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 nasrulhazim/claude --skill project-dddgit clone --depth 1 https://github.com/nasrulhazim/claudeWrote 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/nasrulhazim/claude/project-ddd)<a href="https://agentmods.dev/skills/nasrulhazim/claude/project-ddd"><img src="https://agentmods.dev/badge/skills/nasrulhazim/claude/project-ddd/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/skills/nasrulhazim/claude/project-ddd"><img src="https://agentmods.dev/badge/skills/nasrulhazim/claude/project-ddd.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00252 | $0.03756 |
| Opus 5 | $0.00126 | $0.01878 |
| Sonnet 5 | $0.00050 | $0.00751 |
| Haiku 4.5 | $0.00025 | $0.00376 |
Grade A, and why
project-ddd 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 — 474 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Domain-Driven Design — Pragmatic Laravel
Restructure Laravel applications into domain-based organisation. Business objectives first — increase revenue, reduce OPEX, ship faster. Not academic DDD, but practical domain separation that your team can maintain.
Philosophy
"Kita orang meniaga nak increase sales, kurangkan OPEX. Bukan nak berfilasuf pasal kod."
This skill applies DDD where it creates real business value:
- Clear ownership — each domain maps to a business capability, team knows what they own
- Independent velocity — domains can evolve without breaking each other
- Reduced OPEX — less accidental complexity, faster onboarding, fewer cross-cutting bugs
- Business alignment — code structure mirrors how the business actually works
Command Reference
| Command | Description |
|---|---|
/project-ddd discover |
Interview to identify bounded contexts from business processes |
/project-ddd plan |
Generate migration plan from flat Laravel to domain structure |
/project-ddd scaffold |
Scaffold a new domain with all layers |
/project-ddd migrate |
Move existing code into domain structure (guided, step-by-step) |
/project-ddd wire |
Create/update domain service providers and autoloading |
/project-ddd test |
Update architecture tests for DDD structure |
/project-ddd audit |
Check existing domain structure for violations |
Companion: graphify
graphify builds a persistent, queryable knowledge graph of a codebase — tree-sitter AST
parsing for code plus semantic extraction for docs. It answers structural questions far faster
than grepping, and it is installed by default with this toolkit.
Use it before a manual sweep whenever the question is structural.
graphify extract . # build (or refresh) the graph — once per repo
graphify query "how does authentication work"
graphify path UserController InvoiceRepository # call chain between two nodes
graphify explain app/Services/BillingService.php
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 Changed · +22 lines b68a146c5160
- 9d ago First seen · 452 lines · 252 tokens per session scan A a00783709566
project-ddd is a skill published in the GitHub repository nasrulhazim/claude (22 stars, last pushed 6d ago), licensed MIT. It adds 252 tokens to every session and 3,756 once invoked, about $0.0013 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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