RRepoGEO

REPOGEO REPORT · LITE

NVIDIA/OpenShell

Default branch main · commit e98ea3ee · scanned 5/30/2026, 8:51:44 PM

GitHub: 6,335 stars · 773 forks

AI VISIBILITY SCORE
35 /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
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 NVIDIA/OpenShell, 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
    Strengthen README's opening to clarify core purpose and counter misinterpretations

    Why:

    CURRENT
    OpenShell is the safe, private runtime for autonomous AI agents. It provides sandboxed execution environments that protect your data, credentials, and infrastructure — governed by declarative YAML policies that prevent unauthorized file access, data exfiltration, and uncontrolled network activity.
    COPY-PASTE FIX
    OpenShell is the safe, private runtime for autonomous AI agents. It provides sandboxed execution environments that protect your data, credentials, and infrastructure — governed by declarative YAML policies that prevent unauthorized file access, data exfiltration, and uncontrolled network activity. Unlike general-purpose shell utilities or GPU management tools, OpenShell is a confidential computing platform specifically designed for AI agent security.
  • hightopics#2
    Add relevant topics to improve categorization

    Why:

    COPY-PASTE FIX
    ai-agents, confidential-computing, sandbox, security, policy-engine, runtime, autonomous-agents, data-protection, infrastructure-security
  • mediumreadme#3
    Add a "Key Features" or "Why OpenShell?" section to highlight differentiators

    Why:

    COPY-PASTE FIX
    ## Key Features

*   **Agent-First Security:** Sandboxed execution environments tailored for autonomous AI agents.
*   **Declarative Policy Control:** Granular YAML policies to govern file access, data exfiltration, and network activity.
*   **Data & Credential Protection:** Safeguards sensitive information from unauthorized access within agent runtimes.
*   **Infrastructure Isolation:** Prevents uncontrolled agent activity from impacting host systems.
*   **Built-in Agent Skills:** Ships with pre-built skills for common tasks like gateway troubleshooting and policy generation.

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 NVIDIA/OpenShell
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Intel SGX
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Intel SGX · recommended 1×
  2. AMD SEV · recommended 1×
  3. Azure Confidential Computing · recommended 1×
  4. Google Confidential Computing · recommended 1×
  5. Kubernetes · recommended 1×
  • CATEGORY QUERY
    How to securely run AI agents without compromising sensitive data or infrastructure?
    you: not recommended
    AI recommended (in order):
    1. Intel SGX
    2. AMD SEV
    3. Azure Confidential Computing
    4. Google Confidential Computing
    5. Kubernetes
    6. Docker Swarm
    7. Docker
    8. FHE.org
    9. Google's Private Join and Compute
    10. Microsoft SEAL (microsoft/SEAL)
    11. TensorFlow Federated (tensorflow/federated)
    12. PySyft (OpenMined/PySyft)
    13. Google's Differential Privacy Library (google/differential-privacy)
    14. OpenDP (opendp/opendp)
    15. Presidio (microsoft/presidio)
    16. Nympy
    17. AWS API Gateway
    18. Azure API Management
    19. Okta
    20. Auth0

    AI recommended 20 alternatives but never named NVIDIA/OpenShell. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What platforms offer sandboxed execution environments with policy control for autonomous agents?
    you: not recommended
    AI recommended (in order):
    1. Google Cloud Anthos
    2. Anthos Config Management
    3. Anthos Service Mesh
    4. AWS Outposts
    5. AWS Nitro Enclaves
    6. Azure Arc
    7. Azure Policy
    8. Azure Kubernetes Service (AKS)
    9. OpenShift
    10. OpenShift Container Platform
    11. OpenShift Service Mesh
    12. Kata Containers (kata-containers/kata-containers)
    13. gVisor (google/gvisor)

    AI recommended 13 alternatives but never named NVIDIA/OpenShell. 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 NVIDIA/OpenShell?
    pass
    AI named NVIDIA/OpenShell explicitly

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

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

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

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NVIDIA/OpenShell — 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