Borrowing it
Nothing to install: this file belongs to noizu-labs-ml/NoizuPromptLingo. 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/noizu-labs-ml/NoizuPromptLingo/main/.claude/commands/init-project.mdgit clone --depth 1 https://github.com/noizu-labs-ml/NoizuPromptLingoWrote 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/noizu-labs-ml/noizupromptlingo/init-project)<a href="https://agentmods.dev/commands/noizu-labs-ml/noizupromptlingo/init-project"><img src="https://agentmods.dev/badge/commands/noizu-labs-ml/noizupromptlingo/init-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/noizu-labs-ml/noizupromptlingo/init-project"><img src="https://agentmods.dev/badge/commands/noizu-labs-ml/noizupromptlingo/init-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 | $0.00059 | $0.01385 |
| Opus 5.5 | $0.00024 | $0.00554 |
| Sonnet 5.5 | $0.00012 | $0.00277 |
| Haiku 4.5 | $0.00006 | $0.00138 |
Grade A, and why
init-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 2mo 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 — 183 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Initialize Project
Bootstrap project documentation including CLAUDE.md, docs/PROJECT-ARCH.md, and docs/PROJECT-LAYOUT.md.
Phase 1: Initialize Environment
Initialize CLAUDE.md and load dependencies:
- Use the
NPLLoadMCP tool to load NPL syntax elements:NPLLoad(expression="syntax fences directives") - Use directory exploration tools (Glob, Bash
tree) for directory structure exploration - Use Read/Grep tools for file contents retrieval
CLAUDE.md receives:
- NPL Load Directive (environment variables, loading dependencies)
- NPL Scripts reference (dump-files, git-tree, npl-load, etc.)
- SQLite Quick Guide
Phase 2: Parallel Reconnaissance
Use @npl-project-coordinator to orchestrate parallel exploration.
Critical: Delegation-First Scanning
🎯 The coordinator MUST NOT perform deep codebase exploration directly.
Instead:
-
Quick Surface Scan — Coordinator performs only lightweight initial analysis:
lstop-level directories- Read
package.json,Cargo.toml, or equivalent manifest - Check for existing
README.mdor docs - Identify project type and tech stack (~30 seconds max)
-
Immediate Delegation — Deploy scouts for all detailed exploration:
- Do NOT recursively read files
- Do NOT grep through entire codebase
- Do NOT analyze individual source files
- Let scouts handle domain-specific deep dives in parallel
-
Speed Through Parallelism — Launch all scouts simultaneously:
- Each scout operates independently
- Scouts return structured findings
- Coordinator synthesizes results (doesn't re-scan)
Why: A coordinator scanning sequentially takes 10-20x longer than parallel scouts. The coordinator's job is orchestration, not exploration.
@npl-project-coordinator
## Task
Coordinate parallel reconnaissance of this codebase to generate PROJECT-ARCH.md and PROJECT-LAYOUT.md.
## Pre-Scout Analysis (30 seconds max)
- Identify project type from manifest files
- Note top-level structure
- Determine tech stack
- Then IMMEDIATELY deploy scouts
## Scout Deployment (Parallel)
Deploy 5-7 @npl-gopher-scout agents in parallel:
| Scout | Domain | Key Targets |
|-------|--------|-------------|
| Scout-Structure | File Organization | tree, files, naming conventions |
| Scout-Layers | Architecture | tiers, boundaries, data flow |
| Scout-Domain | Business Logic | bounded contexts, entities, aggregates |
| Scout-Patterns | Code Patterns | conventions, design patterns, testing |
| Scout-Services | Infrastructure | database, cache, queues, external APIs |
| Scout-API | Interfaces | endpoints, auth, contracts, versioning |
| Scout-DevOps | Operations | CI/CD, deployment, containers, IaC |
## Exploration Instructions
Each scout should:
1. Perform deep reconnaissance of their domain
2. Return structured findings with file:line references
3. Flag uncertainties and gaps
4. Estimate confidence per finding
## Execution Rules
🎯 **All scouts MUST be launched in a single parallel batch.**
- Use ONE Task tool call per scout, ALL in the same message
- Do NOT wait for one scout before launching the next
- Do NOT have the coordinator read files between scout launches
- Scouts operate independently - no inter-scout dependencies
## Synchronization
BARRIER: All scouts must complete before synthesis phase.
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.
- 2mo ago First seen · 183 lines · 59 tokens per session scan A c7f877927017
init-project is a command published in the GitHub repository noizu-labs-ml/NoizuPromptLingo (13 stars, last pushed 10d ago), licensed MIT. It adds 59 tokens to every session and 1,385 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-09-04.
init-project compared with commands from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| init-projectnoizu-labs-ml/NoizuPromptLingo | Command | 13 | 10d ago | MIT | A | 59 | Claude Code |
| checklistgithub/spec-kit | Command | 148k | yesterday | MIT | A | 13 | Claude Code |
| clarifygithub/spec-kit | Command | 148k | yesterday | MIT | A | 27 | Claude Code |
| specifygithub/spec-kit | Command | 148k | yesterday | MIT | A | 13 | Claude Code |
| analyzegithub/spec-kit | Command | 148k | yesterday | MIT | A | 26 | Claude Code |
| convergegithub/spec-kit | Command | 148k | yesterday | MIT | A | 35 | Claude Code |
| implementgithub/spec-kit | Command | 148k | yesterday | MIT | A | 14 | Claude Code |