rlm
Recursive Language Model integration for Claude Code - intelligent multi-provider routing and unbounded context handling
Install / Use
npx skills add rand/rlm-claude-codeInstalls into whichever agent you are using.
Claude Commands
Claude Code slash commands
Quality Score
Category
Development & EngineeringSupported Platforms
Tags
Our assessment of rlm
rlm scores 64/100 on our quality scale, 639th of 1,284 Development & Engineering skills we index (top 50%).
Its Claude Commands is 2.6 KB long, well organised into 13 sections and no code examples: a solid amount of guidance for an agent.
It has no GitHub stars yet, so there is no community track record; judge it on its content.
Maintenance, license and trust
- The repository was last updated about 7 months ago. That is recent enough to be usable, but agent tooling moves fast, so check the instructions against your agent's current version.
- Our last check on 2026-09-02 found the source still online.
- No license is declared. By default that means all rights are reserved: you can read it, but reusing or redistributing it is not clearly permitted. Ask the author before building on it commercially.
- Its trust signals score 74/100, with 3 cautions from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
rlm compared with similar skills
All 4 of these similar skills score higher than rlm; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| rlm (this skill)by rand | 64 | 0 | 7mo ago | Claude Commands |
| cavemanby JuliusBrussee | 100 | 107.5k | today | CLAUDE.md |
| claude-memby thedotmack | 100 | 94.5k | 1d ago | CLAUDE.md |
| Agent-Reachby Panniantong | 100 | 85.0k | 8d ago | CLAUDE.md |
| Understand-Anythingby Egonex-AI | 100 | 83.8k | 11d ago | CLAUDE.md |
Frequently asked questions
- How do I install rlm?
- Run
npx skills add rand/rlm-claude-code. The install tabs above show the steps for each supported agent. - Which AI agents does rlm work with?
- It is written for Claude Code, as a Claude Commands file. Other agents that read the same format can often use it too.
- Is rlm safe to use?
- It declares no license and scores 74/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is rlm still maintained?
- The repository was last updated about 7 months ago. That is recent enough to be usable, but agent tooling moves fast, so check the instructions against your agent's current version.
Skill content
View source on GitHubToggle or configure RLM (Recursive Language Model) mode.
Usage
Basic Commands
/rlm— Show current RLM status and configuration/rlm on— Enable RLM auto-activation for this session/rlm off— Disable RLM mode (use standard Claude Code)
Execution Mode
/rlm mode fast— Quick responses, shallow analysis, cheaper models/rlm mode balanced— Standard processing (default)/rlm mode thorough— Deep analysis, multiple passes, powerful models
Budget Controls
/rlm budget $5— Set session budget to $5/rlm budget— Show current budget
Depth Configuration
/rlm depth 2— Set max recursion depth (0-3)/rlm depth— Show current depth setting
Model Preferences
/rlm model opus— Force specific model (opus, sonnet, haiku, gpt-4o, codex)/rlm model auto— Use automatic model selection
Tool Access for Sub-LLMs
/rlm tools none— Pure reasoning only/rlm tools repl— Python REPL only/rlm tools read— REPL + file reading/rlm tools full— Full tool access
Trajectory Verbosity
/rlm verbosity minimal— RECURSE, FINAL, ERROR only/rlm verbosity normal— All events, truncated (default)/rlm verbosity verbose— All events, full content/rlm verbosity debug— Everything + internal state
Other
/rlm status— Show full configuration/rlm reset— Reset to defaults/rlm save— Save preferences to disk
Execution Modes
| Mode | Depth | Model Tier | Tool Access | Budget | |------|-------|------------|-------------|--------| | fast | 1 | Haiku/4o-mini | REPL only | $0.50 | | balanced | 2 | Sonnet/GPT-4o | Read-only | $2.00 | | thorough | 3 | Opus/GPT-5 | Full | $10.00 |
When to Use
Force RLM on when:
- Working with large codebases (>50 files)
- Debugging complex multi-file issues
- Refactoring across module boundaries
- You want to see the reasoning trajectory
Use thorough mode when:
- Architecture design decisions
- Complex debugging sessions
- Comprehensive code reviews
Use fast mode when:
- Quick lookups
- Simple file operations
- Tight time constraints
Configuration File
Preferences are saved to ~/.config/rlm-claude-code/preferences.json
Instructions
When the user runs /rlm <command>, use the handle_rlm_command function from src/user_preferences.py to process the command and display the result.
For example:
/rlm mode fast→ Callhandle_rlm_command("mode fast")/rlm budget $10→ Callhandle_rlm_command("budget $10")/rlm status→ Callhandle_rlm_command("status")
The function returns a status message to display to the user.
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Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.