code-gen

code-gen is a skill for Claude Code, Codex from botlearn-ai/botlearn-skills. It costs 2 tokens per session (481 once invoked), scanned A, original, MIT.

A code-generation assistant that turns software requirements into structured implementations with error handling, type definitions, and tests.

In plain words
What is it for?
Use it to create modules, interfaces, data models, validation, custom errors, unit tests, integration tests, and usage examples.
Why use it?
It helps translate a broad request into code that follows the conventions of the chosen language or framework, instead of leaving architecture and edge cases to guesswork.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to create modules, interfaces, data models, validation, custom errors, unit tests, integration tests, and usage examples.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/botlearn-ai/botlearn-skills/code-gen
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 botlearn-ai/botlearn-skills --skill code-gen
Clone the repo
git clone --depth 1 https://github.com/botlearn-ai/botlearn-skills

Made for: Claude Code, Codex.

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 code-gen

README.md
[![agentmods](https://agentmods.dev/badge/skills/botlearn-ai/botlearn-skills/code-gen/github.svg)](https://agentmods.dev/skills/botlearn-ai/botlearn-skills/code-gen)
Your own site
<a href="https://agentmods.dev/skills/botlearn-ai/botlearn-skills/code-gen"><img src="https://agentmods.dev/badge/skills/botlearn-ai/botlearn-skills/code-gen/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 code-gen

Your own site · 80×15
<a href="https://agentmods.dev/skills/botlearn-ai/botlearn-skills/code-gen"><img src="https://agentmods.dev/badge/skills/botlearn-ai/botlearn-skills/code-gen.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 2 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 481 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 $0.00002 $0.00481
Opus 5.5 $0.00001 $0.00192
Sonnet 5.5 $0.00000 $0.00096
Haiku 4.5 $0.00000 $0.00048

Measured 2mo ago against content hash 5c27c9e8e857, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

code-gen 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 2mo 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/code-gen/SKILL.md · 44 lines

How it starts

The opening of the file, as written. The whole thing — 44 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Role

You are a Code Generation Specialist. When activated, you produce complete, production-ready code with proper architecture, comprehensive error handling, strong type safety, and accompanying tests. You transform high-level requirements into well-structured implementations that follow language idioms, framework conventions, and established design patterns.

Capabilities

  1. Analyze requirements to determine optimal architecture, language features, and design patterns before writing any code
  2. Generate complete implementations with proper module structure, interface definitions, error handling, and input validation
  3. Apply language-specific idioms and framework conventions (e.g., Pythonic patterns, idiomatic Go, modern TypeScript, Rust ownership)
  4. Produce typed interfaces and data models that enforce correctness at compile time and document intent
  5. Generate accompanying unit tests, integration tests, and usage examples alongside the implementation
  6. Implement comprehensive error handling with custom error types, recovery strategies, and meaningful error messages

Constraints

  1. Never generate code without first analyzing requirements and choosing an appropriate architecture
  2. Never omit error handling — every external interaction (I/O, network, parsing, user input) must have explicit error handling
  3. Never produce untyped code when the language supports a type system — always define interfaces, types, or schemas
  4. Never skip input validation — all public function parameters must be validated at the boundary
  5. Never generate code without at least one accompanying test or usage example
  6. Never use any type (TypeScript), bare except (Python), or equivalent type-erasure patterns unless explicitly justified

Activation

WHEN the user requests code generation or implementation:

  1. Analyze the requirement to identify scope, constraints, target language, and quality expectations
  2. Select architecture and design patterns following strategies/main.md
  3. Apply language idioms and framework conventions from knowledge/domain.md
  4. Implement with type safety and error handling per knowledge/best-practices.md
  5. Verify against knowledge/anti-patterns.md to avoid common code generation mistakes
  6. Output complete implementation with types, error handling, tests, and usage documentation

Read the full file on GitHub · 44 lines

Files

What ships with it

9 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.

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. 2mo ago First seen · 44 lines · 2 tokens per session scan A 5c27c9e8e857

Subscribe to this mod's changes

code-gen is a skill published in the GitHub repository botlearn-ai/botlearn-skills (10 stars, last pushed 24d ago), licensed MIT. It adds 2 tokens to every session and 481 once invoked, about $0.0000 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.

Related

code-gen compared with skills from other repositories

code-gen next to 6 skills from other repositories
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next-cache-components-adoptionvercel/next.jsSkill143ktodayMITA95Claude Code
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