gitlab-mcp: Skill for Claude Code

.github/skills/security-scan/SKILL.md

security-scan is a skill for Claude Code from zereight/gitlab-mcp. It costs 43 tokens per session (914 once invoked), scanned A, original, MIT.

A focused security check for recent code changes, including scans for exposed secrets and known problems in software dependencies.

In plain words
What is it for?
Use it before committing changes involving authentication, user input, stored data, or external APIs, after adding dependencies, or as a quick security gate before review.
Why use it?
It helps catch credentials accidentally committed to the code and vulnerable third-party packages before they reach a pull request or production.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter.

This is zereight/gitlab-mcp's own configuration. It tells Claude Code how to work on gitlab-mcp itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything gitlab-mcp configures →

About the project

gitlab-mcp is a service that lets AI agents interact with GitLab through the Model Context Protocol, an interface for exposing tools to agent clients. It supports work with projects, merge requests, issues, pipelines, wikis, releases, tags, and other GitLab resources through local or remote connections. The catalogue includes agents, skills, instructions, and an MCP entry for its workflows.

zereight/gitlab-mcp · 2,047 stars · on GitHub · zereight.github.io

Reuse

Borrowing it

Nothing to install: this file belongs to zereight/gitlab-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/zereight/gitlab-mcp/main/.github/skills/security-scan/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/zereight/gitlab-mcp

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 security-scan

README.md
[![agentmods](https://agentmods.dev/badge/skills/zereight/gitlab-mcp/security-scan/github.svg)](https://agentmods.dev/skills/zereight/gitlab-mcp/security-scan)
Your own site
<a href="https://agentmods.dev/skills/zereight/gitlab-mcp/security-scan"><img src="https://agentmods.dev/badge/skills/zereight/gitlab-mcp/security-scan/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 security-scan

Your own site · 80×15
<a href="https://agentmods.dev/skills/zereight/gitlab-mcp/security-scan"><img src="https://agentmods.dev/badge/skills/zereight/gitlab-mcp/security-scan.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 43 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 914 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 high

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 →

  • high Privilege Escalation · line 41
    Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.
    Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
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 $0.00043 $0.00914
Opus 5.5 $0.00017 $0.00366
Sonnet 5.5 $0.00009 $0.00183
Haiku 4.5 $0.00004 $0.00091

Measured 1mo ago against content hash 46afd2a17329, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

security-scan 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.

Origin

Copies of this mod

2 near-identical copies found in the catalogue:

.github/skills/security-scan/SKILL.md · 132 lines

How it starts

The opening of the file, as written. The whole thing — 132 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Security Scan

Rapid security sweep for code changes. Faster than a full /review — focused on security only.

When to Use

  • Before committing code that touches auth, user input, data storage, or external APIs
  • After adding new dependencies
  • Quick pre-PR security gate

Scan Protocol

Step 1: Determine Scope

# Default: scan recent changes
git diff --name-only HEAD~1

# Or use provided path

Step 2: Secrets Scan

# Scan for common secret patterns
grep -rn --include="*.{ts,js,py,go,rs,java,cs,yaml,json,env,sh,toml}" \
  -e "sk-[A-Za-z0-9]\{32,\}" \
  -e "ghp_[A-Za-z0-9]\{36\}" \
  -e "AKIA[0-9A-Z]\{16\}" \
  -e "api.key\s*=\s*['\"][^'\"]\{8,\}" \
  -e "password\s*=\s*['\"][^'\"]\{4,\}" \
  -e "secret\s*=\s*['\"][^'\"]\{8,\}" \
  .

# Check .env is in .gitignore
cat .gitignore | grep -E "\.env$|\.env\."

CRITICAL: Any match in committed code = immediate blocker.

Step 3: Dependency Audit

Run language-appropriate audit:

# Node.js
npm audit --audit-level=high

# Python
pip-audit  # or: safety check

# Rust
cargo audit

# Go
govulncheck ./...

# Java/Maven
mvn dependency-check:check

Report: Count of critical/high severity CVEs and their package names.

Step 4: Input Validation Spot-Check

For changed files that handle user input (API endpoints, form handlers, CLI args):

  • Is input validated/sanitized before use?
  • Are SQL queries parameterized (no string concatenation)?
  • Is HTML output escaped before rendering?
  • Are file paths sanitized (no ../ traversal)?

Step 5: Auth/Authz Quick Check

For changed files touching auth:

  • Is authentication checked BEFORE authorization?
  • Are authorization checks on EVERY relevant endpoint?
  • Are JWT tokens validated (algorithm + signature + expiry)?
  • Are session cookies HttpOnly; Secure; SameSite=Strict?

Output Format

## Security Scan Report

**Scope:** [files scanned]
**Date:** [timestamp]

### Secrets
- [ ] No hardcoded secrets found
- ⚠ Found: [file:line — description]

### Dependencies
- Critical CVEs: X
- High CVEs: Y
- Packages: [list if any]

### Input Validation
- [ ] User inputs sanitized in changed files
- ⚠ Risk: [file:line — description]

### Auth
- [ ] Auth/authz checks present on relevant routes
- ⚠ Risk: [file:line — description]

### Verdict
CLEAN / NEEDS ATTENTION / BLOCKER

### Next Steps
- [Action items with file:line references]

Read the full file on GitHub · 132 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 · 132 lines · 43 tokens per session scan A 46afd2a17329

Subscribe to this mod's changes

security-scan is a skill published in the GitHub repository zereight/gitlab-mcp (2,047 stars, last pushed today), licensed MIT. It adds 43 tokens to every session and 914 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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