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 skills add 0xrafasec/ai-workflow --skill new-projectgit clone --depth 1 https://github.com/0xrafasec/ai-workflowWrote 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/0xrafasec/ai-workflow/new-project)<a href="https://agentmods.dev/skills/0xrafasec/ai-workflow/new-project"><img src="https://agentmods.dev/badge/skills/0xrafasec/ai-workflow/new-project.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 5.1 | $0.00096 | $0.01232 |
| Opus 5 | $0.00048 | $0.00616 |
| Sonnet 5 | $0.00019 | $0.00246 |
| Haiku 4.5 | $0.00010 | $0.00123 |
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 7d 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 — 148 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Scaffold a new project with the AI-assisted development workflow.
Argument format: <project-name> [language/framework]
<project-name>(required) — name of the project directory to create[language/framework](optional) — the tech stack, used to tailor Makefile targets, linter config, .gitignore, and pre-commit hooks. Examples:python,python/fastapi,go,typescript/nextjs,rust. If omitted, you will be asked.
Examples:
/new-project my-api python/fastapi— creates./my-api/with Python/FastAPI tooling/new-project my-cli go— creates./my-cli/with Go tooling/new-project my-app— creates./my-app/, asks what stack to use
Process
1. Interview (if needed)
If no language/framework was given, ask the user:
- What language/framework?
- What type of project? (API, CLI, library, web app, etc.)
- Any specific tooling preferences? (test framework, linter, etc.)
2. Initialize the project
Create the project directory inside the current working directory and initialize git:
mkdir -p <project-name>
cd <project-name>
git init
The project is created at $PWD/<project-name>/. If you want it elsewhere, cd to the desired parent directory first.
3. Create workflow structure
Create these directories:
.claude/
.claude/agents/
docs/
docs/specs/
docs/roadmap/
docs/adr/
docs/rfc/
Note: Skills are installed globally at ~/.claude/skills/. Do NOT create project-level skill copies — they'd duplicate and drift from the global versions. The global skills (/architecture, /tdd, /security, /adr, /rfc, /spec, /roadmap, /feature, /fix, /review, /autopilot) are already available. For stack-aware code review, install Anthropic's official code-review skill from claude-code-plugins. Only create project-level agents and settings.
4. Create CLAUDE.md
Create a CLAUDE.md at the project root tailored to the language/framework:
# CLAUDE.md
## Build & Test
- `make test` — run test suite
- `make lint` — run linters
- `make typecheck` — type checking (if applicable)
- `make build` — build the project (if applicable)
## Code Style
- [Language-specific conventions that Claude might get wrong]
## Architecture
- [Brief description of project structure]
## Workflow
- All PRs require passing CI + human review
- Commit messages use conventional commits (feat:, fix:, refactor:, chore:)
- Security-sensitive changes require /sec-review before PR
- Features start with a spec in docs/specs/
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.
- 7d ago First seen · 148 lines · 96 tokens per session scan A d2861b9b0942
new-project is a skill published in the GitHub repository 0xrafasec/ai-workflow (9 stars, last pushed 5d ago), licensed MIT. It adds 96 tokens to every session and 1,232 once invoked, about $0.0005 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.
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