Skill Claude CodeCodex
Validate basic performance characteristics to detect regressions. Use when running lightweight load tests to measure latency, throughput, and error rates.
An AI agent starter template that implements the DORA AI Capabilities Model — built for GitHub Copilot, Claude Code, Cursor, and Codex
This repository also configures its own agents. See what uFawkesAI tells them →
Skill Claude CodeCodex
Validate basic performance characteristics to detect regressions. Use when running lightweight load tests to measure latency, throughput, and error rates.
Skill Claude CodeCodex
Ensure the CI/CD pipeline includes required test stages. Use when validating that pipeline definitions include unit, integration, and E2E test stages.
Skill Claude CodeCodex
Validate runtime behavior in a simulated environment. Use when smoke-testing build output in a local or simulated deployment environment.
Skill Claude CodeCodex
Validate that test coverage meets platform thresholds. Use when analyzing coverage data and checking against governance requirements.
Skill Claude CodeCodex
Run unit tests and validate correctness of individual components. Use when executing unit tests, collecting results, and measuring coverage.
Skill Claude CodeCodex
Context footprint audit and cost control strategies for agent sessions. Use when optimising token usage, auditing session costs, or choosing which model to use for a task.
Skill Claude CodeCodex
Validate internal API contracts between OBS and PIPE modules. Use when validating function signatures, return types, invariants, preconditions, postconditions, or type-level contracts.
Skill Claude CodeCodex
Validate pure functions, deterministic logic, and core algorithms in OBS and PIPE. Use when testing DAG evaluation, GitOps parsing, error propagation, or ensuring deterministic outputs.
Skill Claude CodeCodex
Ensure predictable and safe error behavior across OBS and PIPE. Use when validating thrown errors, error messages and codes, fallback logic, retry/backoff logic, or invariant enforcement.
Skill Claude CodeCodex
Isolate OBS and PIPE logic from external systems to ensure deterministic, fast tests. Use when mocking Git operations, registry interactions, filesystem operations, Kubernetes API calls, or network requests.
Skill Claude CodeCodex
Map the product value stream to identify bottlenecks consuming AI productivity gains. Use when DORA metrics plateau, when lead time is high despite fast coding, or when planning a major capability investment. Based on DORA AI Capabilities Model v2025.1 VSM chapter. Tier 3: Phase 2.
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: