Claude Code skill combines DeepMind Aletheia and Anthropic harness approaches
Technical implementation details
A developer has built a Claude Code skill that combines two recent research approaches: DeepMind's Aletheia math research agent and Anthropic's multi-agent coding architecture. The skill creates a synthesis that neither original implementation included.
The pipeline follows a Planner → Generator → Evaluator → Reviser structure. A key innovation is what the developer calls "blind pre-analysis" - the evaluator reasons about the correct approach before it ever sees the candidate code. This extends Aletheia's decoupling concept by having the evaluator form its own expectations first, then grade solutions against them.
After the blind analysis, the evaluator runs the code and grades it against concrete criteria: correctness, completeness, security, resilience, and quality. It returns a structured verdict (CORRECT / FIXABLE / WRONG) that drives targeted revision.
Installation and usage
Installation requires creating a directory and cloning the repository:
mkdir -p ~/.claude/skills/aletheia
# clone repo, copy SKILL.md + evaluator.md + planner.mdUsage examples from the source:
/aletheia Build a rate limiter middleware for Fastify using Redis/aletheia review src/routes/auth.ts/aletheia quick Fix the N+1 query in the dashboard
The skill is available at https://github.com/zhadyz/aletheia-harness.
Research context
DeepMind's Aletheia represents a shift from convergent thinking (reproducing known solutions) to divergent thinking (generating original mathematical results). Anthropic's harness research focused on multi-agent coding architecture but lacked chain-of-thought decoupling in the evaluator. This implementation combines both approaches into a single pipeline.
📖 Read the full source: r/ClaudeAI
👀 See Also
CipherClaw: Using a Security Persona to Audit Code with Claude
A developer used CipherClaw, a CLAUDE.md persona called TALON, to make Claude Code think like a security architect. Running it on a Next.js app revealed 17 security findings including critical vulnerabilities like unauthenticated endpoints returning admin data and hardcoded auth tokens.
LM Studio parser bugs break Qwen3.5 tool calling and reasoning
LM Studio's server parser has three interacting bugs that silently break tool calling, corrupt reasoning output, and make models appear worse than they are. The issues affect reasoning models like Qwen3.5 and DeepSeek-R1, with one bug reported over a year ago still unresolved.
OpenClaw extension routes requests through Claude Code CLI instead of API
An OpenClaw extension spawns the Claude CLI binary as a subprocess, routing requests through Claude Code CLI instead of the Anthropic API. This provides the full Claude Code experience at the flat rate of a max plan.
Culpa: Open Source Deterministic Replay Engine for AI Agent Debugging
Culpa is an open source tool that records LLM agent sessions with full execution context, enabling deterministic replay using recorded responses as stubs instead of hitting real APIs. It works with Anthropic and OpenAI APIs via proxy mode or Python SDK.