REPOGEO REPORT · LITE

RickyTong1/audit-harness

Default branch main · commit 89406743 · scanned 6/6/2026, 5:57:50 PM

GitHub: 602 stars · 6 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 RickyTong1/audit-harness, 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 README H1 to clearly state AI agent audit focus
Why:
CURRENT
```
# audit-harness
```
COPY-PASTE FIX
```
# audit-harness: A Three-Layer Audit Enforcement Framework for AI Agents
```

hightopics#2

Add specific topics for AI agent auditing

Why:

COPY-PASTE FIX

ai-agents, llm-auditing, compliance, policy-enforcement, generative-ai, context-management, audit-reports, agent-framework

mediumreadme#3

Add a concise English introduction paragraph to the README

Why:

COPY-PASTE FIX

audit-harness is a robust, three-layer framework designed to ensure AI agents consistently adhere to predefined audit policies. It provides hooks, skills, and context recovery mechanisms, culminating in audit-driven daily reports to enforce compliance and facilitate continuous improvement.

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 RickyTong1/audit-harness

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

open-policy-agent/opa

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

open-policy-agent/opa · recommended 1×
Microsoft Azure Policy · recommended 1×
AWS Config · recommended 1×
Google Cloud Policy Intelligence · recommended 1×
IBM Cloud Security and Compliance Center · recommended 1×

CATEGORY QUERY
How to ensure AI agents consistently adhere to predefined compliance guidelines and audit policies?
you: not recommended
AI recommended (in order):
1. OpenPolicyAgent (OPA) (open-policy-agent/opa)
2. Microsoft Azure Policy
3. AWS Config
4. Google Cloud Policy Intelligence
5. IBM Cloud Security and Compliance Center
6. Datadog
7. Splunk
AI recommended 7 alternatives but never named RickyTong1/audit-harness. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What framework helps AI agents maintain context and generate actionable audit reports for improvement?
you: not recommended
AI recommended (in order):
1. LangChain (langchain-ai/langchain)
2. LlamaIndex (run-llama/llama_index)
3. Haystack (deepset-ai/haystack)
4. AutoGPT (Significant-Gravitas/AutoGPT)
5. BabyAGI (yoheinakajima/babyagi)
6. Microsoft Guidance (microsoft/guidance)
7. DSPy (stanfordnlp/dspy)
AI recommended 7 alternatives but never named RickyTong1/audit-harness. 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 RickyTong1/audit-harness?
pass
AI named RickyTong1/audit-harness explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts RickyTong1/audit-harness in production, what risks or prerequisites should they evaluate first?
pass
AI named RickyTong1/audit-harness 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 RickyTong1/audit-harness solve, and who is the primary audience?
pass
AI named RickyTong1/audit-harness 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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RickyTong1/audit-harness — 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