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 citedy/citedy-seo-agent --skill citedy-content-ingestiongit clone --depth 1 https://github.com/citedy/citedy-seo-agentWrote 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/citedy/citedy-seo-agent/citedy-content-ingestion)<a href="https://agentmods.dev/skills/citedy/citedy-seo-agent/citedy-content-ingestion"><img src="https://agentmods.dev/badge/skills/citedy/citedy-seo-agent/citedy-content-ingestion/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/citedy/citedy-seo-agent/citedy-content-ingestion"><img src="https://agentmods.dev/badge/skills/citedy/citedy-seo-agent/citedy-content-ingestion.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 | $0.00053 | $0.03309 |
| Opus 5 | $0.00026 | $0.01655 |
| Sonnet 5 | $0.00011 | $0.00662 |
| Haiku 4.5 | $0.00005 | $0.00331 |
Grade A, and why
citedy-content-ingestion 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 12d 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.citedy.com/api/agent/ingest \ This is a copy
94% identical to citedy-content-ingestion — 9 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 476 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Content Ingestion — Skill Instructions
Connection: REST API over HTTPS
Base URL: https://www.citedy.com
Auth: Authorization: Bearer $CITEDY_API_KEY
Overview
Turn any URL into structured content your agent can use. Pass a link — the skill extracts the full text, transcript, metadata, and summary — and returns it as clean structured data ready for your LLM pipeline.
Supported content types:
- YouTube videos — full transcription via Gemini Video API (not just captions)
- Web articles — clean article text with metadata
- PDF documents — text extraction from public PDF URLs
- Audio files — transcription from MP3/WAV/M4A files
Differentiator: YouTube ingestion uses the Gemini Video API for deep video understanding — it goes beyond auto-generated captions, capturing speaker intent, visual context, and structure.
Use this skill as a standalone input node for any LLM pipeline. Feed the output directly into summarization, Q&A, article generation, or knowledge base indexing.
When to Use
Use this skill when the user:
- Asks to extract, transcribe, or summarize a URL
- Shares a YouTube video and wants the content analyzed or repurposed
- Shares a PDF link and wants the text extracted
- Wants to ingest audio content for transcription
- Is building a pipeline that needs to pull content from the web
Instructions
Setup
To authenticate, register your agent and obtain an API key:
-
Register your agent:
POST https://www.citedy.com/api/agent/register Content-Type: application/json { "agent_name": "My Agent" } -
Approve the registration — you will receive an approval URL in the response. Open it in your browser to confirm.
-
Save your API key — after approval, the key (prefixed
citedy_agent_) is returned. Store it asCITEDY_API_KEYin your environment.
All subsequent requests use Authorization: Bearer $CITEDY_API_KEY.
Core Workflow
Single URL Ingestion
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 12d ago First seen · 476 lines · 53 tokens per session scan A 7a1c487772da
citedy-content-ingestion is a skill published in the GitHub repository citedy/citedy-seo-agent (19 stars, last pushed 3mo ago), licensed MIT. It adds 53 tokens to every session and 3,309 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 94% identical to citedy-content-ingestion, differing in 9 lines, and is treated as a copy.
Other skills, from other repositories
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youtube-transcribe
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