RRepoGEO

REPOGEO REPORT · LITE

tldrsec/prompt-injection-defenses

Default branch main · commit 423a2f36 · scanned 6/2/2026, 7:27:48 PM

GitHub: 697 stars · 55 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 tldrsec/prompt-injection-defenses, 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:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Add a LICENSE file (e.g., MIT, Apache-2.0, or GPL-3.0) to the repository root.
  • highreadme#2
    Reposition the README's opening to clarify the repo's type

    Why:

    CURRENT
    # prompt-injection-defenses

This repository centralizes and summarizes practical and proposed defenses against prompt injection.
    COPY-PASTE FIX
    # prompt-injection-defenses: A Comprehensive Compendium of Defense Strategies

This repository serves as a centralized, categorized, and practical overview of every known and proposed defense against prompt injection attacks, designed for AI developers and security professionals. It is a resource for understanding and evaluating techniques, not a deployable tool or library.
  • mediumtopics#3
    Expand repository topics for better categorization

    Why:

    CURRENT
    ai, cybersecurity, prompt-injection, security
    COPY-PASTE FIX
    ai, cybersecurity, prompt-injection, security, llm-security, defense-strategies, research, knowledge-base, threat-modeling

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 tldrsec/prompt-injection-defenses
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI Moderation API
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI Moderation API · recommended 2×
  2. Azure AI Content Safety · recommended 1×
  3. Google Cloud's Perspective API · recommended 1×
  4. Garak · recommended 1×
  5. Rebuff · recommended 1×
  • CATEGORY QUERY
    How can I protect my AI application from malicious prompt injection attacks?
    you: not recommended
    AI recommended (in order):
    1. OpenAI Moderation API
    2. Azure AI Content Safety
    3. Google Cloud's Perspective API
    4. Garak
    5. Rebuff
    6. LLM Guard

    AI recommended 6 alternatives but never named tldrsec/prompt-injection-defenses. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are effective strategies and tools to mitigate large language model prompt injection?
    you: not recommended
    AI recommended (in order):
    1. OpenAI Moderation API
    2. Azure Content Moderator
    3. Google Cloud Content Moderation
    4. LangChain
    5. LlamaIndex
    6. OWASP Top 10 for LLMs (Draft)
    7. Docker
    8. Kubernetes
    9. `re` module
    10. PromptPerfect
    11. Guardrails AI

    AI recommended 11 alternatives but never named tldrsec/prompt-injection-defenses. 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 tldrsec/prompt-injection-defenses?
    pass
    AI named tldrsec/prompt-injection-defenses explicitly

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

  • If a team adopts tldrsec/prompt-injection-defenses in production, what risks or prerequisites should they evaluate first?
    pass
    AI named tldrsec/prompt-injection-defenses 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 tldrsec/prompt-injection-defenses solve, and who is the primary audience?
    pass
    AI did not name tldrsec/prompt-injection-defenses — 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?

Embed your GEO score

Drop this badge into the README of tldrsec/prompt-injection-defenses. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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tldrsec/prompt-injection-defenses — 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