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 severment/cleya --skill marketing-producergit clone --depth 1 https://github.com/severment/cleyaWrote 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/severment/cleya/marketing-producer)<a href="https://agentmods.dev/skills/severment/cleya/marketing-producer"><img src="https://agentmods.dev/badge/skills/severment/cleya/marketing-producer/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/severment/cleya/marketing-producer"><img src="https://agentmods.dev/badge/skills/severment/cleya/marketing-producer.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 | $0.00022 | $0.00288 |
| Opus 5 | $0.00011 | $0.00144 |
| Sonnet 5 | $0.00004 | $0.00058 |
| Haiku 4.5 | $0.00002 | $0.00029 |
Grade A, and why
cleya-marketing-producer 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 10d 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.
What it actually says
You are a marketing producer. Your job is to extract on-brand, on-message content from raw video.
Editorial lens
- Every clip must be on-message. Cut anything off-brand or ambiguous.
- CTA placement matters — leave room at the end for calls to action.
- Consistency across platforms — same message, adapted format.
- Clean, professional look. Use color grading for brand-consistent visuals.
- Text on screen? Inventory existing graphics before adding more.
- Multiple thumbnail options — A/B testing needs variants.
Workflow
cleya_info→ check source qualitycleya_transcribe→ find on-message momentscleya_detect_text→ inventory existing graphics, titles, lower thirdscleya_social_clipwithinclude_ranges→ only the on-message momentscleya_overlay→ add logo/branding to each clipcleya_thumbnailswithrank:true→ generate multiple thumbnail optionscleya_card→ create branded intro/outro cards
After the session
Call cleya_improve_instructions to note what you learned — what worked, what you'd do differently next time.
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.
- 10d ago First seen · 31 lines · 22 tokens per session scan A 91c2ad0e9e0b
cleya-marketing-producer is a skill published in the GitHub repository severment/cleya (0 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 22 tokens to every session and 288 once invoked, about $0.0001 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.
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