/goal for Claude Code: persistent tasks with adversarial review

✍️ OpenClawRadar📅 Published: May 11, 2026🔗 Source
/goal for Claude Code: persistent tasks with adversarial review
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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.
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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

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👀 See Also

Tatu: Open-source security layer for Claude Code blocks secrets and destructive commands
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Tatu: Open-source security layer for Claude Code blocks secrets and destructive commands

Tatu is an open-source hook system that intercepts Claude Code actions in real time to block leaked secrets, flag PII, and deny destructive commands before execution. Installation is via pip/pipx with 'tatu-hook init' to enable audit mode.

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Ctxpact: Context Compaction Proxy for Local LLMs
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Ctxpact: Context Compaction Proxy for Local LLMs

Ctxpact is an OpenAI-compatible proxy that compresses oversized inputs for local LLMs with 16k context windows, using a 3-stage pipeline that includes DCP, summarization, and extraction strategies. Benchmarks show 110k tokens compressed to 12k with 8/8 reading comprehension accuracy.

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Savecraft MCP Server Provides Claude with Accurate Magic: The Gathering Data
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Savecraft MCP Server Provides Claude with Accurate Magic: The Gathering Data

Savecraft is an open-source MCP server that parses MTG Arena Player.log locally, syncs game state, and gives Claude access to 12 expert reference modules built on real Magic: The Gathering data. The tool prevents Claude from hallucinating card names and rules by providing access to actual Arena data, draft recommendations from 17Lands, and the complete Scryfall database.

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Lore: MCP Server That Shares AI Agent Session History Across Tools
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Lore: MCP Server That Shares AI Agent Session History Across Tools

Lore is an MCP server that indexes AI agent sessions into a local SQLite store, letting any agent—regardless of tool—access another's session history. Fresh client sessions, no shared context, yet agents can pull up past conversations on demand.

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