Project Starter is a workflow plugin that equips coding agents with specialized subagents, reusable skills, commands, hooks, and output styles for software projects. It is for developers who want structured assistance with tasks such as planning, debugging, code review, security, and automation across several coding-agent platforms. Catalogue add-ons are components of its own workflow.
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/cloudai-x/claude-workflow-v2/analyzing-projectsnpx skills add CloudAI-X/claude-workflow-v2 --skill analyzing-projectsgit clone --depth 1 https://github.com/CloudAI-X/claude-workflow-v2Wrote 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/cloudai-x/claude-workflow-v2/analyzing-projects)<a href="https://agentmods.dev/skills/cloudai-x/claude-workflow-v2/analyzing-projects"><img src="https://agentmods.dev/badge/skills/cloudai-x/claude-workflow-v2/analyzing-projects.svg" alt="Measured on agentmods" 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 | $0.00050 | $0.01002 |
| Opus 5 | $0.00025 | $0.00501 |
| Sonnet 5 | $0.00010 | $0.00200 |
| Haiku 4.5 | $0.00005 | $0.00100 |
Grade A, and why
analyzing-projects 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 5d 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 — 161 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Analyzing Projects
When to Load
- Trigger: Onboarding to a new project, "how does this work" questions, codebase exploration, understanding unfamiliar code
- Skip: Already familiar with the project structure and patterns
Project Analysis Workflow
Copy this checklist and track progress:
Project Analysis Progress:
- [ ] Step 1: Quick overview (README, root files)
- [ ] Step 2: Detect tech stack
- [ ] Step 3: Map project structure
- [ ] Step 4: Identify key patterns
- [ ] Step 5: Find development workflow
- [ ] Step 6: Generate summary report
Step 1: Quick Overview
# Check for common project markers
ls -la
cat README.md 2>/dev/null | head -50
Step 2: Tech Stack Detection
Package Managers & Dependencies
package.json→ Node.js/JavaScript/TypeScriptrequirements.txt/pyproject.toml/setup.py→ Pythongo.mod→ GoCargo.toml→ Rustpom.xml/build.gradle→ JavaGemfile→ Ruby
Frameworks (from dependencies)
- React, Vue, Angular, Next.js, Nuxt
- Express, FastAPI, Django, Flask, Rails
- Spring Boot, Gin, Echo
Infrastructure
Dockerfile,docker-compose.yml→ Containerizedkubernetes/,k8s/→ Kubernetesterraform/,.tffiles → IaCserverless.yml→ Serverless Framework.github/workflows/→ GitHub Actions
Step 3: Project Structure Analysis
Present as a tree with annotations:
project/
├── src/ # Source code
│ ├── components/ # UI components (React/Vue)
│ ├── services/ # Business logic
│ ├── models/ # Data models
│ └── utils/ # Shared utilities
├── tests/ # Test files
├── docs/ # Documentation
└── config/ # Configuration
Step 4: Key Patterns Identification
Look for and report:
- Architecture: Monolith, Microservices, Serverless, Monorepo
- API Style: REST, GraphQL, gRPC, tRPC
- State Management: Redux, Zustand, MobX, Context
- Database: SQL, NoSQL, ORM used
- Authentication: JWT, OAuth, Sessions
- Testing: Jest, Pytest, Go test, etc.
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.
- 5d ago First seen · 161 lines · 50 tokens per session scan A e548dfccb74f
analyzing-projects is a skill published in the GitHub repository CloudAI-X/claude-workflow-v2 (1,413 stars, last pushed 10d ago), licensed MIT. It adds 50 tokens to every session and 1,002 once invoked, about $0.0003 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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