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 | $0.00030 | $0.00692 |
| Sonnet 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 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 — 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.
- 5d 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 yesterday), licensed MIT. It adds 59 tokens to every session and 1,385 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 2026-09-04.
Other commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
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.
specify
Create or update the feature specification from a natural language feature description.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.