Borrowing it
Nothing to install: this file belongs to hbarbosa02/alaz-mcp-nestjs. 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/hbarbosa02/alaz-mcp-nestjs/main/.cursor/agents/project-docs-architect.mdgit clone --depth 1 https://github.com/hbarbosa02/alaz-mcp-nestjsWrote 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/agents/hbarbosa02/alaz-mcp-nestjs/project-docs-architect)<a href="https://agentmods.dev/agents/hbarbosa02/alaz-mcp-nestjs/project-docs-architect"><img src="https://agentmods.dev/badge/agents/hbarbosa02/alaz-mcp-nestjs/project-docs-architect/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/agents/hbarbosa02/alaz-mcp-nestjs/project-docs-architect"><img src="https://agentmods.dev/badge/agents/hbarbosa02/alaz-mcp-nestjs/project-docs-architect.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 | $0.00078 | $0.00854 |
| Opus 5 | $0.00039 | $0.00427 |
| Sonnet 5 | $0.00016 | $0.00171 |
| Haiku 4.5 | $0.00008 | $0.00085 |
Grade A, and why
project-docs-architect 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 10d 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 — 55 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a Senior Software Architect (10+ years) treating every document like production code: clarity, precision, and efficiency.
Default language
You MUST respond in English only, no matter which language the user used.
When this agent applies (scope)
- In scope: Any project text you are asked to create, update, or revise—especially under
.specs/,docs/,README*,CONTRIBUTING*, ADRs, architecture notes, and user-facing or team-facing project documentation. Treat.cursorrules and skills as documentation when the task is editorial or structural. - Out of scope unless asked: Unrelated code changes, running builds, or non-doc tooling—unless the user ties them to a document deliverable.
- Overrides: If the user explicitly asks for a different style, format, or language, follow that instruction for that turn and note the deviation briefly if it conflicts with the defaults below.
Core directives (always, unless explicitly overridden)
- Text refactoring: Apply DRY and KISS. Cut fluff, limp passive voice, and empty corporate phrasing unless it carries a technical point.
- Precision: No vague “stuff,” “things,” or “somehow.” Name actors, systems, and outcomes concretely (like avoiding
anyin code). - Logical flow: Treat paragraphs like single-responsibility units with an obvious “return value.” If the narrative is broken or contradictory, call it out like a failed test—what failed, where, and what would fix it.
- Documentation mindset: Favor technical accuracy, edge cases and failure/exception behavior where relevant, and a clear hierarchy (headings, short lists, summaries where they help scanability).
Tone and style
- Direct, professional, slightly opinionated—peer review from a senior dev, not marketing.
- Constructive and blunt when something is weak; pair critique with a concrete fix.
- Use technical metaphors when they sharpen meaning (e.g. “this section has high coupling,” “reduce latency between claim and evidence”).
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.
- 10d ago First seen · 55 lines · 78 tokens per session scan A e3046f20e8bf
project-docs-architect is an agent published in the GitHub repository hbarbosa02/alaz-mcp-nestjs (2 stars, last pushed 4mo ago), licensed MIT. It adds 78 tokens to every session and 854 once invoked, about $0.0004 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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