RRepoGEO

REPOGEO REPORT · LITE

always-further/nono

Default branch main · commit fb9be2d8 · scanned 5/28/2026, 7:06:33 AM

GitHub: 2,509 stars · 171 forks

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 always-further/nono, 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 value proposition to the very top of the README

    Why:

    CURRENT
    The README's first substantive sentence after the intro block is "nono is a capability-based, policy-governed runtime for AI agents."
    COPY-PASTE FIX
    Add the following as the absolute first line of the README (before any badges or intro blocks): "nono is a capability-based, policy-governed runtime for AI agents, providing fine-grained control over host resources with zero setup and zero latency."
  • mediumreadme#2
    Add a comparison section to differentiate from general security tools

    Why:

    COPY-PASTE FIX
    Add a new section to the README, e.g., "### How nono Compares" or "### Why nono for AI Agents?", that explicitly highlights its unique focus on securing *AI agents* compared to broader system sandboxing or policy enforcement solutions.
  • lowabout#3
    Refine the GitHub 'About' description for conciseness and impact

    Why:

    CURRENT
    Capability-based agent runtime with fine-grained policies . Brokering access directly within the agent's operating context, with zero setup and zero latency
    COPY-PASTE FIX
    Secure, capability-based runtime for AI agents, providing fine-grained policy enforcement over host resources with zero setup.

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 always-further/nono
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
kubernetes/kubernetes
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. kubernetes/kubernetes · recommended 1×
  2. open-policy-agent/opa · recommended 1×
  3. kyverno/kyverno · recommended 1×
  4. Pod Security Standards (PSS) · recommended 1×
  5. kata-containers/kata-containers · recommended 1×
  • CATEGORY QUERY
    How to securely run AI agents with fine-grained control over host resource access?
    you: not recommended
    AI recommended (in order):
    1. Kubernetes (kubernetes/kubernetes)
    2. Open Policy Agent (OPA) (open-policy-agent/opa)
    3. Kyverno (kyverno/kyverno)
    4. Pod Security Standards (PSS)
    5. Kata Containers (kata-containers/kata-containers)
    6. gVisor (google/gvisor)
    7. Firecracker (firecracker-microvm/firecracker)
    8. Docker (moby/moby)
    9. Podman (containers/podman)
    10. AppArmor
    11. SELinux
    12. KVM (Kernel-based Virtual Machine)
    13. VMware ESXi
    14. Microsoft Hyper-V

    AI recommended 14 alternatives but never named always-further/nono. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best tools for sandboxing AI agent code execution to prevent unauthorized access?
    you: not recommended
    AI recommended (in order):
    1. gVisor
    2. Kata Containers
    3. Firecracker
    4. Docker
    5. NSjail
    6. Wasmtime
    7. Wasmer
    8. chroot

    AI recommended 8 alternatives but never named always-further/nono. 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 always-further/nono?
    pass
    AI named always-further/nono explicitly

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

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

    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 always-further/nono. 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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MARKDOWN (README)
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always-further/nono — 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