/goal for Claude Code: persistent tasks with adversarial review
The /goal command for Claude Code lets you set a persistent long task that keeps Claude working across many turns without stopping, and then double-checks the work at the end. By default, a second, independent Claude session reviews the result — so Claude can't just claim it's done.
Use Cases
- Building something from a spec: paste the requirements, walk away, come back when every item is actually implemented.
- "Keep going until the tests pass": Claude can't cheat by deleting failing tests, because the reviewer compares the repo against the original goal.
- Long research or prototype sessions: one goal keeps Claude going for hours instead of stopping after each turn.
Configuration
You can set an optional soft token budget, e.g. --tokens 250K, to tell Claude to wrap up when that budget is spent.
Audit strictness is configurable:
- adversarial (default) — a separate Claude session reviews the work
- self — Claude reviews itself (faster and free)
- off — no review
Switch with: /goal config set audit.mode <value>
Installation
From the plugin marketplace:
./plugin marketplace add balakumardev/claude /plugin install claude-code-goal
📖 Read the full source: r/ClaudeAI
👀 See Also
LLM Agent Builds Complete Godot 4 Dungeon Crawler Using Visual Feedback
A developer connected an LLM agent to Godot 4 using an MCP tool and gave it a single prompt to build a dungeon crawler FPS. The agent created a complete prototype with 3 rooms, lighting, combat, enemies, and progression by running the game, taking screenshots, and fixing visual issues.
Claude Skills Hub: Searchable Repository for 789+ Claude Code Skills and 10 Autonomous Agents
Claude Skills Hub (clskills.in) provides a centralized search interface for 789+ Claude Code skill files across 71 categories, plus 10 autonomous AI agents that chain multiple skills into complete workflows. The open-source project aggregates skills from multiple community collections and offers one-click downloads.
A2P: An MCP Server That Enforces Engineering Discipline for AI Coding Agents
A2P (Architect-to-Product) is an AI engineering framework packaged as an MCP server that enforces a gated workflow: Architecture → Plan → Build → Audit → Security → Deploy, with each feature slice requiring RED → GREEN → REFACTOR → SAST → DONE progression.
