engineering

engineering is a skill for Claude Code from wellwelwel/lagune. It costs 39 tokens per session (1,232 once invoked), scanned A, original, MIT.

Engineering instructions for Lagune, a TypeScript command-line tool. They cover its runtimes, code rules, build and distribution process, tests, and change-tracking hooks.

In plain words
What is it for?
For developing, testing, building, and distributing Lagune code, including its TypeScript source, ES module setup, runtime-specific tests, and deterministic tracking hooks.
Why use it?
They help contributors make source changes that work across Node.js, Bun, and Deno and follow the project’s type-checking and testing process.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter.

Good fit For developing, testing, building, and distributing Lagune code, including its TypeScript source, ES module setup, runtime-specific tests, and deterministic tracking hooks.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/wellwelwel/lagune/engineering
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 wellwelwel/lagune --skill engineering
Clone the repo
git clone --depth 1 https://github.com/wellwelwel/lagune

Made for: Claude Code.

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 engineering

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/wellwelwel/lagune/engineering"><img src="https://agentmods.dev/badge/skills/wellwelwel/lagune/engineering.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 39 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,232 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. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium MCP Rug Pull · line 51
    npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.
    Fix: Pin the version: npx @scope/[email protected]
How audits are shown
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 $0.00039 $0.01232
Opus 5.5 $0.00016 $0.00493
Sonnet 5.5 $0.00008 $0.00246
Haiku 4.5 $0.00004 $0.00123

Measured 17d ago against content hash db32f60a99c3, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

engineering 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 17d 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.

.claude/skills/engineering/SKILL.md · 68 lines

How it starts

The opening of the file, as written. The whole thing — 68 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Engineering

This skill is the specialized, authoritative description of how code is written: the code conventions, the comment discipline, the type rules, testing, and commit messages. Consult it before writing or changing source, and whenever you apply the code conventions.

Where the project already has an established convention that contradicts one below, follow the project. These rules decide whatever the project leaves open.

Code conventions

Security

  • Use the /lagune skill (lagune.ai), whenever you build or change code, so it improves safety by default. If it is not available, run npx -y lagune@latest pull to install it from its manifest.

General

  • Arrow functions over function. Declare with const. Use a function only when the this context strictly requires it.
  • Named exports only. Never use default export.
  • Practice early return. Handle edge cases up front and exit, rather than nesting the main logic.
  • No abbreviations. Names are clear and explicit (for example left/right, not a/b, and index, not i).
  • Avoid nested if-else-else-if. Favor clean, well-decoupled approaches when branching grows.
  • No duplicated logic or types. Reuse existing logic and types whenever it is viable.
  • No side effects inside loops or iterations. Keep iteration pure.
  • Prefer native capabilities over external dependencies whenever possible.
  • On Node.js, always prefix native imports with node: (for example node:path, node:fs).
  • Prefer the async native APIs when viable (for example node:fs/promises).

Layout

  • Shared declarations live at the top of the file or scope. Anything used by more than one block is declared before the first block that uses it, never between blocks. Order them by kind: types first, then values and fixtures, then functions.
  • Group statements by kind, and separate the groups with one blank line. Consecutive declarations stay together, consecutive calls stay together, and the switch from one kind to the other gets a blank line, even when a group holds a single statement. The same rule applies inside callbacks and between top-level declarations.

Read the full file on GitHub · 68 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. 17d ago Changed · +7 lines · -12 tokens per session db32f60a99c3
  2. 1mo ago First seen · 61 lines · 51 tokens per session scan A 8b2fc7ff8bf8

Subscribe to this mod's changes

engineering is a skill published in the GitHub repository wellwelwel/lagune (173 stars, last pushed 5d ago), licensed MIT. It adds 39 tokens to every session and 1,232 once invoked, about $0.0002 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 2026-08-30.

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