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Rankscale Geo Analytics
by
Rankscale AI
· GitHub ↗
· v1.0.11
400
Downloads
0
Stars
1
Active Installs
6
Versions
Install in OpenClaw
/install rs-geo-analytics
Description
Fetch and interpret Rankscale GEO (Generative Engine Optimization) analytics. Pulls brand visibility score, citation rate, sentiment, and top AI search terms.
Usage Guidance
This skill is internally coherent: it needs Node and your Rankscale PRO API key and then calls rankscale.ai to fetch GEO metrics. Before installing: (1) Confirm you trust rankscale.ai and that your API key has only the permissions you expect (the skill will send the key to Rankscale's API). (2) Prefer storing the key in your gateway's secret manager rather than a plaintext .env file; if you use .env follow the provided chmod guidance. (3) Check how your environment provisions Node (the install spec references installing node) so you know whether any system-level installer will run. (4) Review the small docs inconsistency around the base API path (some docs reference /api/v1 vs /v1/metrics/) — this is minor but you may want to verify network requests in a safe environment on first run. If you need stronger isolation, run the script in a sandboxed environment or inspect network traffic on first invocation.
Capability Analysis
Type: OpenClaw Skill
Name: rs-geo-analytics
Version: 1.0.11
The OpenClaw skill `rs-geo-analytics` is classified as benign. All network communication is confined to the legitimate `https://rankscale.ai` API, and file system access is limited to reading local documentation files. There is no evidence of data exfiltration to untrusted endpoints, command injection vulnerabilities, persistence mechanisms, or obfuscation. The `SKILL.md` and other documentation files provide clear instructions for the user and examples of prompts, but do not contain any malicious prompt injection attempts against an AI agent.
Capability Assessment
Purpose & Capability
Name/description (Rankscale GEO analytics) match the declared requirements: node runtime, a single Rankscale API key, and .env for optional local persistence. The code and docs consistently call Rankscale endpoints (rankscale.ai) to fetch reports, citations, sentiment, and search-term data — all expected for this purpose.
Instruction Scope
SKILL.md instructs only to obtain a Rankscale PRO API key, set RANKSCALE_API_KEY (optionally RANKSCALE_BRAND_ID), and run node rankscale-skill.js. The code reads process.env and CLI args, makes HTTP(S) requests to rankscale.ai endpoints, and prints results. There are no instructions to read unrelated system files, harvest other credentials, or post data to unfamiliar external endpoints.
Install Mechanism
Install spec only lists 'node' as required/installed; this is proportional for a JS CLI skill. The install entry 'kind: node' / 'creates binaries: node' is slightly odd (installing Node itself may be a platform-level action), but there are no downloads from private URLs or archived extracts in the spec. Overall install behavior appears reasonable but platform integrators should confirm how 'node' is provisioned (package manager vs custom download).
Credentials
Only a single required secret (RANKSCALE_API_KEY) is declared and used as the primary credential. .env is suggested for local persistence (with chmod 600 guidance). The skill does not request unrelated tokens, passwords, or cloud credentials.
Persistence & Privilege
The skill is not force-installed (always: false). It does not request or modify other skills' configs. Autonomous invocation is allowed (platform default) but not combined with broad or unrelated credential access.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install rs-geo-analytics - After installation, invoke the skill by name or use
/rs-geo-analytics - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.11
Version 1.0.11 of rs-geo-analytics
- No code or documentation changes detected in this release.
- Version updated for administrative or metadata reasons only.
v1.0.10
- Version updated from 1.0.8 to 1.0.10.
- SKILL.md branding updated: renamed main header from "RS-Skill — Rankscale GEO Analytics for OpenClaw" to "Rankscale GEO Analytics".
- Minor formatting and spacing cleanups in SKILL.md.
- No functional changes or new features added in this version.
v1.0.9
- Updated SKILL.md structure for improved compatibility with OpenClaw, including new `metadata.openclaw` fields.
- Added OpenClaw-specific metadata such as environment requirements, config files, homepage link, and install instructions.
- Removed fields like `id`, `author`, `repository`, `vendor`, `primaryCredential`, `credentials`, and `tags` from the top-level SKILL.md.
- No changes made to functionality or usage; the update is metadata/manifest-only.
v1.0.8
Version 1.0.8
- Added formal environment and credential requirements to SKILL.md, including RANKSCALE_API_KEY and optional RANKSCALE_BRAND_ID.
- Documented sensitive credential details and clarified API key format and usage.
- Declared required system binary (node) in the manifest.
- No code changes; documentation and configuration updates only.
v1.0.7
- Added a structured frontmatter block to SKILL.md with metadata fields such as name, id, version, description, author, repository, vendor, and tags.
- No functional or feature changes—documentation improvements only.
v1.0.6
- Adds detailed setup and usage instructions for integrating Rankscale GEO analytics with OpenClaw.
- Explains requirements for Rankscale PRO account and REST API activation.
- Documents all major features: GEO overview, engine strength, content gap analysis, reputation score, engine movers, sentiment change alerts, and citation intelligence.
- Provides sample real-world prompts and CLI usage examples for each feature.
- Lists environment variable setup and command references for quick start.
Metadata
Frequently Asked Questions
What is Rankscale Geo Analytics?
Fetch and interpret Rankscale GEO (Generative Engine Optimization) analytics. Pulls brand visibility score, citation rate, sentiment, and top AI search terms. It is an AI Agent Skill for Claude Code / OpenClaw, with 400 downloads so far.
How do I install Rankscale Geo Analytics?
Run "/install rs-geo-analytics" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Rankscale Geo Analytics free?
Yes, Rankscale Geo Analytics is completely free (open-source). You can download, install and use it at no cost.
Which platforms does Rankscale Geo Analytics support?
Rankscale Geo Analytics is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Rankscale Geo Analytics?
It is built and maintained by Rankscale AI (@mathias-rs); the current version is v1.0.11.
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