RRepoGEO

REPOGEO REPORT · LITE

anthropics/claude-code-security-review

Default branch main · commit 0c6a49f1 · scanned 5/13/2026, 2:13:00 PM

GitHub: 4,581 stars · 435 forks

AI VISIBILITY SCORE
28 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
2 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface anthropics/claude-code-security-review, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • hightopics#1
    Add relevant topics to improve categorization

    Why:

    COPY-PASTE FIX
    github-action, security, sast, code-security, ai, claude, vulnerability-scanning, pull-request-review
  • mediumreadme#2
    Refine README's opening sentence to explicitly mention 'SAST'

    Why:

    CURRENT
    An AI-powered security review GitHub Action using Claude to analyze code changes for security vulnerabilities.
    COPY-PASTE FIX
    A Static Application Security Testing (SAST) GitHub Action powered by Anthropic's Claude, designed for automated security reviews of code changes in pull requests.
  • lowhomepage#3
    Add a homepage URL

    Why:

    COPY-PASTE FIX
    https://github.com/anthropics/claude-code-security-review

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface anthropics/claude-code-security-review
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
GitHub Advanced Security (CodeQL)
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. GitHub Advanced Security (CodeQL) · recommended 2×
  2. Checkmarx SAST · recommended 2×
  3. Snyk · recommended 1×
  4. SonarQube/SonarCloud · recommended 1×
  5. GitLab Ultimate SAST · recommended 1×
  • CATEGORY QUERY
    How can I automate security vulnerability scanning for new code in pull requests?
    you: not recommended
    AI recommended (in order):
    1. Snyk
    2. GitHub Advanced Security (CodeQL)
    3. SonarQube/SonarCloud
    4. Checkmarx SAST
    5. GitLab Ultimate SAST

    AI recommended 5 alternatives but never named anthropics/claude-code-security-review. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are good AI-driven tools for finding security flaws in GitHub pull request diffs?
    you: not recommended
    AI recommended (in order):
    1. GitHub Advanced Security (CodeQL)
    2. Snyk Code
    3. Semgrep (returntocorp/semgrep)
    4. SonarQube
    5. DeepCode AI
    6. Checkmarx SAST
    7. LGTM.com

    AI recommended 7 alternatives but never named anthropics/claude-code-security-review. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    Suggestion:

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of anthropics/claude-code-security-review?
    pass
    AI named anthropics/claude-code-security-review explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts anthropics/claude-code-security-review in production, what risks or prerequisites should they evaluate first?
    pass
    AI named anthropics/claude-code-security-review explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo anthropics/claude-code-security-review solve, and who is the primary audience?
    pass
    AI did not name anthropics/claude-code-security-review — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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anthropics/claude-code-security-review — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite