RRepoGEO

REPOGEO REPORT · LITE

prompt-security/clawsec

Default branch main · commit 66a38655 · scanned 6/28/2026, 9:16:26 AM

GitHub: 1,050 stars · 109 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

3 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 warn · 0 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 prompt-security/clawsec, 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
  • highreadme#1
    Reposition the core definition of ClawSec to the top of the README

    Why:

    CURRENT
    The core definition 'ClawSec is a complete security skill suite for AI agent platforms...' appears under the 'What is ClawSec?' heading, further down the README.
    COPY-PASTE FIX
    Add the following sentence immediately after the H2 (Secure Your OpenClaw, NanoClaw, and Hermes Agents with a Complete Security Skill Suite) and before the 'Brought to you by Prompt Security' line:
    
    This suite provides unified security monitoring, integrity verification, and threat intelligence specifically for AI agent platforms, protecting against prompt injection, drift, and malicious instructions.
  • hightopics#2
    Expand repository topics with broader AI security and agent-related terms

    Why:

    CURRENT
    clawdbot, clawdbot-skill, hermes, hermes-agent, hermes-skill, hermes-skills, molt, moltbot-skill, moltbot-skills, nanoclaw, openclaw, openclaw-extension, openclaw-plugin, openclaw-security, openclaw-skill, openclaw-skills, picoclaw, picoclaw-install
    COPY-PASTE FIX
    clawdbot, clawdbot-skill, hermes, hermes-agent, hermes-skill, hermes-skills, molt, moltbot-skill, moltbot-skills, nanoclaw, openclaw, openclaw-extension, openclaw-plugin, openclaw-security, openclaw-skill, openclaw-skills, picoclaw, picoclaw-install, ai-security, llm-security, agent-security, prompt-injection, ai-agents, threat-intelligence, security-audits, ai-integrity
  • mediumreadme#3
    Highlight 'declarative, policy-as-code' as a core differentiator in the README

    Why:

    COPY-PASTE FIX
    Add a sentence or short paragraph to the 'What is ClawSec?' section (or a new 'Why ClawSec?' section) that explicitly highlights its 'declarative, policy-as-code approach' for defining and enforcing granular security policies for LLM interactions.

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 prompt-security/clawsec
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Git
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Git · recommended 1×
  2. GitHub · recommended 1×
  3. GitLab · recommended 1×
  4. Bitbucket · recommended 1×
  5. databricks/mlflow · recommended 1×
  • CATEGORY QUERY
    How can I secure my AI agents from integrity issues and unauthorized changes?
    you: not recommended
    AI recommended (in order):
    1. Git
    2. GitHub
    3. GitLab
    4. Bitbucket
    5. MLflow (databricks/mlflow)
    6. DVC (iterative/dvc)
    7. Amazon S3
    8. Google Cloud Storage
    9. Azure Blob Storage
    10. HashiCorp Vault (hashicorp/vault)
    11. Open Policy Agent (open-policy-agent/opa)
    12. Tuf (theupdateframework/tuf)
    13. in-toto (in-toto/in-toto)

    AI recommended 13 alternatives but never named prompt-security/clawsec. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools provide automated security audits and threat intelligence for AI agent platforms?
    you: not recommended
    AI recommended (in order):
    1. Giskard (Giskard-AI/giskard)
    2. Robust Intelligence
    3. Adversa AI
    4. IBM Watson OpenScale
    5. Microsoft Azure AI Security
    6. Snyk
    7. Sarus (Sarus-tech/sarus-core)

    AI recommended 7 alternatives but never named prompt-security/clawsec. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    pass

  • 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 prompt-security/clawsec?
    pass
    AI named prompt-security/clawsec explicitly

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

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

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

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prompt-security/clawsec — 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