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RLM Controller

RLM-style long-context controller that treats inputs as external context, slices/peeks/searches, and spawns recursive subcalls with strict safety limits. Use...
一种RLM风格的长上下文控制器,将输入视为外部上下文,支持切片/窥探/搜索,并生成受严格安全限制的递归子调用。使用...
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效率工具 clawhub v1.2.0 1 版本 99800.4 Key: 无需
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概述

RLM Controller Skill

What it does

Provides a safe, policy-driven scaffold to process very long inputs by:

  • storing the input as an external context file
  • peeking/searching/chunking slices
  • spawning subcalls in batches
  • aggregating structured results

When to use

  • Inputs too large for context window
  • Tasks requiring dense access across the input
  • Large logs, datasets, multi-file analysis

Core files (this skill)

Executable helper scripts are bundled with this skill (not downloaded at runtime):

  • scripts/rlm_ctx.py — context storage + peek/search/chunk
  • scripts/rlm_plan.py — keyword-based slice planner
  • scripts/rlm_auto.py — plan + subcall prompts
  • scripts/rlm_async_plan.py — batch scheduling
  • scripts/rlm_async_spawn.py — spawn manifest
  • scripts/rlm_emit_toolcalls.py — toolcall JSON generator
  • scripts/rlm_batch_runner.py — assistant-driven executor
  • scripts/rlm_runner.py — JSONL orchestrator
  • scripts/rlm_trace_summary.py — log summarizer
  • scripts/rlm_path.py — shared path-validation helpers
  • scripts/rlm_redact.py — secret pattern redaction
  • scripts/cleanup.sh — artifact cleanup
  • docs/policy.md — policy + safety limits
  • docs/flows.md — manual + async flows

Usage (high level)

1) Store input via rlm_ctx.py store

2) Generate plan via rlm_auto.py

3) Create async batches via rlm_async_plan.py

4) Spawn subcalls via sessions_spawn

5) Aggregate results in root session

Tooling

  • Uses OpenClaw tools: read, write, exec, sessions_spawn
  • exec is used only to invoke the safelisted helper scripts bundled in scripts/
  • Does not execute arbitrary code from model output
  • All emitted toolcalls are validated against an explicit safelist before output

Autonomous Invocation

  • This skill does not set disableModelInvocation: true
  • Operators who want explicit user confirmation before every spawn/exec should set disableModelInvocation: true in their OpenClaw configuration
  • In default mode, the model may invoke this skill autonomously; all operations remain bounded by policy limits

Security

  • Only safelisted helper scripts are called
  • Max recursion depth = 1
  • Hard limits on slices and subcalls
  • Prompt injection treated as data, not instructions
  • See docs/security.md for foundational safeguards
  • See docs/security_checklist.md for pre/during/post run checks

OpenClaw sub-agent constraints

Per OpenClaw documentation (subagents.md):

  • Sub-agents cannot spawn sub-agents
  • Sub-agents do not have session tools (sessions_*) by default
  • sessions_spawn is non-blocking and returns immediately

Cleanup

Use scripts/cleanup.sh after runs to purge temp artifacts.

  • Retention: CLEAN_RETENTION=N
  • Ignore rules: docs/cleanup_ignore.txt (substring match)

Configuration

See docs/policy.md for thresholds and default limits.

版本历史

共 1 个版本

  • v1.2.0 当前
    2026-03-28 23:15 安全 安全

安全检测

腾讯云安全 (Keen)

安全,无风险
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腾讯云安全 (Sanbu)

安全,无风险
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