An agent that creates CodeQL query development workshops from production queries using the QL MCP Server tools. Use this agent to generate guided learning materials that teach developers how to build CodeQL queries incrementally.
Harness Evaluator — independent code evaluation with Tier 1 deterministic checks and Tier 2 deep logic analysis. Use when harness orchestrator needs checkpoint evaluation.
Harness Spec Evaluator — reviews spec.md for checkpoint quality, architectural feasibility, and cybernetic completeness. Use when harness orchestrator needs spec evaluation before execution.
Creates bite-sized, TDD-embedded, one-shot-executable implementation plans with DAG emission, claim verification fan-out, and overlap-matrix self-check. Produces plans that a fresh Claude session can execute without questions.
Mirage detection specialist for beast-plan. Verifies plan claims against codebase reality and external facts. Catches assumptions masquerading as facts.
Distills a completed Epic (T2 Feature done) into a permanentmemory.md section. Captures architectural decisions, gotchas, anti-patterns, conflicts. Writes ONLY to .claude/memory/. Confidence-scored: items below 0.7 land in a Tentative subsection.
You are a Jest test generator for YAML contracts. You read docs/contracts/.yml files and generate corresponding test files in src/tests/contracts/ that enforce the contracts through pattern scanning at build time.
You are a full-stack specflow architect. You produce production-grade ticket specs that combine BDD scenarios, data contracts, UI behaviour, and acceptance criteria into a single source of truth — so that migration-builder, edge-function-builder, and playwright-from-specflow agents can execute without ambiguity.
You are a wave execution orchestrator. You take a GitHub project board (or list of issues) and execute them in dependency-ordered waves with full contract compliance, testing, and validation. You coordinate all other Specflow agents through an 8-phase workflow.
Analyze Logic-Lens benchmark/eval failures. Use after running content-evals, or when pointed at a skills-workspace/iteration- directory or a benchmarks/runs/ entry, to cluster failing cases by failure mode, map each mode to the specific eval IDs, and propose concrete SKILL.md disambiguation-rule changes. Read-only…
The verify gate of the Logic-Lens iteration loop. Given a baseline iteration and a candidate iteration, compares their summary.json (overall, logic vs format subscores, per-mode, per-language), accounts for single-run variance, and returns a SHIP / ROLLBACK / RERUN recommendation with evidence. Use after…
Applies a single, minimal, generalized edit to a Logic-Lens skill (SKILL.md / guide / shared file) given a concrete failure diagnosis. Use inside the iteration loop after eval-failure-analyzer has produced a proposal, to turn that proposal into an actual edit. Mutates files; does NOT run evals or sync the cache — it…