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Security Setup

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luongnv89
security-setup

Install local-first security hardening: pre-commit secret detection, offline dependency scans, static analysis, reports, and gated free CI. Use when hardening repos or adding security hooks. Don't use for incident response or cloud security reviews.

Overview

Publisherluongnv89
Repositoryskills
Skill namesecurity-setup
Stars
124
Forks
18
Bundled files
4
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 4 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by luongnv89 on GitHub. Read the source before you install it.

Installation

Install the Security Setup AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/luongnv89/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/security-setup .claude/skills/security-setup
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Security Setup in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Security Setup on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Security Setup is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Security Setup

Install a local-first security hardening stack for a project. Favor checks that run offline at hook time, produce machine-readable output, and give developers a clear summary before code leaves their machine.

Keep the orchestrator short for the agent's context budget: detailed matrices, templates, and long verification scenarios live in references/. Link, don't inline.

This skill may trigger automatically per its description, but it never writes silently: Phase 1 always dry-runs the planned changes and waits for explicit user confirmation before touching files, and Phase 2 (CI) only runs when the user explicitly asks for it (e.g. --ci).

Prerequisites

  • Git repo with a branch you can commit to.
  • Python 3.8+ and pip.
  • Permission to create .pre-commit-config.yaml, scripts/, security/, SECURITY.md.
  • (Optional for --ci) GitHub Actions enabled on the repo.
  • Network for initial tool/db installs (subsequent hook runs are offline).

Confirm these before Phase 1. If a tool cannot be made offline, document the gap instead of pretending.

Repo Sync Before Edits (mandatory)

Before creating/updating/deleting files in an existing repository, sync the current branch with remote:

bash
branch="$(git rev-parse --abbrev-ref HEAD)"
git fetch origin
git pull --rebase origin "$branch"

If the working tree is not clean, stash first as a backup, sync, then restore:

bash
git stash push -u -m "pre-sync"           # backup local changes
branch="$(git rev-parse --abbrev-ref HEAD)"
git fetch origin && git pull --rebase origin "$branch"
git stash pop                              # rollback by restoring the backup

If origin is missing, pull is unavailable, or rebase/stash conflicts occur, stop and ask the user before continuing. Never use --force rollback options without confirmation.

Operating Model

Work in two gated phases:

  1. Local security baseline - install a pre-commit hook that checks secrets, dependency vulnerabilities, and static analysis issues locally.
  2. CI/CD mirror - only when the user asks for --ci, create a free-tier GitHub Actions workflow that runs the same local runner on pull requests.

Do not create CI files until Phase 1 is installed and passing.

Phase 1 - Local Security Baseline

1. Detect the Project

Inspect the repo before choosing tools. The runner and skill instructions work on macOS, Linux, and Windows; pick the matching shell snippet.

macOS / Linux (bash, zsh):

bash
ls -la package.json package-lock.json pnpm-lock.yaml yarn.lock pyproject.toml requirements.txt Cargo.toml Cargo.lock go.mod pom.xml build.gradle 2>/dev/null
ls -la .pre-commit-config.yaml SECURITY.md .github/workflows/security.yml 2>/dev/null
command -v gitleaks trivy semgrep detect-secrets bandit cargo-audit pre-commit 2>/dev/null

Windows PowerShell:

powershell
Get-ChildItem -Force -ErrorAction SilentlyContinue package.json,package-lock.json,pnpm-lock.yaml,yarn.lock,pyproject.toml,requirements.txt,Cargo.toml,Cargo.lock,go.mod,pom.xml,build.gradle
Get-ChildItem -Force -ErrorAction SilentlyContinue .pre-commit-config.yaml,SECURITY.md,.github\workflows\security.yml
foreach ($t in 'gitleaks','trivy','semgrep','detect-secrets','bandit','cargo-audit','pre-commit') { Get-Command $t -ErrorAction SilentlyContinue }

Identify:

  • Languages and lockfiles
  • Existing pre-commit config and security docs
  • Available local tools
  • Whether the repo is public or private, if CI/SARIF upload is requested

Use references/tool-selection.md for the tool matrix and install commands.

2. Select the Minimal Tool Set

Choose the smallest useful set:

  • Secrets: prefer gitleaks; use detect-secrets when it already exists in a Python-heavy repo.
  • Dependencies: prefer trivy fs --skip-db-update for offline hook runtime; add cargo-audit only for Rust repos that already use Cargo.
  • Static analysis: prefer semgrep with local rules under security/. Add language-native scanners only when the language is present (bandit for Python, gosec for Go, cargo clippy/cargo audit for Rust).
Supply-chain install guardrail

When the repo uses package managers, recommend Socket Firewall as a lightweight local guardrail for day-to-day dependency installs. This does not replace lockfile scanning with trivy/cargo-audit; it shifts risk left by making risky installs harder before a new dependency reaches the repo.

For macOS/Linux users on zsh or bash, suggest adding these aliases to the developer shell profile:

bash
alias npm="sfw npm"
alias yarn="sfw yarn"
alias pnpm="sfw pnpm"
alias pip="sfw pip"
alias uv="sfw uv"
alias cargo="sfw cargo"

Only include aliases for package managers the project actually uses, and document the guardrail in SECURITY.md as optional local developer setup. If Socket Firewall is not installed, print the official install instructions or link to the official docs; do not add failing hooks that require sfw.

The hook must not call cloud services at runtime. If a scanner needs a local database, warm that database during setup and run with offline flags in the hook. If offline dependency scanning cannot be configured for an ecosystem, document the gap in SECURITY.md and do not pretend the criterion is satisfied.

File-aware scoping (per-check triggers)

Pre-commit must be fast on small commits without losing coverage. Each check declares its own relevance rule — never a global "skip on .md only" filter.

Trigger semantics in security/security-tools.json:

TriggerBehavior
"always": trueAlways run. Use for secret scanners — secrets land in .md, .json, .env.example, Dockerfile, anywhere.
"paths": [globs]Run only when at least one staged file matches a glob. Use for lockfile-driven (trivy, cargo-audit) or language-driven (semgrep, bandit) checks.
(omitted)Runner falls back to the per-tool defaults baked into scripts/security_check.py for the recognized tool name.

A repo-wide trip_all_paths list (default: .pre-commit-config.yaml, security/**, .github/workflows/**, Dockerfile*, .dockerignore, scripts/security_check.py) forces every applicable check to run when any of those files is staged. This catches workflow-injection edits, hook-tampering, and Dockerfile RCE that would otherwise slip past purely category-based scoping.

CI runs full scans (--all). Scoping only applies on developer commits; the CI mirror is the safety net.

Mandatory invariant: secret scanning runs on every commit. Do not move gitleaks (or its replacement) into a path-restricted trigger.

3. Generate Local Files

Before writing files, dry-run the changes: list every target path, diff any existing file against the planned content, and confirm with the user. If a target file already exists, back it up to <path>.bak so the user can rollback. Treat any overwrite of .pre-commit-config.yaml or SECURITY.md as destructive and require explicit confirmation.

Create or update these files:

  • .pre-commit-config.yaml - merge a local security-check hook into existing config; do not overwrite user hooks.
  • scripts/security_check.py - copy from scripts/security_check.py in this skill, then adjust tool config if needed.
  • security/semgrep-rules.yml - local Semgrep rules so runtime scans are offline.
  • security/security-tools.json - selected tools and command overrides.
  • SECURITY.md - summary of selected tools, why they were chosen, and how to run or bypass checks.

Use references/templates.md for starter snippets.

4. Bypass Policy

Never add a silent bypass. Bypass cannot be performed through git commit because pre-commit redirects hook stdin to /dev/null, so the runner's TTY check refuses --force from inside the hook. The approved bypass is a two-step, explicit override:

  1. Run the runner directly with --force and type YES at the prompt:

    bash
    # macOS / Linux
    SECURITY_CHECK_ARGS=--force python3 scripts/security_check.py
    powershell
    # Windows PowerShell
    $env:SECURITY_CHECK_ARGS = "--force"; python scripts\security_check.py; Remove-Item Env:SECURITY_CHECK_ARGS
    bat
    :: Windows cmd.exe
    set SECURITY_CHECK_ARGS=--force && python scripts\security_check.py && set SECURITY_CHECK_ARGS=

    The runner prints the prompt:

    text
    Type YES to override security checks and force-push:

    It accepts only the literal string YES. Any other input, EOF, or a non-TTY context exits non-zero and refuses the bypass.

  2. After the override is recorded in the report, commit with git commit --no-verify. Document the bypass in SECURITY.md (date, reason, link to the recorded report) so the override is auditable.

Do not add --force to the pre-commit hook entry, and do not wrap git commit in a script that opens /dev/tty for the hook — both routes hide the bypass from review.

5. Verify Locally

Run the local checks after writing files. Use python3 on macOS/Linux and python on Windows (the Python launcher routes to the active interpreter). Verification uses --all so every configured check runs regardless of what happens to be staged.

bash
# macOS / Linux
python3 scripts/security_check.py --all --no-fail-on-missing-tools
pre-commit run security-check --all-files
powershell
# Windows PowerShell
python scripts\security_check.py --all --no-fail-on-missing-tools
pre-commit run security-check --all-files

When run from a pre-commit hook with no flags, the runner inspects git diff --cached and scopes checks to the staged file set per the trigger table in §2. --all overrides this for verification or one-off full scans; --staged-only errors if no staged files are found (useful for guarded hooks).

If pre-commit is not installed, print the install command and stop:

bash
python3 -m pip install pre-commit   # use `python` on Windows
pre-commit install
Expected output

A successful first run prints a summary to stdout and exits 0. See "Report Requirements" below for the exact shape and content of that summary.

Assert: a clean run exits 0, both report paths exist, and security-report.json parses as valid JSON with a top-level summary object. Any HIGH or CRITICAL finding exits non-zero unless the bypass in §"4. Bypass Policy" was completed.

Phase 2 - CI/CD Mirror (--ci)

Only run this phase when the user asks for CI/CD, for example /security-setup --ci.

Preconditions:

  • Phase 1 files exist
  • python3 scripts/security_check.py --no-fail-on-missing-tools runs locally
  • .pre-commit-config.yaml contains the security-check hook

Then create .github/workflows/security.yml using references/templates.md. Keep the workflow free-tier friendly:

  • Trigger on pull_request and push to the default branch.
  • Install only the selected tools.
  • Cache scanner databases where supported.
  • Run python3 scripts/security_check.py.
  • Upload SARIF only when the repo can use GitHub Code Scanning; otherwise keep the job summary only.

Report Requirements

The local runner must print a concise report with:

  • Total checks run
  • Findings by category: secrets, dependencies, static analysis, tool errors
  • Severity breakdown: critical, high, medium, low, info
  • Actionable fix hints
  • Paths to JSON and Markdown report artifacts

The default exit behavior is strict: any HIGH or CRITICAL finding exits non-zero.

A successful full run looks like this (exact counts vary):

text
Security Check Summary
======================
Mode: full
Checks run: 3 of 3 (skipped: 0)
Findings: 1
Severity: HIGH=1
Categories: dependencies=1
JSON report: security/security-report.json
Markdown report: security/security-report.md

Top findings:
- HIGH [dependencies/trivy] CVE-XXXX-XXXX in <pkg> (<lockfile>)
  Hint: Upgrade to <version>.

A scoped run on a docs-only commit looks like:

text
Mode: staged
Staged files: 2
Checks run: 1 of 3 (skipped: 2)
Skipped: trivy, semgrep

Skipped checks are recorded in both reports with their scope reason — they are not silent.

Acceptance Criteria

A completed setup passes when:

  • .pre-commit-config.yaml contains a local security-check hook.
  • scripts/security_check.py exists and prints the required summary.
  • Secret detection, dependency scanning, and static analysis are configured for the detected project where offline local tooling is available.
  • Hook runtime uses offline flags and does not require cloud credentials.
  • --force requires the exact YES confirmation before bypassing failures.
  • SECURITY.md documents selected tools, omissions, run commands, and CI status.
  • --ci creates .github/workflows/security.yml only after Phase 1 passes.
  • File-aware scoping has been walked through manually against the no-blindspot scenarios in references/verification-scenarios.md.

Edge Cases

  • Existing hooks: merge the new hook; preserve all existing hooks and revs.
  • Monorepo: use path filters in security/security-tools.json and document per-package coverage.
  • Missing tools: install the minimal missing set or tell the user the exact command; do not silently skip required categories.
  • Private repo SARIF: GitHub Code Scanning may require a paid plan. Keep the summary report and skip SARIF upload unless available.
  • Network-restricted setup: create configs and report the commands that must be run later to warm vulnerability databases.

Step Completion Report

After each phase, report:

text
◆ Security Setup ([phase] - [context])
................................................................
  Project detection:      pass | fail - detail
  Tool selection:         pass | fail - detail
  Local hook:             pass | fail - detail
  Security report:        pass | fail - detail
  CI mirror:              pass | skipped | fail - detail
  Criteria:               N/M met
  ____________________________
  Result:                 PASS | PARTIAL | FAIL

Resources

  • references/tool-selection.md - offline-first tool matrix and install notes
  • references/templates.md - target repo file templates
  • references/verification-scenarios.md - no-blindspot manual verification scenarios
  • scripts/security_check.py - reusable local security summary runner

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Security Setup AI skill do?

Install local-first security hardening: pre-commit secret detection, offline dependency scans, static analysis, reports, and gated free CI. Use when hardening repos or adding security hooks. Don't use for incident response or cloud security reviews.

Why use Security Setup on TypingMind?

Because you install it once and use it with any model. Security Setup is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Security Setup in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/luongnv89/skills/tree/main/skills/security-setup. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Security Setup?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Security Setup?

As many as you like. As long as a model supports skills, you can use Security Setup with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Security Setup AI skill free?

Yes. It is published on GitHub by luongnv89 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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