Provides a safe, policy-driven scaffold to process very long inputs by:
Executable helper scripts are bundled with this skill (not downloaded at runtime):
scripts/rlm_ctx.py — context storage + peek/search/chunkscripts/rlm_plan.py — keyword-based slice plannerscripts/rlm_auto.py — plan + subcall promptsscripts/rlm_async_plan.py — batch schedulingscripts/rlm_async_spawn.py — spawn manifestscripts/rlm_emit_toolcalls.py — toolcall JSON generatorscripts/rlm_batch_runner.py — assistant-driven executorscripts/rlm_runner.py — JSONL orchestratorscripts/rlm_trace_summary.py — log summarizerscripts/rlm_path.py — shared path-validation helpersscripts/rlm_redact.py — secret pattern redactionscripts/cleanup.sh — artifact cleanupdocs/policy.md — policy + safety limitsdocs/flows.md — manual + async flows1) 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
read, write, exec, sessions_spawnexec is used only to invoke the safelisted helper scripts bundled in scripts/disableModelInvocation: truedisableModelInvocation: true in their OpenClaw configurationdocs/security.md for foundational safeguardsdocs/security_checklist.md for pre/during/post run checksPer OpenClaw documentation (subagents.md):
sessions_spawn is non-blocking and returns immediatelyUse scripts/cleanup.sh after runs to purge temp artifacts.
CLEAN_RETENTION=Ndocs/cleanup_ignore.txt (substring match)See docs/policy.md for thresholds and default limits.
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