RRepoGEO

REPOGEO REPORT · LITE

ast-grep/agent-skill

Default branch main · commit 577f4d45 · scanned 6/1/2026, 7:47:38 AM

GitHub: 713 stars · 28 forks

AI VISIBILITY SCORE
30 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 fail
Objective metadata checks
AI knows your name
3 / 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 ast-grep/agent-skill, 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
  • highlicense#1
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root with your chosen open-source license (e.g., MIT, Apache-2.0, GPL-3.0).
  • highabout#2
    Add a concise description to the repository's About section

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    Enables AI agents (like Claude) to perform structural code search and refactoring using `ast-grep` AST patterns, acting as a plugin marketplace for AI-powered code analysis.
  • hightopics#3
    Add specific topics to improve AI categorization

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    ["ai-agent", "claude-plugin", "ast-grep", "code-analysis", "code-refactoring", "abstract-syntax-tree", "llm-tools", "developer-tools"]

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 ast-grep/agent-skill
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Sourcegraph
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Sourcegraph · recommended 1×
  2. returntocorp/semgrep · recommended 1×
  3. github/codeql · recommended 1×
  4. GitHub Code Scanning · recommended 1×
  5. oracle/opengrok · recommended 1×
  • CATEGORY QUERY
    How can I perform advanced code searches based on code structure, not just text?
    you: not recommended
    AI recommended (in order):
    1. Sourcegraph
    2. Semgrep (returntocorp/semgrep)
    3. CodeQL (github/codeql)
    4. GitHub Code Scanning
    5. OpenGrok (oracle/opengrok)
    6. Tree-sitter (tree-sitter/tree-sitter)
    7. IntelliJ IDEA's Structural Search and Replace

    AI recommended 7 alternatives but never named ast-grep/agent-skill. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help AI agents understand and refactor code using abstract syntax trees?
    you: not recommended
    AI recommended (in order):
    1. Tree-sitter
    2. pyright
    3. rust-analyzer
    4. typescript-language-server
    5. Roslyn
    6. Clang LibTooling
    7. LibASTMatchers
    8. ANTLR
    9. Esprima
    10. Babel
    11. Pylint
    12. MyPy

    AI recommended 12 alternatives but never named ast-grep/agent-skill. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    fail

    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 ast-grep/agent-skill?
    pass
    AI named ast-grep/agent-skill explicitly

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

  • If a team adopts ast-grep/agent-skill in production, what risks or prerequisites should they evaluate first?
    pass
    AI named ast-grep/agent-skill 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 ast-grep/agent-skill solve, and who is the primary audience?
    pass
    AI named ast-grep/agent-skill explicitly

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

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  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
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