Borrowing it
Nothing to install: this file belongs to DimitriGeelen/agentic-engineering-framework. 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/DimitriGeelen/agentic-engineering-framework/master/.claude/commands/new-project.mdgit clone --depth 1 https://github.com/DimitriGeelen/agentic-engineering-frameworkWrote 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/dimitrigeelen/agentic-engineering-framework/new-project)<a href="https://agentmods.dev/commands/dimitrigeelen/agentic-engineering-framework/new-project"><img src="https://agentmods.dev/badge/commands/dimitrigeelen/agentic-engineering-framework/new-project/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/dimitrigeelen/agentic-engineering-framework/new-project"><img src="https://agentmods.dev/badge/commands/dimitrigeelen/agentic-engineering-framework/new-project.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 | $0.00000 | $0.00574 |
| Opus 5.5 | $0.00000 | $0.00230 |
| Sonnet 5.5 | $0.00000 | $0.00115 |
| Haiku 4.5 | $0.00000 | $0.00057 |
Grade A, and why
new-project 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 — 89 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/new-project - Initialize New Project
Guided onboarding for setting up a new project with the Agentic Engineering Framework.
Step 1: Gather Info
Ask the user (using AskUserQuestion with two questions):
- Project path — "What is the path to your project directory?"
- Options: "Current directory", "Enter path"
- AI provider — "Which AI provider will you use?"
- Options: "Claude (Recommended)", "Cursor", "Generic (any provider)"
Map provider answers: "Claude" → claude, "Cursor" → cursor, "Generic" → generic.
Step 2: Verify Prerequisites
Run in parallel:
fw doctor— check framework healthls {project_path}— verify path exists (create withmkdir -pif not)- Check if path already has
.framework.yaml— warn if re-initializing
If fw doctor shows failures, stop and help fix them first.
Step 3: Initialize Git (if needed)
Check if the project directory has a git repo:
git -C {project_path} rev-parse --git-dir 2>/dev/null
If not, initialize:
git init {project_path}
Step 4: Run fw init
fw init {project_path} --provider {provider}
Report what was created. If init fails, diagnose and fix.
Step 5: Verify Setup
cd {project_path}
fw doctor
Report results. All checks should pass. Fix any failures before proceeding.
Step 6: Start First Session
cd {project_path}
fw context init
Step 7: Create First Task
Ask the user: "What's the first thing you want to work on?"
Then run:
cd {project_path}
fw work-on "{user_description}" --type build
Print confirmation:
Project initialized and ready!
- Path: {project_path}
- Provider: {provider}
- First task: T-XXX ({task_name})
You're all set. Start coding!
Rules
- This skill is for NEW projects only. For existing projects, use
fw work-on. - Always create a git repo before running
fw init(it requires git hooks). - If the directory doesn't exist, create it with
mkdir -p. - If re-initializing an existing project, warn the user and require confirmation.
- Run
fw doctorboth before (framework check) and after (project check) init. - The skill ends by creating the first task — the user should be ready to work immediately.
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 · 89 lines · 0 tokens per session scan A 1f97379fad6e
new-project is a command published in the GitHub repository DimitriGeelen/agentic-engineering-framework (18 stars, last pushed yesterday), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 574 tokens. 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 2026-09-04.
Other commands, from other repositories
strict_full_cycle
Interactive workflow for the entire development cycle with every review gate forced on, ignoring the reviews a repository disabled in its configuration.
speckit.taskstoissues
Convert existing tasks into actionable, dependency-ordered GitHub issues for the feature based on available design artifacts.
speckit.analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
speckit.clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
speckit.constitution
Create or update the project constitution from interactive or provided principle inputs.
speckit.plan
Execute the implementation planning workflow using the plan template to generate design artifacts.