Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add commands/spideynolove/claude-dotfiles/create_plangit clone --depth 1 https://github.com/spideynolove/claude-dotfilesWrote 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/spideynolove/claude-dotfiles/create_plan)<a href="https://agentmods.dev/commands/spideynolove/claude-dotfiles/create_plan"><img src="https://agentmods.dev/badge/commands/spideynolove/claude-dotfiles/create_plan.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 | $0.00009 | $0.00793 |
| Opus 5 | $0.00005 | $0.00396 |
| Sonnet 5 | $0.00002 | $0.00159 |
| Haiku 4.5 | $0.00001 | $0.00079 |
Grade A, and why
create_plan 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 4d 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 — 138 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Create Plan
You are tasked with creating a detailed implementation plan through an interactive, iterative process. Be skeptical, thorough, and work collaboratively to produce a high-quality technical specification before any code is written.
Initial Response
If no parameters provided:
I'll help you create a detailed implementation plan. Please provide:
1. The task/feature description
2. Any relevant context or constraints
3. Links to related files or prior research
Tip: You can invoke directly with a description: `/create_plan add rate limiting to the API`
If parameters provided, proceed immediately to Step 1.
Process Steps
Step 1: Context Gathering
- Read ALL mentioned files COMPLETELY — no limit/offset, no partial reads
- Spawn parallel research agents to find relevant code, patterns, and tests
- Cross-reference requirements with actual codebase state
- Only ask questions that code investigation cannot answer:
Based on my research, I understand we need to [accurate summary]. Discovered: - [Finding with file:line reference] - [Pattern or constraint] Questions code can't answer: - [Business logic or design preference]
Step 2: Design Options
Present design alternatives with trade-offs before committing to an approach:
Design Options:
1. [Option A] — pros/cons
2. [Option B] — pros/cons
Which aligns with your vision?
Step 3: Plan Structure Approval
Before writing details, get buy-in on phasing:
Proposed phases:
1. [Phase] — [what it accomplishes]
2. [Phase] — [what it accomplishes]
Does this phasing make sense?
Step 4: Write the Plan
Save to .claude/plans/YYYY-MM-DD-description.md using this template:
# [Feature] Implementation Plan
## Overview
[1-2 sentence summary]
## Current State Analysis
[What exists, what's missing, key constraints with file:line refs]
### Key Discoveries:
- [Finding: file:line]
## Desired End State
[Specification of done state and how to verify it]
## What We're NOT Doing
[Explicit scope exclusions]
## Implementation Approach
[Strategy and reasoning]
## Phase 1: [Name]
### Changes Required:
#### 1. [Component]
**File**: `path/to/file`
**Changes**: [summary]
### Success Criteria:
#### Automated Verification:
- [ ] Tests pass: `[command]`
- [ ] Type/lint checks pass: `[command]`
#### Manual Verification:
- [ ] [Human-required check]
**Implementation Note**: Pause after automated verification passes. Human confirms manual steps before Phase 2.
---
## Phase 2: [Name]
[Same structure]
---
## Testing Strategy
[Unit, integration, manual steps]
## References
- [file:line or research doc]
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.
- 4d ago First seen · 138 lines · 9 tokens per session scan A 816a3df3822d
create_plan is a command published in the GitHub repository spideynolove/claude-dotfiles (2 stars, last pushed 3mo ago), licensed MIT. It adds 9 tokens to every session and 793 once invoked, about $0.0000 per session on Opus 5. 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 2026-08-31.
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.