citation-radar skillA
citation-radar is agent-read markdown (skill) from varunk130/ai-gtm-skill-library: Audits how likely AI answer engines (ChatGPT, Claude, Perplexity, Gemini, Google AI Overviews) are to cite your pages for the questions buyers ask, then ranks fixes by citation lift. Use when: ai search visibility, generative engine optimization, geo audit, aeo, llm citations, are we cited in ai answers, ai overviews, answer engine optimization..
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.
What the file says
# Citation Radar (CLEAR Framework) Buyers now ask an assistant before they open a search results page. Classic SEO audits measure rank; this skill measures whether a page is the kind of source an answer engine can lift a sentence from and credit. It works from the buyer's questions backward, not from keywords forward. ## Core Principle **Answer engines cite claims, not pages.** A page earns citations when it contains short, specific, attributable statements that directly answer a question someone actually asks. ## The CLEAR Framework | Letter | Dimension | What It Checks | Weight | |---|---|---|---| | **C** | Claim density | Specific, checkable statements per 100 words (numbers, named entities, dates) | 0.25 | | **L** | Liftability | Answer sits in the first 40-60 words of the section; lists and tables for comparisons | 0.15 | | **E** | Evidence | Named author, dated update, primary sources, schema markup | 0.20 | | **A** | Answer match | Does an H2/H3 or first sentence answer the buyer question verbatim? | 0.25 | | **R** | Rarity | Information not found on the top competing pages (original data, pricing, benchmarks) | 0.15 | …
Read the whole file at its exact version.
How to install
mdr add varunk130/ai-gtm-skill-library/citation-radar@git:20260919.8d9b560mdr add varunk130/ai-gtm-skill-library/citation-radar@sha256:392249586889bf6dPin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
[](https://markdownregistry.com/a/art_d2y6ctq3m2vvem5k)
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Versions
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (3270 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
varunk130/ai-gtm-skill-library · 6 stars · license MIT · pushed 2026-09-19 · branch master
API
GET https://markdownregistry.com/api/v1/artifacts/art_d2y6ctq3m2vvem5k GET https://markdownregistry.com/api/v1/resolve?ref=varunk130/ai-gtm-skill-library/citation-radar GET https://markdownregistry.com/api/v1/blob/392249586889bf6d5a6327f8f1e6c5c2663db38c68b04f6af6e5ec3453f43d55
Your agent does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.