security-scanner

security-scanner is a skill for Claude Code, Codex from RaNDoM6913/claude-code-superkit. It costs 21 tokens per session (2,137 once invoked), scanned C, original, MIT.

Scan codebase for security vulnerabilities — OWASP top-10 + 18 generic checks.

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/random6913/claude-code-superkit/security-scanner
Any agent
npx skills add RaNDoM6913/claude-code-superkit --skill security-scanner
Clone the repo
git clone --depth 1 https://github.com/RaNDoM6913/claude-code-superkit

Made for: Claude Code, Codex.

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-scanner

README.md
[![agentmods](https://agentmods.dev/badge/skills/random6913/claude-code-superkit/security-scanner.svg)](https://agentmods.dev/skills/random6913/claude-code-superkit/security-scanner)
Your own site
<a href="https://agentmods.dev/skills/random6913/claude-code-superkit/security-scanner"><img src="https://agentmods.dev/badge/skills/random6913/claude-code-superkit/security-scanner.svg" alt="Measured on agentmods" height="20"></a>
Per session 21 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,137 The whole file, excluding the scripts and references it only reads on demand.
Security scan C 2 findings. Scan, not verified.
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 $0.00021 $0.02137
Opus 5 $0.00010 $0.01069
Sonnet 5 $0.00004 $0.00427
Haiku 4.5 $0.00002 $0.00214

Measured today against content hash 132d955cc79a, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade C, and why

security-scanner scanned grade C with 2 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 today.

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.

Hidden instructionshighPrompt injection

Directives inside HTML comments, invisible characters or bidirectional overrides are read by the model and not by the person reviewing the file.

<!-- Social apps: photo privacy, location privacy, block system, age verification -->

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

- Grep: `http.Get|fetch|requests.get|urllib` with variable URLs
packages/codex/skills/security-scanner/SKILL.md · 198 lines

How it starts

The opening of the file, as written. The whole thing — 198 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Security Scanner

Scan the codebase for common security vulnerabilities based on OWASP guidelines and general best practices.

Review Discipline (two-stage)

Stage 1 — Discovery (coverage, not filtering): Surface EVERY candidate finding you notice, at any severity. Do not pre-filter for importance here. Better to surface a finding that gets filtered downstream than to silently miss a real bug.

Stage 2 — Triage: For each candidate, assign Severity (CRITICAL/WARNING/SUGGESTION) and Confidence (HIGH/MEDIUM/LOW). Report HIGH/MEDIUM-confidence findings normally. Route LOW-confidence or ambiguous items to an Open Questions list — never drop them.

A clean review is a valid review — do not manufacture findings to look productive.

Evidence Gate (before emitting any finding)

Before reporting a finding, confirm ALL of:

  1. Exact citationfile:line (or file:start-end) you actually read.
  2. Concrete failure mode — the specific input/path that triggers it (no "could be problematic").
  3. Context checked — you read the surrounding code / caller, not just the line.
  4. Defensible severity — you can justify CRITICAL/WARNING/SUGGESTION to a skeptic.

Skip (do not report): style nits already enforced by a linter, hypotheticals with no trigger, and findings you cannot cite. A clean review is valid.

Review Process

Phase 1: Checklist (quick scan)

Run through Checks 1-18 below. Report violations immediately without extended analysis.

Phase 2: Deep Analysis

After the checklist, analyze:

  1. What is the overall security posture?
  2. What are the highest-risk attack surfaces?
  3. Are there systemic patterns (e.g., consistently missing input validation)?
  4. What compensating controls exist?

Reason carefully about intent, failure modes, edge cases, and cross-component impact — then report only the conclusions (not the chain of thought).

Checks

1. SQL Injection (Critical)

Grep for string interpolation in SQL queries:

  • Go: fmt.Sprintf.*SELECT|fmt.Sprintf.*INSERT|fmt.Sprintf.*UPDATE|fmt.Sprintf.*DELETE
  • JS/TS: template literals with SELECT|INSERT|UPDATE|DELETE containing ${
  • Python: f"SELECT|f"INSERT|"SELECT.*".format|%s.*SELECT (outside ORM) Parameterized queries ($1, ?, :name) are safe. String interpolation in SQL is a vulnerability.

Read the full file on GitHub · 198 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. today First seen · 198 lines · 21 tokens per session scan C 132d955cc79a

Subscribe to this mod's changes

security-scanner is a skill published in the GitHub repository RaNDoM6913/claude-code-superkit (2 stars, last pushed 1mo ago), licensed MIT. It adds 21 tokens to every session and 2,137 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it C with 2 findings (hidden instructions, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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