megalinter-setup

megalinter-setup is a skill for Claude Code from oxsecurity/megalinter. It costs 131 tokens per session (3,618 once invoked), scanned A, original, AGPL-3.0.

A setup guide for adding or updating MegaLinter, a tool that checks source code for style and common mistakes, in a repository. It also covers configuring its checks in continuous integration, where checks run automatically when code changes.

In plain words
What is it for?
Adding MegaLinter to a project, setting up linting checks in CI, or updating its version and configuration.
Why use it?
It removes the need to work out the installation commands and configuration yourself. It gives the project a repeatable way to run code-quality checks.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Part of the megalinter plugin — 25 skills, 14 agents shipped together

Good fit Adding MegaLinter to a project, setting up linting checks in CI, or updating its version and configuration.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/oxsecurity/megalinter/megalinter-setup
About the project

MegaLinter is a repository analysis tool that runs linters and related checks across source code, infrastructure-as-code, configuration, scripts, formats, spelling, copy-pastes, and security issues. It is for teams that want automated quality checks in GitHub Actions, other CI systems, or local development. The catalogue add-ons help coding agents use and configure MegaLinter and respond to its findings.

oxsecurity/megalinter · 2,623 stars · on GitHub · megalinter.io

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 oxsecurity/megalinter --skill megalinter-setup
Clone the repo
git clone --depth 1 https://github.com/oxsecurity/megalinter

Made for: Claude Code.

Or install megalinter, the plugin that ships this one along with the rest of its 25 skills, 14 agents.

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 megalinter-setup

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/oxsecurity/megalinter/megalinter-setup"><img src="https://agentmods.dev/badge/skills/oxsecurity/megalinter/megalinter-setup.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 131 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,618 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: 14 findings, 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 3
    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]
  • medium MCP Rug Pull · line 12
    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]
  • medium MCP Rug Pull · line 29
    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]
  • medium MCP Rug Pull · line 36
    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]
  • medium MCP Rug Pull · line 42
    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]
  • medium MCP Rug Pull · line 44
    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]
  • medium MCP Rug Pull · line 55
    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]
  • medium MCP Rug Pull · line 168
    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]
  • medium Prompt Injection · line 79
    Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.
    Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
  • medium Prompt Injection · line 83
    Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.
    Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
  • medium MCP Rug Pull · line 99
    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]
  • medium MCP Rug Pull · line 105
    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]
  • medium MCP Rug Pull · line 109
    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]
  • medium MCP Rug Pull · line 118
    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 unknown 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 $0.00131 $0.03618
Opus 5.5 $0.00052 $0.01447
Sonnet 5.5 $0.00026 $0.00724
Haiku 4.5 $0.00013 $0.00362

Measured 1mo ago against content hash 80374306efb2, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

megalinter-setup 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/megalinter-setup/SKILL.md · 178 lines

The source is not reproduced here

Licensed AGPL-3.0

The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

Read it on GitHub

Files

What ships with it

5 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. 1mo ago First seen · 178 lines · 131 tokens per session scan A 80374306efb2

Subscribe to this mod's changes

megalinter-setup is a skill published in the GitHub repository oxsecurity/megalinter (2,623 stars, last pushed yesterday), licensed AGPL-3.0. It adds 131 tokens to every session and 3,618 once invoked, about $0.0005 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.