RRepoGEO

REPOGEO REPORT · LITE

Tommy-yw/RunbookHermes

Default branch main · commit d651fd6d · scanned 5/8/2026, 6:26:56 AM

GitHub: 537 stars · 29 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
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 Tommy-yw/RunbookHermes, 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
  • hightopics#1
    Add relevant topics to improve categorization

    Why:

    COPY-PASTE FIX
    ["aiops", "incident-response", "runbook-automation", "remediation", "llm-agent", "hermes-agent", "observability", "devops", "sre", "payment-systems"]
  • highreadme#2
    Refine README's opening paragraph for clearer category positioning

    Why:

    CURRENT
    RunbookHermes is built by adapting the official **Hermes Agent** runtime into a production-oriented incident-response system. It keeps Hermes Agent's strengths—runtime loop, provider routing, tool system, memory, context engine, skills, gateway, and safety boundaries—and specializes them for AIOps workflows such as payment-system failures, observability evidence collection, approval, checkpoint, rollback, recovery verification, and runbook knowledge accumulation.
    COPY-PASTE FIX
    RunbookHermes is a production-grade AIOps platform built on the Hermes Agent runtime, specializing in evidence-driven incident response, approval-gated remediation, and automated runbook learning. It extends Hermes Agent's core strengths—runtime loop, provider routing, tool system, memory, context engine, skills, gateway, and safety boundaries—to streamline AIOps workflows for critical systems like payment-system failures, observability evidence collection, approval, checkpoint, rollback, recovery verification, and runbook knowledge accumulation.
  • mediumhomepage#3
    Add a homepage URL to the repository

    Why:

    COPY-PASTE FIX
    (Provide a URL to the project's documentation, demo, or main website)

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 Tommy-yw/RunbookHermes
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
PagerDuty
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. PagerDuty · recommended 1×
  2. Process Automation (formerly RunDeck) · recommended 1×
  3. Splunk On-Call · recommended 1×
  4. Jira Service Management · recommended 1×
  5. Opsgenie · recommended 1×
  • CATEGORY QUERY
    How to automate incident response with approval gates and runbook learning for production systems?
    you: not recommended
    AI recommended (in order):
    1. PagerDuty
    2. Process Automation (formerly RunDeck)
    3. Splunk On-Call
    4. Jira Service Management
    5. Opsgenie
    6. Ansible Tower
    7. Cortex
    8. AWX
    9. StackStorm
    10. Hubot
    11. BotKube

    AI recommended 11 alternatives but never named Tommy-yw/RunbookHermes. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools provide AIOps for evidence-driven root cause analysis and automated remediation?
    you: not recommended
    AI recommended (in order):
    1. Dynatrace
    2. Splunk IT Service Intelligence (ITSI)
    3. Splunk Observability Cloud
    4. Splunk APM
    5. Log Observer
    6. Moogsoft
    7. LogicMonitor AIOps
    8. Datadog
    9. Watchdog
    10. ServiceNow IT Operations Management (ITOM)
    11. Health Log Analytics

    AI recommended 11 alternatives but never named Tommy-yw/RunbookHermes. 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 Tommy-yw/RunbookHermes?
    pass
    AI named Tommy-yw/RunbookHermes explicitly

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

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

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

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MARKDOWN (README)
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Tommy-yw/RunbookHermes — 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