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/yeaight7/agent-powerups/refactor-plangit clone --depth 1 https://github.com/yeaight7/agent-powerupsWhat 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 | $0.00018 | $0.00198 |
| Opus 5 | $0.00009 | $0.00099 |
| Sonnet 5 | $0.00004 | $0.00040 |
| Haiku 4.5 | $0.00002 | $0.00020 |
Grade A, and why
refactor-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.
What it actually says
Refactoring Plan
You are a senior software architect. Draft a comprehensive, step-by-step plan for refactoring the requested code or architecture.
Target
$ARGUMENTS
Planning Requirements
- Goal Definition: Clarify the end state of the refactoring (e.g., decoupling a monolith, upgrading a core framework, extracting a service).
- Safety Net: Define the testing strategy required before any code is modified.
- Execution Phases: Break the refactoring into isolated, verifiable phases. Each phase must leave the system in a deployable state.
- Rollback Strategy: Provide a clear rollback or fallback mechanism for each phase in case of unexpected failures.
Do not write the final refactored code yet. Focus exclusively on delivering a structured, low-risk execution plan that a developer can follow systematically.
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 · 21 lines · 18 tokens per session scan A de9e599ac67b
refactor-plan is a command published in the GitHub repository yeaight7/agent-powerups (6 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 18 tokens to every session and 198 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 2026-08-31.
Other commands, from other repositories
end-session
Wrap up the work session with read-only evidence gathering, owner-classified documentation handoffs, gated issue sync, Kano refinement, and git hygiene checks.
test-feature
Test a React Native feature on the running simulator/emulator. Verifies UI, user flows, and internal state. Generates a persistent Maestro test file.
t800-bootstrap
Запускайте один раз при установке плагина или для новичка в чате.
validate-pipeline
Validate data pipeline configuration and data quality rules.
advisor
Get a second opinion from Codex (GPT-5) on your current plan, diff, or a specific question.
aidd-pr
Review a PR, resolve addressed comments, and generate /aidd-fix delegation prompts for remaining issues.