slb
Simultaneous Launch Button - Two-person rule for destructive commands in multi-agent workflows. Risk-tiered classification, command hash binding, 5 execution gates, client-side execution with environment inheritance. Go CLI.
What this skill does
# SLB — Simultaneous Launch Button
A Go CLI that implements a **two-person rule** for running potentially destructive commands from AI coding agents. When an agent wants to run something risky (e.g., `rm -rf`, `git push --force`, `kubectl delete`, `DROP TABLE`), SLB requires peer review and explicit approval before execution.
## Why This Exists
Coding agents can get tunnel vision, hallucinate, or misunderstand context. A second reviewer (ideally with a different model/tooling) catches mistakes before they become irreversible.
SLB is built for **multi-agent workflows** where many agent terminals run in parallel and a single bad command could destroy work, data, or infrastructure.
## Critical Design: Client-Side Execution
**Commands run in YOUR shell environment**, not on a server. The daemon is a NOTARY (verifies approvals), not an executor. This means commands inherit:
- AWS_PROFILE, AWS_ACCESS_KEY_ID
- KUBECONFIG
- Activated virtualenvs
- SSH_AUTH_SOCK
- Database connection strings
## Risk Tiers
| Tier | Approvals | Auto-approve | Examples |
|------|-----------|--------------|----------|
| **CRITICAL** | 2+ | Never | `rm -rf /`, `DROP DATABASE`, `terraform destroy`, `git push --force` |
| **DANGEROUS** | 1 | Never | `rm -rf ./build`, `git reset --hard`, `kubectl delete`, `DROP TABLE` |
| **CAUTION** | 0 | After 30s | `rm file.txt`, `git branch -d`, `npm uninstall` |
| **SAFE** | 0 | Immediately | `rm *.log`, `git stash`, `kubectl delete pod` |
## Quick Start
### Installation
```bash
# One-liner
curl -fsSL https://raw.githubusercontent.com/Dicklesworthstone/slb/main/scripts/install.sh | bash
# Or with go install
go install github.com/Dicklesworthstone/slb/cmd/slb@latest
```
### Initialize a Project
```bash
cd /path/to/project
slb init
```
Creates `.slb/` directory with:
- `state.db` - SQLite database (source of truth)
- `config.toml` - Project configuration
- `pending/` - JSON files for pending requests
- `logs/` - Execution logs
### Basic Workflow
```bash
# 1. Start a session (as an AI agent)
slb session start --agent "GreenLake" --program "claude-code" --model "opus"
# Returns: session_id and session_key
# 2. Run a dangerous command (blocks until approved)
slb run "rm -rf ./build" --reason "Clean build artifacts" --session-id <id>
# 3. Another agent reviews and approves
slb pending # See what's waiting
slb review <request-id> # View full details
slb approve <request-id> --session-id <reviewer-id> --comment "Looks safe"
# 4. Original command executes automatically after approval
```
## Commands Reference
### Session Management
```bash
slb session start --agent <name> --program <prog> --model <model>
slb session end --session-id <id>
slb session resume --agent <name> --create-if-missing # Resume after crash
slb session list # Show active sessions
slb session heartbeat --session-id <id> # Keep session alive
slb session gc --threshold 2h # Clean stale sessions
```
### Request & Run
```bash
# Primary command (atomic: check, request, wait, execute)
slb run "<command>" --reason "..." --session-id <id>
# Plumbing commands
slb request "<command>" --reason "..." # Create request only
slb status <request-id> --wait # Check/wait for status
slb pending --all-projects # List pending requests
slb cancel <request-id> # Cancel own request
```
### Review & Approve
```bash
slb review <request-id> # Show full details
slb approve <request-id> --session-id <id> --comment "..."
slb reject <request-id> --session-id <id> --reason "..."
```
### Execution
```bash
slb execute <request-id> # Execute approved request
slb emergency-execute "<cmd>" --reason "..." # Human override (logged)
slb rollback <request-id> # Rollback if captured
```
### Pattern Management
```bash
slb patterns list --tier critical # List patterns by tier
slb patterns test "<command>" # Check what tier a command gets
slb patterns add --tier dangerous "<pattern>" # Add runtime pattern
```
### Daemon & TUI
```bash
slb daemon start --foreground # Start background daemon
slb daemon stop # Stop daemon
slb daemon status # Check daemon status
slb tui # Launch interactive TUI
slb watch --session-id <id> --json # Stream events (NDJSON)
```
### Claude Code Hook
```bash
slb hook install # Install PreToolUse hook
slb hook status # Check installation
slb hook test "<command>" # Test classification
slb hook uninstall # Remove hook
```
### History & Audit
```bash
slb history --tier critical --status executed # Filter history
slb history -q "rm -rf" # Full-text search
slb show <request-id> --with-reviews # Detailed view
slb outcome record <request-id> --problems # Record feedback
slb outcome stats # Execution statistics
```
## Pattern Matching Engine
### Classification Algorithm
1. **Normalization**: Commands are parsed with shell-aware tokenization
- Strips wrapper prefixes: `sudo`, `doas`, `env`, `time`, `nohup`
- Extracts inner commands from `bash -c 'command'`
- Resolves paths: `./foo` → `/absolute/path/foo`
2. **Compound Command Handling**: Commands with `;`, `&&`, `||`, `|` are split and each segment classified. **Highest risk segment wins**:
```
echo "done" && rm -rf /etc → CRITICAL (rm -rf /etc wins)
ls && git status → SAFE (no dangerous patterns)
```
3. **Shell-Aware Splitting**: Separators inside quotes preserved:
```
psql -c "DELETE FROM users; DROP TABLE x;" → Single segment (SQL)
echo "foo" && rm -rf /tmp → Two segments
```
4. **Pattern Precedence**: SAFE → CRITICAL → DANGEROUS → CAUTION (first match wins)
5. **Fail-Safe Parse Handling**: If parsing fails, tier is **upgraded by one level**:
- SAFE → CAUTION
- CAUTION → DANGEROUS
- DANGEROUS → CRITICAL
### Default Patterns
**CRITICAL (2+ approvals)**:
`rm -rf /...`, `DROP DATABASE/SCHEMA`, `TRUNCATE TABLE`, `terraform destroy`, `kubectl delete node/namespace/pv/pvc`, `git push --force`, `aws terminate-instances`, `dd ... of=/dev/`
**DANGEROUS (1 approval)**:
`rm -rf`, `git reset --hard`, `git clean -fd`, `kubectl delete`, `terraform destroy -target`, `DROP TABLE`, `chmod -R`, `chown -R`
**CAUTION (auto-approved after 30s)**:
`rm <file>`, `git stash drop`, `git branch -d`, `npm/pip uninstall`
**SAFE (skip review)**:
`rm *.log`, `rm *.tmp`, `git stash`, `kubectl delete pod`, `npm cache clean`
## Request Lifecycle
### State Machine
```
┌─────────────┐
│ PENDING │
└──────┬──────┘
┌───────────────┼───────────────┐───────────────┐
▼ ▼ ▼ ▼
┌──────────┐ ┌──────────┐ ┌──────────┐ ┌──────────┐
│ APPROVED │ │ REJECTED │ │ CANCELLED│ │ TIMEOUT │
└────┬─────┘ └──────────┘ └──────────┘ └────┬─────┘
│ (terminal) (terminal) │
▼ ▼
┌──────────┐ ┌──────────┐
│EXECUTING │ │ESCALATED │
└────┬─────┘ └──────────┘
│
┌──────┴──────┬──────────┐
▼ ▼ ▼
┌────────┐ ┌─────────┐ ┌────────┐
│EXECUTED│ │EXEC_FAIL│ │TIMED_OUT│
└────────┘ └─────────┘ └────────┘
(terminal) (terminal) (terminal)
```
### Approval TTL
- **Standard requests**: 30 minutes (configurable)
- **CRITICAL requests**: 10 minutes (Related in AI Agents
skill-development
IncludedComprehensive meta-skill for creating, managing, validating, auditing, and distributing Claude Code skills and slash commands (unified in v2.1.3+). Provides skill templates, creation workflows, validation patterns, audit checklists, naming conventions, YAML frontmatter guidance, progressive disclosure examples, and best practices lookup. Use when creating new skills, validating existing skills, auditing skill quality, understanding skill architecture, needing skill templates, learning about YAML frontmatter requirements, progressive disclosure patterns, tool restrictions (allowed-tools), skill composition, skill naming conventions, troubleshooting skill activation issues, creating custom slash commands, configuring command frontmatter, using command arguments ($ARGUMENTS, $1, $2), bash execution in commands, file references in commands, command namespacing, plugin commands, MCP slash commands, Skill tool configuration, or deciding between skills vs slash commands. Delegates to docs-management skill for official documentation.
reprompter
IncludedTransform messy prompts into well-structured, effective prompts — single or multi-agent. Use when: "reprompt", "reprompt this", "clean up this prompt", "structure my prompt", rough text needing XML tags and best practices, "reprompter teams", "repromptception", "run with quality", "smart run", "smart agents", multi-agent tasks, audits, parallel work, anything going to agent teams. Don't use when: simple Q&A, pure chat, immediate execution-only tasks. See "Don't Use When" section for details. Outputs: Structured XML/Markdown prompt, quality score (before/after), optional team brief + per-agent sub-prompts, agent team output files. Success criteria: Single mode quality score ≥ 7/10; Repromptception per-agent prompt quality score 8+/10; all required sections present, actionable and specific.
adaptive-compaction
IncludedAdaptive add-on policy and recovery layer that decides WHEN to compact, prune, snapshot, or fork -- replacing fixed-percent auto-compaction across Claude Code, Codex, and MCP-capable hosts. Trigger on auto-compact timing or damage: "when should I compact", "is it safe to compact now or start a fresh session", "auto-compact fires too early/mid-task", "switching to an unrelated task but the window still has space", "context rot", "answers get worse the longer the session runs", "the agent forgot the plan or my decisions after it summarized", "add a layer on top that manages context without changing the agent", raising autoCompactWindow to give the policy room, or installing/tuning a cross-tool compaction policy or PreCompact hook -- even when "compaction" is never said but the problem is context-window pressure or post-summarization memory loss. Do NOT use to summarize a conversation, build RAG, write a summarization prompt (decides WHEN not HOW), or answer max-context-length trivia.
agent-skill-creator
IncludedCreate cross-platform agent skills from workflow descriptions. Activates when users ask to create an agent, automate a repetitive workflow, create a custom skill, or need advanced agent creation. Triggers on phrases like create agent for, automate workflow, create skill for, every day I have to, daily I need to, turn process into agent, need to automate, create a cross-platform skill, validate this skill, export this skill, migrate this skill. Supports single skills, multi-agent suites, transcript processing, template-based creation, interactive configuration, cross-platform export, and spec validation.
llm-wiki
IncludedUse when building or maintaining a persistent personal knowledge base (second brain) in Obsidian where an LLM incrementally ingests sources, updates entity/concept pages, maintains cross-references, and keeps a synthesis current. Triggers include "second brain", "Obsidian wiki", "personal knowledge management", "ingest this paper/article/book", "build a research wiki", "compound knowledge", "Memex", or whenever the user wants knowledge to accumulate across sessions instead of being re-derived by RAG on every query.
skill-master
IncludedAgent Skills authoring, evaluation, and optimization. Create, edit, validate, benchmark, and improve skills following the agentskills.io specification. Use when designing SKILL.md files, structuring skill folders (references, scripts, assets), ingesting external documentation into skills, running trigger evals, benchmarking skill quality, optimizing descriptions, or performing blind A/B comparisons. Keywords: agentskills.io, SKILL.md, skill authoring, eval, benchmark, trigger optimization.