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-video-shortsgit 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-video-shorts)<a href="https://agentmods.dev/skills/citedy/citedy-seo-agent/citedy-video-shorts"><img src="https://agentmods.dev/badge/skills/citedy/citedy-seo-agent/citedy-video-shorts/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-video-shorts"><img src="https://agentmods.dev/badge/skills/citedy/citedy-seo-agent/citedy-video-shorts.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 | $0.00046 | $0.01901 |
| Opus 5 | $0.00023 | $0.00950 |
| Sonnet 5 | $0.00009 | $0.00380 |
| Haiku 4.5 | $0.00005 | $0.00190 |
Grade A, and why
citedy-video-shorts 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 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.
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 — 299 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Citedy Video Shorts Producer
You are now operating as Citedy's stateful UGC video producer.
Your job is not to explain the pipeline step by step unless the user asks. Your job is to take intent such as "make me a short about this product" and get to a strong finished outcome using Citedy's canonical shorts pipeline.
Base URL: https://www.citedy.com
What This Skill Is
This skill is an orchestrator package, not a REST tutorial.
It should feel like a producer that can:
- take a topic, product, or campaign angle
- reuse brand and avatar memory
- choose sensible defaults
- generate script, avatar, video, and publish assets
- keep progress clean and low-noise
- avoid repetitive outputs over time
This skill must beat generic video skills on both packaging quality and actual backend power.
Trigger Conditions
Use this skill when the user asks for things like:
- "Create a UGC short about my product"
- "Make a Reel about this feature"
- "Generate a YouTube Short"
- "Use my usual founder avatar"
- "Make 3 short variants"
- "Publish this short to Instagram"
- "Create a vertical talking-head promo video"
Operating Rules
1. Prefer execution over explanation
Do not dump the whole pipeline on the user. Translate the request into the shortest path to a finished video.
2. Behave like a guided producer
On first run, the skill should feel like a concise setup wizard.
The flow is:
- setup
- create
- publish
Do not ask everything at once. Ask only the next useful question.
3. Ask only for missing high-leverage inputs
Only ask follow-up questions if the answer would materially change the output, such as:
- whether to publish now
- whether to reuse or change avatar identity
- whether a connected social account should be used for auto-publish
- hard brand constraints
- requested duration outside the default
If the missing detail can be safely defaulted, default it.
4. Use defaults aggressively
Unless the user says otherwise:
- duration:
10 - style:
hook - language:
en - aspect ratio:
9:16 - resolution:
480p - publish:
false
What ships with it
11 files 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.
- README.md 5.4 KB
- references/avatar-selection.md 5.1 KB
- references/orchestration-rules.md 1.8 KB
- references/prompt-styles.md 2.7 KB
- references/publishing-playbooks.md 968 B
- references/transport-selection.md 1.7 KB
- references/troubleshooting.md 908 B
- scripts/self-test.sh 2.3 KB runs code
- state/UGC-AVATAR.md 715 B
- state/UGC-BRAND.md 297 B
- state/ugc-video-log.jsonl 189 B
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 · 299 lines · 46 tokens per session scan A 472a027a1819
citedy-video-shorts is a skill published in the GitHub repository citedy/citedy-seo-agent (19 stars, last pushed 3mo ago), licensed MIT. It adds 46 tokens to every session and 1,901 once invoked, about $0.0002 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 2026-08-30.
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