Borrowing it
Nothing to install: this file belongs to jui-hung-yuan/smarthome-mcp-lab. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/jui-hung-yuan/smarthome-mcp-lab/main/.claude/commands/core_piv_loop/prime.mdgit clone --depth 1 https://github.com/jui-hung-yuan/smarthome-mcp-labWrote 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/commands/jui-hung-yuan/smarthome-mcp-lab/prime)<a href="https://agentmods.dev/commands/jui-hung-yuan/smarthome-mcp-lab/prime"><img src="https://agentmods.dev/badge/commands/jui-hung-yuan/smarthome-mcp-lab/prime/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/commands/jui-hung-yuan/smarthome-mcp-lab/prime"><img src="https://agentmods.dev/badge/commands/jui-hung-yuan/smarthome-mcp-lab/prime.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 | $0.00006 | $0.00365 |
| Opus 5 | $0.00003 | $0.00182 |
| Sonnet 5 | $0.00001 | $0.00073 |
| Haiku 4.5 | $0.00001 | $0.00036 |
Grade A, and why
prime 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 10d 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.
This is a copy
100% identical to prime — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Prime: Load Project Context
Objective
Build comprehensive understanding of the codebase by analyzing structure, documentation, and key files.
Process
1. Analyze Project Structure
List all tracked files:
!git ls-files
Show directory structure:
On Linux, run: tree -L 3 -I 'node_modules|__pycache__|.git|dist|build'
2. Read Core Documentation
- Read CLAUDE.md or similar global rules file
- Read README files at project root and major directories
- Read any architecture documentation
3. Identify Key Files
Based on the structure, identify and read:
- Main entry points (main.py, index.ts, app.py, etc.)
- Core configuration files (pyproject.toml, package.json, tsconfig.json)
- Key model/schema definitions
- Important service or controller files
4. Understand Current State
Check recent activity:
!git log -10 --oneline
Check current branch and status:
!git status
Output Report
Provide a concise summary covering:
Project Overview
- Purpose and type of application
- Primary technologies and frameworks
- Current version/state
Architecture
- Overall structure and organization
- Key architectural patterns identified
- Important directories and their purposes
Tech Stack
- Languages and versions
- Frameworks and major libraries
- Build tools and package managers
- Testing frameworks
Core Principles
- Code style and conventions observed
- Documentation standards
- Testing approach
Current State
- Active branch
- Recent changes or development focus
- Any immediate observations or concerns
Make this summary easy to scan - use bullet points and clear headers.
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.
- 10d ago First seen · 74 lines · 6 tokens per session scan A 229f59045da9
prime is a command published in the GitHub repository jui-hung-yuan/smarthome-mcp-lab (0 stars, last pushed 1mo ago), licensed MIT. It adds 6 tokens to every session and 365 once invoked, about $0.0000 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to prime, differing in 0 lines, and is treated as a copy.
Other commands, from other repositories
sdd-init
Initialize SDD context — detects project stack and bootstraps persistence backend.
review-branch
Review the current branch's diff against base by dispatching atomic-reviewer. No orchestration loop, no spec required — pre-flight before /commit pr or /commit merge.
init
Install the formatters this repository needs, with every command visible before it runs.
merge-conflict-analysis
You are analyzing merge conflicts for PR #${{ pr-number }}.
repo-audit
Audit a codebase (local or remote GitHub/GitLab) against architecture principles and requirements, surfacing drift, risk, and missing decisions.
argos
A command for checking whether an implementation matches its design deliverables. Its Korean description compares the work to the design as part of a completion inspection.