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/codewithmukesh/dotnet-claude-kit/plannpx skills add codewithmukesh/dotnet-claude-kit --skill plangit clone --depth 1 https://github.com/codewithmukesh/dotnet-claude-kitWhat 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 | $0.00085 | $0.00973 |
| Opus 5 | $0.00043 | $0.00487 |
| Sonnet 5 | $0.00017 | $0.00195 |
| Haiku 4.5 | $0.00009 | $0.00097 |
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 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 — 123 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/plan -- Architecture-Aware Planning
What
Enters a structured planning mode that considers the project's architecture pattern before producing an implementation plan. Instead of jumping straight to code, this command forces a deliberate pause to:
- Identify the project's current architecture (or recommend one)
- Map the task to affected layers, modules, and boundaries
- Produce a numbered implementation plan with clear steps
- Iterate on the plan until it is solid before writing any code
Plans are living documents -- if something goes sideways during implementation, stop and re-plan rather than pushing through a broken approach.
When
- Non-trivial tasks requiring 3 or more implementation steps
- Tasks involving architectural decisions (new modules, cross-cutting concerns, new bounded contexts)
- Features that touch multiple layers (API, application, domain, infrastructure)
- Refactoring that could affect multiple consumers
- Any time the user says "plan", "think through", "design this", or "how should I approach"
Skip planning for: Single-file changes, simple bug fixes, typo corrections, config tweaks.
How
Step 1: Understand the Task
Check docs/specs/ for an approved spec covering this task — if one exists, it is
the source of truth: map its acceptance criteria to plan steps and skip ahead to
Step 2. If the feature is spec-worthy (too big to describe in one sentence) and no
spec exists, recommend /spec first instead of planning on assumptions.
Otherwise, clarify what the user wants to build with focused questions.
Do not assume requirements that were not stated.
Step 2: Detect Architecture
Use the architecture-advisor skill to determine the project's architecture:
- Check for existing architecture markers (folder structure, project references, patterns)
- If no architecture is established, run the architecture questionnaire
- Load the appropriate architecture-specific skill (vertical-slice, clean-architecture, ddd)
Step 3: Map Affected Areas
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 · 123 lines · 85 tokens per session scan A c323292d9566
plan is a skill published in the GitHub repository codewithmukesh/dotnet-claude-kit (689 stars, last pushed 26d ago), licensed MIT. It adds 85 tokens to every session and 973 once invoked, about $0.0004 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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