline setup for a new or existing Python project.
Do not use this skill when the user primarily wants to fix a specific bug, refactor code, or implement a harness immediately (unless they explicitly ask for target selection first).
Inputs expected from the environment
The agent should assume access to:
- Repository filesystem
- Ability to read files
$install
1-click copynpx skills add benchflow-ai/skillsbench --skill discover-important-functionSafety assessment
★
Clarity score
How clear and easy to understand the SKILL.md instructions are, rated from 1 to 5.
3/ 5
goodMostly clear, but there are still a few confusing or poorly structured parts.
◎
Actionability score
How directly an agent can act on the SKILL.md instructions, rated from 1 to 5.
3/ 5
mediumPartially actionable with several concrete steps, but still missing important details.