clean-code

A coding guide based on clean-code practices: focused functions, clear names, manageable complexity, and explicit error handling. It can also follow project-specific rules when they exist.

In plain words
What is it for?
Use it when generating or modifying code, or when a project asks for clean code, coding standards, or better implementation quality.
Why use it?
It makes implementation code easier to read, change, and review, while reducing confusion around failures and overly complicated logic.

Skill for Claude CodeCodex

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 skills/techygarg/lattice/clean-code
Any agent
npx skills add techygarg/lattice --skill clean-code
Clone the repo
git clone --depth 1 https://github.com/techygarg/lattice

Made for: Claude Code, Codex.

Per session 126 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,428 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.

ModelPer sessionOnce invoked
Fable 5 $0.00126 $0.01428
Opus 5 $0.00063 $0.00714
Sonnet 5 $0.00025 $0.00286
Haiku 4.5 $0.00013 $0.00143

Measured 2d ago against content hash b92f19391285, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

clean-code 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 2d 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.

plugins/lattice/skills/clean-code/SKILL.md · 65 lines

How it starts

The opening of the file, as written. The whole thing — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Clean Code

Config Resolution

Projects can customize this skill's standards. Resolution order:

  1. Read .lattice/config.yaml in the repo root.
  2. If found, check paths.clean_code for a custom document path.
  3. If a custom document exists at that path, read it and check its YAML frontmatter for mode:
    • mode: override: the custom document has full precedence. Use it instead of the embedded defaults. It must be comprehensive -- treat it as the sole reference.
    • mode: overlay (or no mode field): read the embedded ./references/defaults.md first, then apply the custom document's sections on top. A custom section replaces the matching default section (matched by exact heading); new sections append after the defaults.
  4. If a custom path is configured but no document exists at it → tell the user which configured path is missing, then fall back to ./references/defaults.md.
  5. If there is no config file or no paths.clean_code key, read ./references/defaults.md.
  6. Language adaptation: if paths.language_idioms is set in the config and the document exists, read it and adapt the defaults using these sections:
    • "Error Handling" → adapt §8 (Error Handling) patterns to the language's idioms. Language idioms take precedence over the pseudocode defaults.
    • "Type System & Object Model" → adapt §1 (Single Responsibility) cohesion guidance to the language's constructs (e.g., struct vs class).
    • "Naming Conventions" → adapt §4 (Meaningful Naming) patterns to the language's conventions.
    • "Parameter & Function Design" → adapt §2 (Small, Focused Functions) and §5 (Parameter Design) to the language's capabilities.
    • "Dependency Management" → adapt §9 (Test-Friendly Code) dependency-injection patterns to the language's idioms.

Self-Validation Checklist

STOP after generating each component. Verify ALL checks. Fix every failed check before presenting. Judgment calls → present options (see Ambiguity Signals).

Read the full file on GitHub · 65 lines

Files

What ships with it

1 file 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. 2d ago First seen · 65 lines · 126 tokens per session scan A b92f19391285

Subscribe to this mod's changes

clean-code is a skill published in the GitHub repository techygarg/lattice (183 stars, last pushed 3d ago), licensed MIT. It adds 126 tokens to every session and 1,428 once invoked, about $0.0006 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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