software-implementation

software-implementation is a Test-driven development skill for AI agents, published by stencila in the stencila repository on GitHub. Skillspace rates software-implementation C (74/100) and it passed the safety scan; the rating is based on static analysis only.

Write the minimal production code needed to make failing TDD tests pass (Green phase of red-green-refactor). Use when failing tests exist and production code must be written or modified to satisfy them. Reads and interprets failing test output, discovers codebase conventions (module layout, naming, import patterns, error handling, coding style), writes focused production code that satisfies test expectations without over-engineering, integrates new code with existing modules, types, and APIs, handles revision feedback from failed test runs, and verifies implementation compiles or parses before handing off to test execution. Works with any language or framework.

Grade
C
Quality
74 / 100
Safety
Passed
GitHub stars
895

Unproven: rated by static analysis only, not yet compared head-to-head.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

Our review

Architecture
100 / 100
Maturity
Structured: ships references or scripts
Security scan
No issues found
License
Apache-2.0
Adoption
Adopted by 0 other repositories, in 0 collections
Scope
Portable: works in any project. Generic TDD green-phase implementation method for any codebase

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.