- name
- rlm-controller
- description
- RLM-style long-context controller that treats inputs as external context, slices/peeks/searches, and spawns recursive subcalls with strict safety limits. Use for huge docs, dense logs, or repository-scale analysis.
- metadata
- {"clawdbot": {"emoji": "🧠"}}
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/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 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 execis used only to invoke the safelisted helper scripts bundled inscripts/- 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: truein 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.mdfor foundational safeguards - See
docs/security_checklist.mdfor 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_spawnis 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.