GitHub collection
uipath/coder_eval
Imported from GitHub — is this yours?
6 skills imported from this repository.
analyze
Analyze a finished coder-eval run and write analysis.md — cluster failures into systemic patterns, diagnose prompts, criteria, config, environment and cost, and recommend concrete fixes. Use when the user wants to know why a run failed, what to fix, or what a run says about their
check-skill
Generate and run a coder-eval activation suite for a Claude Code skill — does the agent actually engage it when it should, and leave it alone when it shouldn't? Use when the user asks whether a skill triggers, wants to test skill activation, or worries a skill has silently stoppe
lint-tasks
Review coder-eval task YAML that already exists — find criteria that cannot fail, prompts that give away the answer, fixtures with no cleanup, and near-duplicate tasks, each with a severity and a concrete fix. Read-only. Use when the user wants existing tasks reviewed, linted, au
Agents (4)
ANTIGRAVITY
Run Google Antigravity (Gemini) as the agent under evaluation in Coder Eval — installation, authentication, model and skill configuration, and how its telemetry maps to sandboxed, weighted scoring.
CLAUDE_CODE
Configure and run the default Claude Code agent in Coder Eval — the full agent-config surface, direct vs. Bedrock authentication, permission modes, sandbox isolation, skills/plugins, early stop, and token telemetry.
CODEX
Run OpenAI Codex as the agent under evaluation in Coder Eval — installation, authentication, task configuration, and how Codex telemetry maps to sandboxed, weighted scoring.
Commands (6)
-
/coder-eval-code-review— Run a multi-model code review on uncommitted changes or a described set of files source -
/coder-eval-code-review-full— Review the codebase across critical quality axes source -
/coder-eval-code-review-wf— Workflow-based 8-axis codebase review — per-axis sub-workflows, adversarial verify, deterministic scoring + rendering source -
/coder-eval-create-plan— Create a structured, phased implementation plan for a feature or change in the coder_eval codebase, executable from a fresh session by /coder-eval-implement-plan source -
/coder-eval-implement-plan— Implement an approved coder_eval plan phase by phase with risk-scaled per-phase review, then a final code review source -
/coder-eval-review— Generate per-task review.json (summary + tags) for a completed run source