Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add Citlyze/citlyze-skills --skill citlyze-citation-gapgit clone --depth 1 https://github.com/Citlyze/citlyze-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/citlyze/citlyze-skills/citlyze-citation-gap)<a href="https://agentmods.dev/skills/citlyze/citlyze-skills/citlyze-citation-gap"><img src="https://agentmods.dev/badge/skills/citlyze/citlyze-skills/citlyze-citation-gap/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/citlyze/citlyze-skills/citlyze-citation-gap"><img src="https://agentmods.dev/badge/skills/citlyze/citlyze-skills/citlyze-citation-gap.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00068 | $0.00683 |
| Opus 5 | $0.00034 | $0.00342 |
| Sonnet 5 | $0.00014 | $0.00137 |
| Haiku 4.5 | $0.00007 | $0.00068 |
Grade A, and why
citlyze-citation-gap scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 47 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Citlyze citation gap analysis
Turn raw citation data into a classified gap map: who AI engines trust today, where your owned pages are missing, and which third-party surfaces are worth pursuing.
Prerequisites
The Citlyze MCP server must be connected (setup guide). Tools are read-only and default to the latest completed measurement window.
Workflow
- Orient. Call
get_workspace_overviewfor the target brand and competitor list. - Pull citations. Call
list_citations. Each entry indomainshasdomain,citation_count, and up to a fewsample_citations(url,title). Use a higherlimit(max 100) for fuller coverage. - Classify every domain into channels, using the brand's own domains and competitor names from step 1 plus the sample URLs/titles:
- owned domains
- competitor sites
- peer companies
- earned media (press, publishers, news)
- user reviews and review platforms
- user-generated content (forums, Q&A)
- social platforms
- affiliate sites
- other third-party sources Also tag the apparent content type where the samples make it obvious: listicle/top list, comparison, blog or news, research or report, documentation, product page, wiki-style, social.
- Find the gaps. Ask three questions of the classified table:
- Where do competitors get cited on surfaces you are absent from (a listicle or review site citing them, not you)?
- Which heavily cited third-party domains accept contributions, listings, or reviews you could legitimately pursue?
- What share of citations is owned vs everything else, and is any owned page conspicuously missing for its topic?
- Deliver two artifacts:
- Citation map table: domain, channel, content type, citation count, one-line "why it gets cited".
- Target list: top 5-10 actions, each with domain, action (pitch a listing, publish comparison page, earn a review, improve owned page), and expected difficulty.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 11d ago First seen · 47 lines · 68 tokens per session scan A 86b405526129
citlyze-citation-gap is a skill published in the GitHub repository Citlyze/citlyze-skills (0 stars, last pushed 1mo ago), licensed MIT. It adds 68 tokens to every session and 683 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
ganhuo-geo-engineer
Use this Skill when the user provides an existing article, product page, tutorial, FAQ, or knowledge note and wants to rebuild it into a GEO or AI-search-friendly content asset. Use it for old-content refresh, citation-readiness improvement, answer-first restructuring, GEO upgrades, and Ganhuo AI content workflows. Do…
xerj-code
Reference-coding with XERJ. Clone the libraries that already solved your problem, index them locally, and retrieve the exact implementation before writing code — so the agent reads passages instead of re-deriving algorithms across retry loops. Use when starting a task in an unfamiliar API, porting an algorithm, or…
fire-your-seo-agency
A procedure for improving how a website appears in search engines and how AI answer systems find and cite it. It covers search, answer-engine, generative-AI, and Naver visibility.
geo-loop
Run one bounded eGEOagents loop iteration over a workspace domain - read the charter and fresh collector data, do ONE unit of work, write substrate artifacts, append one Timeline entry and one LOG line. Use for loop mode, /geo:loop, scheduled GEO runs, or continuous monitoring.
competitive-analysis
Analyze AI-search competitors for a query and recommend ranking strategy. Use when users ask competitor analysis, who ranks, or competitive landscape.
validation-doctor
Check Brave Search and Chrome DevTools MCP availability and provide exact setup snippets. Use when validation dependencies are missing or uncertain.