Test that your Claude Code skills, MCP servers, and CLIs actually work when an agent uses them — sandboxed YAML suites, activation checks, A/B experiments, CI gates.
Skill Claude CodeCodex
Analyze a finished coder-eval run and write analysis.md — cluster failures into systemic patterns and recommend fixes. Use when the user wants to know why a run failed, what regressed or got worse since a previous run, what to fix, or what a run says about their tasks.
Skill Claude CodeCodex
Generate and run a coder-eval activation suite for a Claude Code skill. Use when the user asks whether a skill triggers, wants to test skill activation, or worries a skill has silently stopped firing.
Skill Claude CodeCodex
Generate a GitHub Actions workflow that runs a coder-eval suite as a CI gate or on a schedule, using the published composite action — with the agent runtime, credentials, JUnit output and a score floor wired correctly.
Skill Claude CodeCodex
Set up coder-eval in this repository — scan for what is worth evaluating (Claude Code skills, an MCP server, a CLI), then scaffold a task directory with one real task and the command to run it.
Skill Claude CodeCodex
Review existing coder-eval task YAML — find criteria that cannot fail, prompts that leak the answer, and near-duplicate tasks, each with a fix. Read-only. Use when the user wants existing tasks reviewed, linted, audited, or checked for gaps.
Skill Claude CodeCodex
Turn a natural-language description into coder-eval task YAML — minimal prompts, weighted criteria that check output content, validated with coder-eval plan. Use when the user wants to write, add, or generate an evaluation task.