security-scan

A repository security checker that uses Trivy and Gitleaks to find vulnerable dependencies, unsafe configuration, leaked secrets, license issues, and problems in container images or Git history.

In plain words
What is it for?
Use it to scan source code, Docker and infrastructure files, dependencies, container images, staged changes, and Git history, then review the reported findings.
Why use it?
It brings several security checks into one review and can find secrets that were committed and later deleted.

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/fmind/dotfiles/security-scan
Any agent
npx skills add fmind/dotfiles --skill security-scan
Clone the repo
git clone --depth 1 https://github.com/fmind/dotfiles

Made for: Claude Code, Codex.

Per session 34 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,867 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 $0.00034 $0.01867
Opus 5 $0.00017 $0.00933
Sonnet 5 $0.00007 $0.00373
Haiku 4.5 $0.00003 $0.00187

Measured yesterday against content hash 3cbe142d62f9, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, 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 yesterday.

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/security-scan/SKILL.md · 88 lines

How it starts

The opening of the file, as written. The whole thing — 88 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Security Scanning

Scan a repository (and its images) for vulnerabilities, misconfigurations, secrets, and license issues. Layers Trivy (config: dot_config/trivy/trivy.yamlHIGH/CRITICAL, ignore-unfixed, scanners: vuln/misconfig/secret/license) over gitleaks for deep git-history secret detection, complementing the language-native scanners (govulncheck, pip-audit).

Workflow

  1. Repository scan (dependencies, misconfig, secrets, licenses in one pass):
    trivy --config trivy.yaml fs .   # always pass --config: an exported TRIVY_CONFIG outranks ./trivy.yaml — see Gotchas
    
  2. Targeted config scan (Dockerfiles, Kubernetes manifests, Terraform — optional if already done via trivy fs):
    trivy --config trivy.yaml config .
    
  3. Secrets in git history (deeper than a working-tree scan — catches committed-then-deleted secrets):
    mise run check:leaks          # recent commits (this repo caps at the last 10)
    mise run check:leaks --staged # pre-commit scope
    gitleaks git --verbose        # full history — the actual audit
    
  4. Container image scan (after a build — see containerize):
    trivy --config trivy.yaml image <registry>/<image>:<tag>
    
  5. Language-native depth (already wired into mise run check as check:vuln):
    • Go: go tool govulncheck ./...
    • Python: uv run pip-audit
  6. Triage: summarize findings by severity, separate fixable from unfixed, and propose the minimal upgrade/patch or a justified ignore.

Mise Task Integration

Expose security scans in the project's canonical task vocabulary (mise.toml) per the mise skill. check:leaks (gitleaks) and check:scan (trivy fs, one pass over vuln/misconfig/secret/license) follow the same pattern in every repo; check:vuln is the language-native scanner where one exists (govulncheck/pip-audit — see go-stack/python-stack) and is omitted entirely in polyglot or config-only repos with no native scanner — check:scan's trivy fs already covers vulnerabilities there:

Read the full file on GitHub · 88 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. yesterday First seen · 88 lines · 34 tokens per session scan A 3cbe142d62f9

Subscribe to this mod's changes

security-scan is a skill published in the GitHub repository fmind/dotfiles (4 stars, last pushed 2d ago), licensed MIT. It adds 34 tokens to every session and 1,867 once invoked, about $0.0002 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 2026-08-31.

Related

Other skills, from other repositories

dotfiles-bootstrap

Bootstrap a workstation with the dotfiles framework. Takes a GitHub user / owner+repo / explicit clone URL and runs dot init (which shells out to chezmoi) with the right safety prompts. Honors the active agent profile (ask / plan / apply / audit) so it defaults to dry-run in safer modes and full apply in apply.

sebastienrousseau/dotfiles · 88 tokens

vibe

Delegate a coding task to a cheap AI model (Mistral Vibe by default, but any provider Vibe knows about — DeepSeek, Gemini Flash, etc.) and supervise the result via git diff. Claude orchestrates, the cheap model codes. Claude consumes 500-1500 tokens per delegation regardless of how many file reads the delegate does…

sebastienrousseau/dotfiles · 137 tokens

aiq-research

Use when asked to run deep research or AI-Q research through a reachable NVIDIA AI-Q Blueprint backend.

laurigates/dotfiles · 25 tokens

obsidian-bases

Obsidian Bases database feature for YAML-based interactive note views. Use when creating .base files, writing filter queries, building formulas, configuring table/card views, or working with Obsidian properties and frontmatter databases.

laurigates/dotfiles · 49 tokens

telegram

Send notifications, interactive questions, or multiple-choice polls to the user via Telegram. Use when the user asks to be notified ("ping me", "notify me on Telegram", "ask me when..."), when a long-running task finishes and the user is likely away, when an irreversible action needs out-of-band confirmation, or when…

laurigates/dotfiles · 117 tokens

chezmoi-expert

Comprehensive chezmoi dotfiles management expertise including templates, cross-platform configuration, file naming conventions, and troubleshooting. Covers source directory management, reproducible environment setup, and chezmoi templating with Go templates. Use when user mentions chezmoi, dotfiles, cross-platform…

laurigates/dotfiles · 88 tokens