Roblox Homepage Ranking Auditor logo

Roblox Homepage Ranking Auditor

Community
kennyzir
roblox-homepage-ranking-auditor

Audit a Roblox or game-site homepage against the RB Auto Golden Homepage model. Use when Codex must inspect a live homepage or repository, identify the primary player job and main engine, score structural ranking potential across eight dimensions, detect empty query modules, weak information gain, root/child intent conflicts, duplicate full tools, generic content, and missing P0 internal links, then return evidence-backed PASS/REMEDIATE/BLOCKED and minimal repair orders. Do not use for generic site-wide SEO audits, backlink analysis, traffic forecasting, or factual accuracy scoring alone.

Overview

Publisherkennyzir
Repository7deer_skills
Skill nameroblox-homepage-ranking-auditor
Stars
329
Forks
143
Bundled files
13
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 13 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by kennyzir on GitHub. Read the source before you install it.

Installation

Install the Roblox Homepage Ranking Auditor AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/kennyzir/7deer_skills/tree/main/roblox-homepage-ranking-auditor
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/kennyzir/7deer_skills.git /tmp/7deer_skills
mkdir -p .claude/skills
cp -r /tmp/7deer_skills/roblox-homepage-ranking-auditor .claude/skills/roblox-homepage-ranking-auditor
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Roblox Homepage Ranking Auditor in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Roblox Homepage Ranking Auditor on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Roblox Homepage Ranking Auditor is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Roblox Homepage Ranking Auditor

Objective

Determine whether an existing game-site homepage conforms to the RB Auto Golden Homepage model and has strong homepage structural ranking potential under a controlled assumption:

  • new site;
  • zero backlinks and zero domain history;
  • no advantage from keyword search volume or game popularity;
  • facts are evaluated separately from homepage structure;
  • the audit compares what the homepage itself is designed to do, not current rankings.

The primary output is not “good SEO” or “bad SEO.” It is:

  1. What player job the homepage owns.
  2. What main engine creates non-generic value.
  3. Which query families belong to / and which belong to child routes.
  4. Whether the homepage directly answers, summarizes, routes, or merely names each intent.
  5. An eight-dimension structural score out of 100.
  6. Structural blockers, separate delivery gates, and minimal repair work orders.

When This Skill Applies

Use this skill when the user asks Codex to:

  • audit a Roblox/game-site homepage for new-site ranking potential;
  • judge whether a homepage matches the RB Auto golden model;
  • review whether the homepage has a suitable main engine;
  • detect a thin, templated, keyword-only, or generic homepage;
  • inspect homepage versus child-page intent ownership;
  • find homepage/internal-page cannibalization or duplicate calculators;
  • produce a homepage score, verdict, and actionable repair plan;
  • validate a newly generated RB Auto homepage before launch.

Do Not Use This Skill For

  • backlink, DR, DA, domain-age, or brand-strength analysis;
  • estimating current traffic or keyword search volume;
  • generic full-site technical SEO audits;
  • checking factual accuracy as part of the 100-point structural score;
  • evaluating maintainability, future extensibility, or production cost inside the structural score;
  • rewarding a page merely for adding “verified,” dates, sources, author bios, or social proof;
  • redesigning the whole repository when only the homepage is under review.

Non-Negotiable Model Boundary

Keep these systems separate:

A. Homepage Structural Ranking Power — scored 0–100

Measures the homepage model itself:

  • main-topic clarity;
  • core-intent satisfaction;
  • query coverage;
  • information gain;
  • content depth and specificity;
  • topic structure;
  • internal-link efficiency;
  • search-intent boundary.

B. Fact Consistency Gate — PASS / FAIL / NOT_CHECKED

Checks whether facts, codes, data, labels, formulas, and child-page values are consistent. It never adds or removes points from the structural score.

C. Delivery and Runtime Gate — PASS / FAIL / NOT_CHECKED

Checks whether the rendered page, mobile experience, links, and tools actually work. It never adds points to the structural score.

D. Technical Eligibility Gate — PASS / FAIL / NOT_CHECKED

Checks whether the page is eligible to participate normally in search: successful response/build, indexability, canonical, crawlable content, and crawlable links.

A strong homepage model can receive a high structural score while publication remains blocked by factual, runtime, or technical failure. Do not merge these conclusions.

Required Audit Modes

Use the strongest available mode. Do not ask the user for information already present in the repository.

  1. Combined mode — preferred: repository + built HTML/live URL + child routes.
  2. Repository mode: inspect source, data, route map, and build output.
  3. URL mode: inspect live rendered homepage and discover same-domain child routes.
  4. HTML snapshot mode: inspect supplied/exported HTML; mark unavailable gates NOT_CHECKED.

Required Evidence Sources

Before scoring, inspect as many of these as exist:

  • homepage source component;
  • metadata definition;
  • homepage data/content source;
  • route manifest or sitemap;
  • keyword/page mapping;
  • page-generation plan or homepage contract;
  • built/exported homepage HTML;
  • at least the P0 child pages linked by the homepage;
  • the complete tool route if a mini/full tool exists;
  • browser/runtime behavior for interactive engines;
  • current Git SHA and worktree status for repository audits.

Never score from a screenshot alone when source or HTML is available.

Required Resources

Read these before completing the corresponding step:

Use assets/rubric.yaml as the machine-readable source for weights and thresholds.

Workflow

0. Freeze the Audit Baseline

For a repository audit:

  1. Record repository root, branch, HEAD SHA, and worktree status.
  2. Do not modify source files in audit-only mode.
  3. Record the exact URL, local route, or HTML file being audited.
  4. Record the audit timestamp and evidence limitations.
  5. If the worktree is dirty, continue read-only unless user requested repairs; never discard, stash, or overwrite unrelated work.

1. Locate the Homepage Truth Sources

Search the repository rather than guessing framework paths. Find:

  • root route implementation;
  • layout and metadata;
  • content/data inputs;
  • homepage-specific components;
  • interactive tools;
  • child-route definitions;
  • sitemap/navigation/route manifest;
  • research artifacts and keyword-to-page mapping.

Create a short source map with file paths and purposes.

2. Reconstruct the Intended Homepage Strategy

Infer or read the following, labeling every item as DECLARED, OBSERVED, or INFERRED:

yaml
game_archetype: rpg-build | simulator-roi | collection-team | trade-value | route-progression | risk-softlock | data-live | other
primary_player_job: one sentence
player_problem: one sentence
main_engine:
  type: build-planner | damage-calculator | value-comparator | trade-comparator | upgrade-roi | rebirth-planner | team-builder | starter-selector | anti-softlock-checklist | first-hour-route | live-stats | database | other | none
  mode: full | mini | route | checklist | data | none
  location: homepage | child-page | both | absent
layout_variant: tool-first | risk-first | route-first | data-first | mixed | generic

Rules:

  • Choose one primary player job, not a list of all possible intents.
  • Select the main engine by the game’s central player decision, not genre name alone.
  • A first-hour route or anti-softlock checklist can be a valid main engine; it need not be a calculator.
  • If the homepage has no defensible primary job or main engine, state that explicitly. Do not invent one to improve the score.

3. Build the Query-Family and Intent-Ownership Map

For every meaningful query family, assign exactly one canonical owner and one homepage treatment:

yaml
query_family: game-codes
canonical_owner: /codes/
homepage_treatment: primary | direct | summary | status | link-only | excluded
answer_depth: full | partial | status-only | none
evidence: selector, source path, or excerpt

Use these definitions:

  • primary: the homepage is the definitive destination.
  • direct: homepage gives a complete usable answer for a compact intent.
  • summary: homepage gives a useful conclusion plus a reason to visit the child owner.
  • status: homepage gives a current state, such as “3 active codes” or “none active.”
  • link-only: contextual, descriptive route only; not counted as a direct answer.
  • excluded: intentionally absent from the homepage.

Every query family must have one owner. Do not let both / and a child route own the same complete intent.

4. Run the Deterministic Evidence Scanner

Use the included scanner where possible:

bash
python .agents/skills/roblox-homepage-ranking-auditor/scripts/audit_homepage.py \
  --url "https://example.com/" \
  --game-name "Example Game" \
  --child-url "https://example.com/codes/" \
  --child-url "https://example.com/tier-list/" \
  --output "artifacts/homepage-audit/homepage_machine_evidence.json"

For exported HTML:

bash
python .agents/skills/roblox-homepage-ranking-auditor/scripts/audit_homepage.py \
  --html "out/index.html" \
  --game-name "Example Game" \
  --child-html "out/codes/index.html" \
  --child-html "out/tier-list/index.html" \
  --output "artifacts/homepage-audit/homepage_machine_evidence.json"

The scanner supplies evidence and warnings. It does not replace semantic scoring. Review every machine flag before accepting it.

5. Apply the Technical Eligibility Gate

Evaluate separately:

  • HTTP/build success;
  • no accidental noindex;
  • root canonical is correct;
  • primary content exists in rendered HTML;
  • P0 internal links are crawlable anchors;
  • mobile and desktop do not intentionally expose different core content;
  • no redirect or client-only failure hides the homepage.

Do not continue to a publish-ready verdict if this gate fails, but still complete the structural audit when evidence permits.

6. Score the Eight Structural Dimensions

Use references/scoring-rubric.md.

For each dimension:

  1. assign a raw rating from 0 to 5 in 0.5 increments;
  2. cite at least one concrete positive or negative evidence item;
  3. calculate weighted_score = raw_rating / 5 × weight;
  4. state the single most important reason for the score;
  5. do not reward claims that are unsupported by rendered content or working behavior.

Weights:

DimensionWeight
Main-topic clarity10
Core-intent satisfaction20
Query coverage14
Information gain18
Content depth and specificity14
Topic structure8
Internal-link efficiency10
Search-intent boundary6
Total100

7. Apply the Genericity Test

Perform both tests:

Game-name deletion test

Mentally replace the game name with [GAME]. Determine how much meaningful body copy could be reused unchanged for unrelated games in the same genre.

Entity/mechanic density test

Count whether the page contains concrete:

  • named entities;
  • mechanics;
  • steps;
  • conditions;
  • choices;
  • numerical relationships;
  • consequences;
  • exceptions;
  • personalized outputs.

Do not confuse long copy with depth.

8. Detect Structural Blockers

Apply references/hard-blockers.md. Each blocker requires evidence. Never create a blocker from aesthetics or personal preference.

At minimum check:

  • missing primary player job;
  • missing or mismatched main engine;
  • keyword-only modules;
  • empty Codes promise;
  • fake Tier List;
  • low game specificity;
  • full homepage/child duplication;
  • intent-owner conflict;
  • duplicate full tool;
  • missing P0 homepage links;
  • generic fallback homepage;
  • absence of meaningful L2/L3 information gain.

9. Apply the Separate Gates

Fact Consistency Gate

Compare shared facts and structures across homepage and child pages. Output only PASS, FAIL, or NOT_CHECKED with evidence. Do not change structural points.

Delivery and Runtime Gate

Test tools, forms, buttons, responsive layout, and rendered output. Output only PASS, FAIL, or NOT_CHECKED with evidence. Do not add structural points for normal functionality.

10. Determine Verdicts

Structural verdict
  • PASS: score ≥ 85, no structural blocker, core intent ≥ 17/20, information gain ≥ 14/18, intent boundary ≥ 5/6, main-topic clarity ≥ 8/10.
  • REMEDIATE: score 75–84.99, or total ≥ 85 but a required subscore misses threshold, with no fatal structural blocker.
  • BLOCKED: score < 75 or any fatal structural blocker.
Publication verdict
  • READY: structural verdict is PASS and all three gates are PASS.
  • NOT_READY: any gate FAIL or structural verdict REMEDIATE/BLOCKED.
  • NOT_VERIFIED: structural audit completed but one or more required publication gates are NOT_CHECKED.

11. Produce Minimal Repair Work Orders

In audit-only mode, do not edit code. Output repair work orders.

Each work order must solve one core homepage problem and contain:

yaml
id: HOME-REPAIR-001
priority: P0 | P1 | P2
problem_code: HOME_DUPLICATE_FULL_TOOL
user_result: one visible outcome
allowed_files: explicit paths or discovery rule
must_preserve: explicit existing blocks/behavior
change: precise minimal change
acceptance_criteria: testable conditions
tests: commands and browser checks
out_of_scope: explicit exclusions

Follow scope-cutting rules:

  • one work order, one core user/search problem;
  • do not introduce a new framework;
  • do not rewrite correct blocks;
  • do not create generic abstractions before repeated need;
  • do not bundle site-wide redesign into homepage repair;
  • P0 repairs first; defer optional polish.

12. Write Mandatory Outputs

Create:

text
artifacts/homepage-audit/
├── homepage_audit.md
├── homepage_audit.json
├── homepage_machine_evidence.json
└── homepage_repair_orders.json

Use assets/homepage_audit.schema.json for JSON shape and references/report-template.md for the human report.

Audit Confidence

Report audit_confidence separately from structural score. It measures evidence completeness, not homepage quality.

Suggested evidence coverage:

  • live or exported rendered HTML: 25;
  • homepage source and data inputs: 20;
  • child routes inspected: 15;
  • build/runtime interaction tested: 15;
  • keyword/page mapping or homepage plan inspected: 10;
  • internal link and route manifest inspected: 10;
  • mobile viewport inspected: 5.

Do not shrink or inflate the structural score based on audit confidence. State limitations instead.

Completion Contract

The audit is incomplete unless the final response contains:

  1. STRUCTURAL_VERDICT.
  2. STRUCTURAL_SCORE / 100.
  3. PUBLICATION_VERDICT.
  4. Reconstructed primary player job and main engine.
  5. Eight-dimension score table with evidence.
  6. Root/child intent-ownership map.
  7. Structural blockers with exact evidence.
  8. Separate technical, factual, and runtime gates.
  9. The three highest-leverage repairs in priority order.
  10. Machine-readable artifact paths or an explicit statement that artifact creation was impossible.

Never end with a generic list of SEO suggestions.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Roblox Homepage Ranking Auditor AI skill do?

Audit a Roblox or game-site homepage against the RB Auto Golden Homepage model. Use when Codex must inspect a live homepage or repository, identify the primary player job and main engine, score structural ranking potential across eight dimensions, detect empty query modules, weak information gain, root/child intent conflicts, duplicate full tools, generic content, and missing P0 internal links, then return evidence-backed PASS/REMEDIATE/BLOCKED and minimal repair orders. Do not use for generic site-wide SEO audits, backlink analysis, traffic forecasting, or factual accuracy scoring alone.

Why use Roblox Homepage Ranking Auditor on TypingMind?

Because you install it once and use it with any model. Roblox Homepage Ranking Auditor is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Roblox Homepage Ranking Auditor in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/kennyzir/7deer_skills/tree/main/roblox-homepage-ranking-auditor. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Roblox Homepage Ranking Auditor?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Roblox Homepage Ranking Auditor?

As many as you like. As long as a model supports skills, you can use Roblox Homepage Ranking Auditor with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Roblox Homepage Ranking Auditor AI skill free?

Yes. It is published on GitHub by kennyzir under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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