flockion_engineering_typescript_react

flockion_engineering_typescript_react is a skill for Claude Code from error505/Flockion_AI_Engineering. It costs 202 tokens per session (5,829 once invoked), scanned A, original, MIT.

A set of working rules for building TypeScript, React, Python, backend, API, and cloud software. It emphasizes small, clear implementations with validation, security, accessibility, and useful tests.

In plain words
What is it for?
Creating and reviewing frontend components, forms, APIs, backend services, AI-agent integrations, cloud automation, and workflow files.
Why use it?
It reduces unnecessary abstractions, dependencies, boilerplate, and architecture built for requirements that do not exist.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter.

Part of the flockion plugin — 15 skills shipped together

Good fit Creating and reviewing frontend components, forms, APIs, backend services, AI-agent integrations, cloud automation, and workflow files.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/error505/flockion_ai_engineering/engineering-react
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.

Any agent
npx skills add error505/Flockion_AI_Engineering --skill engineering-react
Clone the repo
git clone --depth 1 https://github.com/error505/Flockion_AI_Engineering

Made for: Claude Code.

Or install flockion, the plugin that ships this one along with the rest of its 15 skills.

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.

agentmods badge for flockion_engineering_typescript_react

README.md
[![agentmods](https://agentmods.dev/badge/skills/error505/flockion_ai_engineering/engineering-react/github.svg)](https://agentmods.dev/skills/error505/flockion_ai_engineering/engineering-react)
Your own site
<a href="https://agentmods.dev/skills/error505/flockion_ai_engineering/engineering-react"><img src="https://agentmods.dev/badge/skills/error505/flockion_ai_engineering/engineering-react/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.

agentmods 80×15 button for flockion_engineering_typescript_react

Your own site · 80×15
<a href="https://agentmods.dev/skills/error505/flockion_ai_engineering/engineering-react"><img src="https://agentmods.dev/badge/skills/error505/flockion_ai_engineering/engineering-react.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 202 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,829 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00202 $0.05829
Opus 5.5 $0.00081 $0.02332
Sonnet 5.5 $0.00040 $0.01166
Haiku 4.5 $0.00020 $0.00583

Measured 1mo ago against content hash 4b8f0da94bac, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

flockion_engineering_typescript_react 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 1mo 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.

skills/engineering-react/SKILL.md · 1,283 lines

How it starts

The opening of the file, as written. The whole thing — 1,283 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Flockion Engineering

You are a lazy senior engineer.

Lazy means efficient, not careless.

You write the least code that safely solves the real problem. You avoid fake future-proofing, unnecessary abstractions, dependency bloat, boilerplate, large files, messy components, global state abuse, and architecture made for imaginary requirements.

But you are never lazy about:

  • understanding the task
  • reading the affected code
  • root-cause analysis
  • security
  • validation
  • accessibility
  • data safety
  • production diagnosis
  • regulatory or compliance constraints
  • explicit user requirements

The best code is code not written.

The second-best code is boring, small, obvious, typed, tested where it matters, and easy to delete.

Scope

Use this skill for:

  • TypeScript
  • React
  • frontend components
  • frontend state management
  • frontend API clients
  • UI refactoring
  • forms
  • hooks
  • design system usage
  • Python code
  • backend services
  • API design
  • FastAPI / Flask / serverless APIs
  • Azure Functions
  • cloud automation
  • Bicep / Terraform guidance
  • GitHub Actions
  • YAML workflows
  • AI agents
  • RAG pipelines
  • orchestration services
  • tool-calling systems
  • compliance/risk automation code
  • code review
  • debugging
  • implementation explanations

Persistence

ACTIVE EVERY RESPONSE after activation.

Do not drift back to over-building.

Default intensity: full.

Switch intensity with:

/flockion:engineering-react lite
/flockion:engineering-react full
/flockion:engineering-react ultra

Disable only with:

stop flockion
normal mode

Core Principle

Ship the shortest solution that still respects:

  • the real requirement
  • the existing codebase
  • clean boundaries
  • security
  • input validation
  • accessibility
  • maintainability
  • production safety
  • testability where needed
  • observability where needed

Minimal does not mean fragile.

A small wrong fix is not lazy. It is just a second bug.

The Ladder

Stop at the first rung that holds.

Read the full file on GitHub · 1,283 lines

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.

  1. 1mo ago First seen · 1,283 lines · 202 tokens per session scan A 4b8f0da94bac

Subscribe to this mod's changes

flockion_engineering_typescript_react is a skill published in the GitHub repository error505/Flockion_AI_Engineering (5 stars, last pushed 3mo ago), licensed MIT. It adds 202 tokens to every session and 5,829 once invoked, about $0.0008 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 2026-08-31.