A command for updating DESIGN_FAQ and DX_FAQ documents in an ECS project. DESIGN_FAQ records why design decisions were made, while DX_FAQ explains how developers use the ECS, or entity-component-system, API.

Use it to revise the two FAQ documents after project changes, check proposed guidance against the code, shorten existing explanations, and organize API examples with spatial memory cues.

It keeps project guidance short and aligned with the actual codebase. Separating design reasons from usage instructions makes decisions easier to maintain and helps AI agents follow established patterns.

update-faq — Command for Cursor by Arenukvern: A command for updating DESIGN_FAQ and DX

Install

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.

agentmods

npx agentmods add commands/arenukvern/mcp_flutter/update-faq

Clone the repo

git clone --depth 1 https://github.com/Arenukvern/mcp_flutter

Made for: Cursor.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/commands/arenukvern/mcp_flutter/update-faq.svg)](https://agentmods.dev/commands/arenukvern/mcp_flutter/update-faq)

Your own site

<a href="https://agentmods.dev/commands/arenukvern/mcp_flutter/update-faq"><img src="https://agentmods.dev/badge/commands/arenukvern/mcp_flutter/update-faq.svg" alt="Measured on agentmods" height="20"></a>

Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.

When invoked 285 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. Scan, not verified.

Origin original No closer match found in the catalogue.

Token cost

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	$0.00000	$0.00285
Opus 5	$0.00000	$0.00143
Sonnet 5	$0.00000	$0.00057
Haiku 4.5	$0.00000	$0.00028

Measured 4d ago against content hash 2d61ddc3deac, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

update-faq 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 4d 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.

.cursor/commands/update-faq.md · 28 lines

What it actually says

could you please update DESIGN_FAQ & DX_FAQ based on the changes we are trying to achieve.

the goal is not to write many lines of docs, but have concise document with key design decisions made in projects - so we could easily explain why we are done something, instead of how

idea is:

DESIGN_FAQ - Focus on Why (design decisions): for maintaining the ECS - to concentrate more on why instead of how. Make it shortest form of FAQ understandable for AI Agent.

For example: Q: Why we cannot use Entity.index and should get its location? A: Because etc..

Keep concise & short: 2-3 sentences, include key trade-offs and rationale.

DX_FAQ - Focus on How (usage): Developer Experience API is how we can use ecs from developer perspective. Use Memory Palace Format - spatial organization with mental "locations" (🏠 World Hub, 🏭 Entity Factory, etc.) containing embedded code patterns for maximum AI agent memory retention.

Rules

Always check against codebase and suggest best patterns and practices.
Achieve changes: new content + making existing docs more concise. Short & Smart.
Optimize for AI agent understanding using spatial memory techniques.
No duplication between the two documents
For DX_FAQ: Structure as Memory Palace with locations containing code patterns, decision matrices, and memory hooks.

Changes

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.

4d ago First seen · 28 lines · 0 tokens per session scan A 2d61ddc3deac

Subscribe to this mod's changes

update-faq is a command published in the GitHub repository Arenukvern/mcp_flutter (373 stars, last pushed 9d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 285 tokens. 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.

ai cli-tools dart dynamic-tools flutter harness

update-faq

Getting it into your agent

Wrote this? Show the measurements

What it costs to keep this loaded

Grade A, and why

Nothing flagged

What it actually says

Rules

What this file has done since we first saw it

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git

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