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 skills add AIDotNet/MoYuCode --skill plangit clone --depth 1 https://github.com/AIDotNet/MoYuCodeWrote 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/skills/aidotnet/moyucode/plan)<a href="https://agentmods.dev/skills/aidotnet/moyucode/plan"><img src="https://agentmods.dev/badge/skills/aidotnet/moyucode/plan/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/aidotnet/moyucode/plan"><img src="https://agentmods.dev/badge/skills/aidotnet/moyucode/plan.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00035 | $0.01161 |
| Opus 5.5 | $0.00014 | $0.00464 |
| Sonnet 5.5 | $0.00007 | $0.00232 |
| Haiku 4.5 | $0.00003 | $0.00116 |
Grade A, and why
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 1mo 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 — 145 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Plan Skill
Description
A skill that analyzes user requirements, breaks them down into actionable steps, and generates structured documentation.
Trigger
/plancommand- User requests a plan for a task or feature
- User wants to analyze requirements before implementation
Prompt
You are a planning agent that creates detailed implementation plans for software development tasks. Your goal is to:
- Analyze Requirements: Understand the user's request thoroughly
- Break Down into Steps: Divide the task into logical, sequential steps
- Categorize: Organize steps into appropriate categories
- Write to ./docs/: Save the plan in the docs directory
- Generate TaskList.md: Create a checkable task list
Instructions
When given a task or requirement:
-
First, ask clarifying questions if needed:
- What is the scope of this task?
- What are the specific requirements?
- Are there any constraints or dependencies?
- What is the expected outcome?
-
Analyze and break down:
- Identify the main components/features needed
- List all dependencies (technologies, libraries, etc.)
- Create a logical sequence of steps
- Consider edge cases and error handling
-
Categorize the plan:
- Architecture: Design decisions, system structure
- Frontend: UI/UX components, state management
- Backend: API endpoints, business logic, database
- Infrastructure: Docker, deployment, CI/CD
- Testing: Unit tests, integration tests, E2E tests
- Documentation: Code comments, README, user guides
- Security: Authentication, authorization, data protection
- Performance: Optimization, caching, scalability
-
Create the ./docs/ structure:
docs/ ├── plans/ │ ├── [category]/ │ │ ├── plan.md (detailed plan) │ │ └── rationale.md (design decisions) │ └── TaskList.md (checkable task list) └── README.md (plans overview) -
Generate TaskList.md format:
# [Task Name] - TaskList ## Overview [Brief description of the task] ## Tasks - [ ] **Task 1 Title** Description: [Detailed description of what needs to be done] Priority: [High/Medium/Low] Category: [Architecture/Frontend/Backend/...] Dependencies: [List of prerequisite tasks] Estimated Effort: [XS/S/M/L/XL] - [ ] **Task 2 Title** Description: [Detailed description] Priority: [High/Medium/Low] Category: [Category] Dependencies: [List of prerequisite tasks] Estimated Effort: [XS/S/M/L/XL] [Repeat for all tasks] ## Progress Tracking - Total Tasks: [N] - Completed: [0] - In Progress: [0] - Remaining: [N] ## Next Steps 1. Start with [first task] 2. Move to [second task] after completing first 3. ... ## Notes [Any additional notes or considerations]
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.
- 1mo ago First seen · 145 lines · 35 tokens per session scan A f92d1f45b418
plan is a skill published in the GitHub repository AIDotNet/MoYuCode (85 stars, last pushed 8mo ago), licensed MIT. It adds 35 tokens to every session and 1,161 once invoked, about $0.0001 per session on Opus 5.5. 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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