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AC rankrat

Query Google Search Console, Google Tag Manager, Bing Webmaster Tools, GA4, Microsoft Clarity, PageSpeed, CrUX, Cloudflare analytics, and Bing backlink intelligence; manage typed tags and safe edge redirects; run Lighthouse and bounded whole-site/internal-link audits; persist monitors and issue history; automate ownership and finite remediation through one self-hosted MCP server. Speaks MCP over stdio and Streamable HTTP, plus a FastAPI JSON API. Use when the user wants to inspect or improve SEO, indexing, ownership, internal links, tags, redirects, backlinks, browser scores, performance history, or search traffic for sites they control.

ClawHub Agent Skills author: Ciprian Mandache v0.20.0 MIT-0 3 files body ≈ 3 630 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

Query Google Search Console, Google Tag Manager, Bing Webmaster Tools, GA4, Microsoft Clarity, PageSpeed, CrUX, Cloudflare analytics, and Bing backlink…

As a process C 58/100 · Has gaps — weak spots: result and completion, inputs and preconditions, progress reporting

ProcedureCloudflareGoogle AnalyticsDockerData and analyticsMarketingtype 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
A
93/100
safety, quality, tests
Safety 60%
98
Quality 40%
86
Run on models
none yet
Process rating
C
58/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

    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 · 2

    ✓ No critical or high findings

    Medium and low: 2
    • low Dangerous commands cmd-privilege references/setup.md:203
      Privilege escalation / world-writable permissions (documentation of a security skill)
      sudo bash rankrat-install.sh --system  # system-wide -> /usr/local/bin/rankrat
      security skill
    • low Dangerous commands cmd-privilege references/setup.md:322
      Privilege escalation / world-writable permissions (documentation of a security skill)
      `--no-sandbox` because its built-in namespace/setuid sandbox cannot coexist with
      security skill

    Files scanned: 3. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "homepage"
    • note frontmatter-key unknown frontmatter key "permissions"

    Process rating: all ten parameters 58/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 55Failures and branches. 1 branches
    • 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
    • 70When it triggers. States when to use, but not when not to
    • 100Steps. 30 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 3630 tokens
    • 100Running it twice. Mutating operations check current state
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

    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 645: enough signal without eating the budget
    • +4Structure: 8 headings
    • +3Step-by-step instructions: 30 items
    • +4Has examples (3 code blocks)
    • +4Reference files are cited in the instructions (1 of 1)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 86.

    External checks

    ClawHub: clean
    Rankrat is a powerful SEO and analytics integration skill, but its credential use, write authority, persistence, Docker execution, and read-only controls are clearly disclosed and fit its stated purpose.
    LLM: benign (high) · VirusTotal: · 17 Aug 2026