Borrowing it
Nothing to install: this file belongs to namastexlabs/automagik-cli. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/namastexlabs/automagik-cli/main/.claude/commands/planner.mdgit clone --depth 1 https://github.com/namastexlabs/automagik-cliWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/commands/namastexlabs/automagik-cli/planner)<a href="https://agentmods.dev/commands/namastexlabs/automagik-cli/planner"><img src="https://agentmods.dev/badge/commands/namastexlabs/automagik-cli/planner.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00000 | $0.01690 |
| Opus 5 | $0.00000 | $0.00845 |
| Sonnet 5 | $0.00000 | $0.00338 |
| Haiku 4.5 | $0.00000 | $0.00169 |
Grade A, and why
planner scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 267 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/planner
allowed-tools: mcp__zen__planner(), Read(), Write(), Bash(), Glob(), mcp__zen__docgen(), mcp__wait__wait_minutes(*) description: Interactive step-by-step planning for complex tasks with branching and revision capabilities
Transform vague requirements into concrete, actionable plans through iterative refinement and exploration of alternatives.
The Power of Interactive Planning
Unlike static planning, the Zen planner enables:
- Step-by-Step Thinking: Build plans incrementally with deep reflection
- Branching Exploration: Try different approaches without losing progress
- Dynamic Revision: Update earlier steps as understanding deepens
- Forced Reflection: Complex plans (≥5 steps) trigger deep thinking pauses
- Context Persistence: Plans survive across sessions via continuation IDs
Usage Examples
# Plan a new feature
/planner "Add real-time collaboration to agent system"
# Plan a complex refactoring
/planner "Refactor routing logic to support dynamic agent registration"
# Plan an investigation
/planner "Investigate and fix memory leak in long-running sessions"
# Plan with specific model
/planner "Design microservices architecture" model="gemini"
How It Works
Planning Flow
graph TD
A[Initial Request] --> B[Step 1: High-level understanding]
B --> C[Step 2: Break down components]
C --> D[Step 3: Identify dependencies]
D --> E{Need alternatives?}
E -->|Yes| F[Branch: Explore approach B]
E -->|No| G[Step 4: Detail implementation]
F --> G
G --> H[Step 5: Risk assessment]
H --> I{Revisions needed?}
I -->|Yes| J[Revise earlier steps]
I -->|No| K[Final plan ready]
J --> K
Deep Thinking Enforcement
For complex plans (≥5 steps), the first 3 steps enforce thinking pauses:
- Prevents surface-level planning
- Ensures thorough consideration of alternatives
- Identifies hidden dependencies early
- Avoids tactical details before strategic decisions
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 3d ago First seen · 267 lines · 0 tokens per session scan A 4059eacbcbbb
planner is a command published in the GitHub repository namastexlabs/automagik-cli (6 stars, last pushed 9mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,690 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-04.
Other commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.