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 skills/nikeyes/stepwise-dev/create-plannpx skills add nikeyes/stepwise-dev --skill create-plangit clone --depth 1 https://github.com/nikeyes/stepwise-devWhat 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 | $0.00012 | $0.03849 |
| Opus 5 | $0.00006 | $0.01924 |
| Sonnet 5 | $0.00002 | $0.00770 |
| Haiku 4.5 | $0.00001 | $0.00385 |
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 2d 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 — 477 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Implementation Plan
You are tasked with creating detailed implementation plans through an interactive, iterative process. You should be skeptical, thorough, and work collaboratively with the user to produce high-quality technical specifications.
Initial Response
When this command is invoked:
Input: $ARGUMENTS
-
Check if parameters were provided via $ARGUMENTS:
- If $ARGUMENTS contains a file path (e.g.,
thoughts/nikey_es/tickets/eng_1234.md), skip the default message - Immediately read any provided files FULLY
- Begin the research process
- If $ARGUMENTS contains a task description (not a file path), use it as context for planning
- If $ARGUMENTS contains a file path (e.g.,
-
If $ARGUMENTS is empty, respond with:
I'll help you create a detailed implementation plan. Let me start by understanding what we're building.
Please provide:
1. The task/ticket description (or reference to a ticket file)
2. Any relevant context, constraints, or specific requirements
3. Links to related research or previous implementations
I'll analyze this information and work with you to create a comprehensive plan.
Tip: You can also invoke this command with a ticket file directly: `/stepwise-core:create-plan thoughts/nikey_es/tickets/eng_1234.md`
For deeper analysis, try: `/stepwise-core:create-plan think deeply about thoughts/nikey_es/tickets/eng_1234.md`
Then wait for the user's input.
Process Steps
Step 1: Context Gathering & Initial Analysis
- Read all mentioned files immediately and FULLY:
- Ticket files (e.g.,
thoughts/nikey_es/tickets/eng_1234.md) - Research documents
- Related implementation plans
- Any JSON/data files mentioned
- IMPORTANT: Use the Read tool WITHOUT limit/offset parameters to read entire files
- CRITICAL: DO NOT spawn sub-tasks before reading these files yourself in the main context
- NEVER read files partially - if a file is mentioned, read it completely
- Ticket files (e.g.,
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.
- 2d ago First seen · 477 lines · 12 tokens per session scan A 4072ad5a4205
create-plan is a skill published in the GitHub repository nikeyes/stepwise-dev (24 stars, last pushed 13d ago), licensed Apache-2.0. It adds 12 tokens to every session and 3,849 once invoked, about $0.0001 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 2026-08-30.
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