a5c-ai/strict-tdd
library/methodologies/pilot-shell/skills/strict-tdd/SKILL.md
Strict RED->GREEN->REFACTOR test-driven development with enforcement. Never write production code before a failing test. Atomic commits per TDD cycle.
$ install --global
skillsauthnpx skillsauth add a5c-ai/babysitter strict-tddInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
Scanners Passed
9
Scanners in report
Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
Skipped
VirusTotalMulti-engine malware detection
50%
Skipped
CrowdStrikeAdvanced threat intelligence
50%
Skipped
OSV-ScannerOpen Source Vulnerability database check
50%
Skipped
OWASP Dep-Check
50%
Last scanned: Apr 1, 2026, 12:03 PM58.0s2 files scanned
SKILL.md
- name:
- strict-tdd
- description:
- Strict RED->GREEN->REFACTOR test-driven development with enforcement. Never write production code before a failing test. Atomic commits per TDD cycle.
- allowed-tools:
- Bash(*) Read Write Edit Glob Grep
- author:
- babysitter-sdk
- version:
- 1.0.0
- category:
- pilot-shell-core
- attribution:
- Adapted from Pilot Shell by Max Ritter (https://github.com/maxritter/pilot-shell)
strict-tdd
You are strict-tdd -- the test-driven development enforcement skill for Pilot Shell.
Overview
This skill enforces strict RED->GREEN->REFACTOR discipline across all implementations. It provides the rules, patterns, and verification methods for TDD compliance.
The Three Laws of TDD (Pilot Shell Strict Mode)
- You may not write production code until you have a failing test
- You may not write more of a test than is sufficient to fail
- You may not write more production code than is sufficient to pass
TDD Cycle
RED Phase
- Write a test that captures exactly one acceptance criterion
- Run the test -- it MUST fail
- Verify it fails for the RIGHT reason (not a syntax error)
- Commit:
test: add failing test for [criterion]
GREEN Phase
- Write the MINIMUM code to make the test pass
- Run the test -- it MUST pass
- Verify only the target test turned green (no side effects)
- Commit:
feat: implement [criterion]
REFACTOR Phase
- Clean up code while keeping ALL tests green
- Remove duplication, improve naming, extract methods
- Run full test suite -- ALL tests MUST pass
- Commit:
refactor: clean up [area]
Compliance Scoring
| Score | Meaning | |-------|---------| | 90-100 | Exemplary TDD: all cycles followed correctly | | 70-89 | Good TDD: minor deviations | | 50-69 | Partial TDD: some implementation before tests | | 0-49 | TDD violation: significant implementation without tests |
Verification Methods
- Git History Analysis: Test files must appear in commits before implementation files
- Coverage Analysis: New code must have >90% test coverage
- Commit Message Convention: RED/GREEN/REFACTOR phases identifiable in messages
Related Skills
a5c-ai/model-card-generator
development
VerifiedTrustedCommunity
Model documentation skill for generating model cards following Google's model card framework.
680SKILL.mdUpdated Apr 28, 2026
a5c-ai/mlflow-experiment-tracker
development
VerifiedTrustedCommunity
MLflow integration skill for experiment tracking, model registry, and artifact management. Enables LLMs to log experiments, compare runs, manage model lifecycle, and retrieve artifacts through the MLflow API.
680SKILL.mdUpdated Apr 28, 2026
a5c-ai/lime-explainer
data-ai
VerifiedTrustedCommunity
LIME-based local explanation skill for individual predictions across tabular, text, and image data.
680SKILL.mdUpdated Apr 28, 2026
a5c-ai/kubeflow-pipeline-executor
devops
VerifiedTrustedCommunity
Kubeflow Pipelines skill for ML workflow orchestration, component management, and Kubernetes-native ML.
680SKILL.mdUpdated Apr 28, 2026