Borrowing it
Nothing to install: this file belongs to plipowczan/claude-piv-skeleton. 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/plipowczan/claude-piv-skeleton/main/.claude/commands/piv_loop/prime.mdgit clone --depth 1 https://github.com/plipowczan/claude-piv-skeletonWrote 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/plipowczan/claude-piv-skeleton/prime)<a href="https://agentmods.dev/commands/plipowczan/claude-piv-skeleton/prime"><img src="https://agentmods.dev/badge/commands/plipowczan/claude-piv-skeleton/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/plipowczan/claude-piv-skeleton/prime"><img src="https://agentmods.dev/badge/commands/plipowczan/claude-piv-skeleton/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 | $0.00011 | $0.01738 |
| Opus 5 | $0.00005 | $0.00869 |
| Sonnet 5 | $0.00002 | $0.00348 |
| Haiku 4.5 | $0.00001 | $0.00174 |
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 9d 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 — 302 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Prime: Load Project Context
Objective
Build comprehensive understanding of the codebase by analyzing structure, documentation, and key files, then save context to a reusable file for planning phase.
Process
1. Analyze Project Structure
List all tracked files:
git ls-files
Show directory structure:
find . -type f -name "*.java" -o -name "*.ts" -o -name "*.tsx" -o -name "*.md" | grep -v node_modules | grep -v target | head -100
2. Read Core Documentation
Must Read:
.claude/CLAUDE.md- Project overview and tech stackREADME.md- Quick start guidedocs/ARCHITECTURE.md- System architecture.claude/rules/- Modular coding rules
3. Identify Key Files
Based on the structure, identify and read:
Backend (Java 24 + Spring Boot):
backend/pom.xml- Maven dependencies and Java versionbackend/src/main/java/com/example/Application.java- Entry pointbackend/src/main/resources/application.properties- Configuration- Key controllers:
backend/src/main/java/com/example/controller/ - Key services:
backend/src/main/java/com/example/service/ - Key entities:
backend/src/main/java/com/example/entity/
Frontend (React 19 + Vite):
frontend/package.json- Dependenciesfrontend/src/main.tsx- Entry pointfrontend/src/App.tsx- Main app component- Key components:
frontend/src/components/ - Key pages:
frontend/src/pages/
4. Understand Current State
Check recent activity:
git log -10 --oneline
Check current branch and status:
git status
git branch --show-current
5. Pattern Recognition
Identify key patterns:
Backend Patterns:
- Repository pattern: Spring Data JDBC (NOT JPA)
- Service layer: @Service with @RequiredArgsConstructor
- DTOs: Separate DTO classes for API responses
- Logging: SLF4J structured logging
- Error handling: Graceful degradation, continue processing
Frontend Patterns:
- Functional components with hooks
- Context API for global state
- Axios for HTTP client
- TailwindCSS utility classes
- TypeScript interfaces
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.
- 9d ago First seen · 302 lines · 11 tokens per session scan A d583d2780940
prime is a command published in the GitHub repository plipowczan/claude-piv-skeleton (4 stars, last pushed 7mo ago), licensed MIT. It adds 11 tokens to every session and 1,738 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
minutes-ideas
Surface recent voice memos and ideas captured from any device. Use when the user asks "what ideas did I have?", "what were my recent memos?", "what did I record while walking?", or wants to recall a captured thought.
learn
Force claude-smart to extract learnings from this session now.
memory-store
Store an insight, decision, or pattern to memory.
cc-memory
Configure persistent memory that survives across sessions using a layered approach: split rule files for always-loaded context, auto-memory for organic learning, and optional MCP-backed long-term memory for large codebases.
analyze-context
USE WHEN you want to analyze project context before starting work on a task. Calls context + recall, then synthesizes goals, decisions, gotchas, and relevant memories into a pre-task brief.
lians-recall
Recall current (non-stale) facts from Lians memory, optionally as-of a past date.