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BD launchranked-seo

Technical SEO and AI-search (GEO) playbook for improving a website from its own codebase, using LaunchRanked's live checks. Use when the user wants to improve SEO, rank on Google, get cited by ChatGPT, Perplexity, Claude or Google AI Overviews, fix titles, meta descriptions, canonicals, sitemaps, robots.txt, structured data (JSON-LD), llms.txt, broken links or page speed, audit their site, or plan a product launch and directory submissions for backlinks.

ClawHub Agent Skills author: Piyush Aaryan v1.0.1 MIT-0 4 files body ≈ 2 361 tokens Open the sourceclawhub.ai↗ analyzed 6 d ago

Technical SEO and AI-search (GEO) playbook for improving a website from its own codebase, using LaunchRanked's live checks.

As a process D 41/100 · Unfinished process — References files that are not bundled: url

ProcedureMarketingSoftware developmentAI and agentstype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
B
93/100
safety, quality, tests
Safety 60%
100
Quality 40%
82
Run on models
none yet
Process rating
D
41/100
Unfinished process
References files that are not bundled: url
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

  1. The text references files that are not there: add them or drop the references.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 0

✓ No critical or high findings

Files scanned: 4. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: url

Process rating: all ten parameters 41/100

Will not run. References files that are not bundled: url
  • 0Tools and files. 1 referenced file(s) missing: url
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 30Running it twice. 7 mutating operations with no state check
  • 70When it triggers. States when to use, but not when not to
  • 100Steps. 41 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2361 tokens
  • 100Progress reporting. Reports progress

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +3Description length 458: enough signal without eating the budget
  • +4Structure: 8 headings
  • +3Step-by-step instructions: 41 items
  • +4Has examples (0 code blocks)
  • +4Reference files are cited in the instructions (2 of 2)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 82.

External checks

ClawHub: clean
This is a coherent SEO and AI-search guidance skill that uses public site checks and optional signed-in LaunchRanked reports, with sensitive actions mostly disclosed and user-gated.
LLM: benign (high) · VirusTotal: · 29 Sept 2026