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/danielvm-git/bigpowers/plan-refactornpx skills add danielvm-git/bigpowers --skill plan-refactorgit clone --depth 1 https://github.com/danielvm-git/bigpowersWhat 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 | $0.00056 | $0.00724 |
| Opus 5 | $0.00028 | $0.00362 |
| Sonnet 5 | $0.00011 | $0.00145 |
| Haiku 4.5 | $0.00006 | $0.00072 |
Grade A, and why
plan-refactor 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 — 88 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Plan Refactor
HARD GATE — HARD GATE — Before refactoring, document the current behavior and why it is wrong. Extract one invariant that must be preserved. If you skip this, you will break things you don't expect.
Create a detailed refactor plan through a user interview. Save output to specs/REFACTOR_LATEST.md.
Steps
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Ask the user for a long, detailed description of the problem they want to solve and any potential ideas for solutions.
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Explore the repo to verify their assertions and understand the current state of the codebase.
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Ask whether they have considered other options, and present other options to them.
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Interview the user about the implementation. Be extremely detailed and thorough.
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Hammer out the exact scope of the implementation. Work out what you plan to change and what you plan not to change.
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Look in the codebase to check for test coverage of this area. If there is insufficient test coverage, ask the user what their plans for testing are.
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Break the implementation into a plan of tiny commits. Remember Martin Fowler's advice: "make each refactoring step as small as possible, so that you can always see the program working."
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Save the refactor plan to
specs/REFACTOR_LATEST.md. Create thespecs/directory if it doesn't exist.
Problem Statement
The problem that the developer is facing, from the developer's perspective.
Solution
The solution to the problem, from the developer's perspective.
Commits
A LONG, detailed implementation plan. Write the plan in plain English, breaking down the implementation into the tiniest commits possible. Each commit should leave the codebase in a working state.
Each commit entry follows this format:
N. <commit description> → verify: <runnable command>
Decision Document
A list of implementation decisions that were made:
- The modules that will be built/modified
- The interfaces of those modules that will be modified
- Technical clarifications from the developer
- Architectural decisions
- Schema changes, API contracts, specific interactions
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 · 88 lines · 56 tokens per session scan A 290ad2d032d9
plan-refactor is a skill published in the GitHub repository danielvm-git/bigpowers (156 stars, last pushed 25d ago), licensed MIT. It adds 56 tokens to every session and 724 once invoked, about $0.0003 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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bmad-validate-prd
Validate a PRD against standards. Use when the user says "validate this PRD" or "run PRD validation".