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 OpenClaudia/openclaudia-skills --skill ai-citations-reportgit clone --depth 1 https://github.com/OpenClaudia/openclaudia-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/openclaudia/openclaudia-skills/ai-citations-report)<a href="https://agentmods.dev/skills/openclaudia/openclaudia-skills/ai-citations-report"><img src="https://agentmods.dev/badge/skills/openclaudia/openclaudia-skills/ai-citations-report/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/openclaudia/openclaudia-skills/ai-citations-report"><img src="https://agentmods.dev/badge/skills/openclaudia/openclaudia-skills/ai-citations-report.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Data Exfiltration · line 33 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 | $0.00073 | $0.00816 |
| Opus 5 | $0.00036 | $0.00408 |
| Sonnet 5 | $0.00015 | $0.00163 |
| Haiku 4.5 | $0.00007 | $0.00082 |
Grade A, and why
ai-citations-report scanned grade A with 1 finding 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 13d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -X POST https://www.enception.ai/api/external/ai-citations \ How it starts
The opening of the file, as written. The whole thing — 64 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI Citations Report
Generate a styled, client-ready GEO report showing which AI-search prompts cite a domain across Google AI Overview and ChatGPT.
This skill is a thin client over the Enception AI Citations API (POST https://www.enception.ai/api/external/ai-citations). Do not re-implement the data pull or report HTML locally — all logic (LLM Mentions pull, cited-vs-retrieved classification, traffic trend, content coverage, HTML→PDF) runs server-side.
Disclosure: This skill was contributed by Enception AI and calls Enception's paid API. Citation data comes from DataForSEO LLM Mentions; traffic figures are modelled estimates.
API docs: https://www.enception.ai/doc/api-ai-citations
Requirements
ENCEPTION_API_KEY— access key for the Enception API. Self-serve: sign up at https://www.enception.ai, then generate a free-tier key under Account → API Key (10 reports/month free; contact the team for higher limits).
What it produces
A styled PDF (or HTML/JSON) with:
- Summary table of every prompt that cited or retrieved the domain
- Organic traffic, 12-month month-over-month trend, and position distribution
- Full cited-prompt answer cards with the domain's source highlighted
- Retrieved-but-not-cited gap cards (content opportunities)
- Optional per-article citation coverage for URLs you pass in
How to run
curl -X POST https://www.enception.ai/api/external/ai-citations \
-H 'Content-Type: application/json' \
-d '{
"domain": "example.com",
"brandName": "Example Inc",
"locationCode": 2840,
"articles": ["my-article-slug", "https://example.com/articles/another-post"],
"passcode": "'"$ENCEPTION_API_KEY"'"
}' \
-o ai-citations-example.com.pdf
Then open the PDF and visually verify (traffic cards, trend deltas, source highlights) before presenting it.
Options
domain(required) — the site to analyze.brandName,locationCode,languageCode,genDate(optional) — default to the domain,2840(US),en, and today. Common location codes:2840= US,2826= UK,2124= Canada.articles[](optional) — article slugs or full URLs for the content-coverage section. Omit to skip that section.format(optional) —pdf(default),html, orjson(jsonreturns{citedCount, retrievedCount, promptCount, html}; useful for debugging or piping counts elsewhere).
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.
- 13d ago First seen · 64 lines · 73 tokens per session scan A 5e659a58a696
ai-citations-report is a skill published in the GitHub repository OpenClaudia/openclaudia-skills (689 stars, last pushed today), licensed MIT. It adds 73 tokens to every session and 816 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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