init
Initialize LLM Rail in the current project — set up workflows, directories, and register in CLAUDE.md
Skill by neuradex
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/neuradex-init
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: ml
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/init
Tools it pre-approves 4
From allowed-tools in SKILL.md: the agent may use these without asking you each time.
Bash,Read,Write,Edit
What's inside
- Skill name
init- Description
- Initialize LLM Rail in the current project — set up workflows, directories, and register in CLAUDE.md
- License
- MIT
- Allowed tools
- Bash,, Read,, Write,, Edit
- Instructions
- 61 lines in SKILL.md · view on GitHub
Before installing
- Pre-approves some shell commands
Agent Skills spec issues
- name: missing
Files (1)
- SKILL.md
SKILL.md (first lines)
# Project Setup Initialize lrail in the current project. ## Steps 1. Run the CLI init command (creates `lrail.yml`, `workflows/`, `.llm-rail/`, updates `.gitignore`): ```bash lrail init ``` 2. **Register lrail in CLAUDE.md** — inject context so the agent knows about lrail in every session. First, check if CLAUDE.md already has an lrail section: ```bash if [ -f CLAUDE.md ]; then grep -q 'lrail' CLAUDE.md && echo "ALREADY_EXISTS" || echo "NEEDS_INJECT" else echo "NO_FILE" fi ``` If `ALREADY_EXISTS`, skip this step. If `NEEDS_INJECT` or `NO_FILE`, append the following block to `CLAUDE.md` (create the file if it doesn't exist). Use the Edit tool to append, or Write if the file is new. ``` ## LLM Rail — Guardrails for Agentic Work This project uses [LLM Rail](https://github.com/neuradex/llm-rail) to optimize complex agent tasks. `lrail` is its CLI. LLMs have recency bias — long context leads to forgotten instructions and drift. LLM Rail fixes this by decomposing tasks into validated steps, each running in a clean, narrow context. The result: speed (Haiku instead of Opus), safety (policy + validation), and transparency (full audit trail). ### When to suggest lrail - User says a task failed or the output quality is poor - A task has multiple distinct phases that could be validated independently - User wants to reduce cost or speed up a repeating multi-step process - User asks to break down, structure, or systematize a complex task ### Quick Start - Run `lrail docs` to browse built-in documentation (concepts, guides, tips) - Run `lrail wf list` to see available workflows ### Commands - `/llm-rail:design` — Design a new workflow from a task description - `/llm-rail:run <workflow> [--param k=v]` — Execute a workflow end-to-end - `/llm-rail:review` — Trial run + analysis — detect issues, suggest fixes, generate policy - `/llm-rail:status` — Check workflow instance status or list all instances - `lrail docs <topic>` — Browse documentation (e.g., `lrail docs concepts/step-types`) - Workflow definitions: `workflows/*.yml` ``` ## Report Report the results: - The output of `lrail init` - Whether CLAUDE.md was updated (and what was added) - Suggest running `/llm-rail:design` to create a custom workflow for this project - Suggest running `lrail docs` to learn about lrail concepts
From neuradex/llm-rail, MIT.
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Check LLM Rail workflow instance status or list all instances
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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 2
- Last commit (this folder)
- Mar 23, 2026 (7 months ago)
- Last release
- Jul 30, 2026 (3 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/neuradex/llm-rail
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from neuradex
- 0.514score
consistency-check
neuradex
Check consistency across LLM Rail docs (learn/), skills, agents, README, and source code
SkillBFreshness: BClaude Code +9 - 0.514score
design
neuradex
Design an LLM Rail workflow — analyze intent, validate requirements, and generate optimized YAML
SkillBFreshness: BClaude Code +9 - 0.514score
review
neuradex
Review an LLM Rail workflow — trial run, analyze results, and suggest concrete improvements
SkillBFreshness: BClaude Code +9 - 0.514score
run
neuradex
Execute an LLM Rail workflow end-to-end — validate, create, and run all steps automatically
SkillBFreshness: BClaude Code +9 - 0.509score
status
neuradex
Check LLM Rail workflow instance status or list all instances
SkillBFreshness: BClaude Code +9
Cite this page
init skill. Agent Mart. https://agentmart.dev/skills/neuradex-init (last updated 2026-10-24)