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 jeremylongworth-source/AgentSkills --skill longform-to-shortsgit clone --depth 1 https://github.com/jeremylongworth-source/AgentSkillsWrote 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/jeremylongworth-source/agentskills/longform-to-shorts)<a href="https://agentmods.dev/skills/jeremylongworth-source/agentskills/longform-to-shorts"><img src="https://agentmods.dev/badge/skills/jeremylongworth-source/agentskills/longform-to-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/jeremylongworth-source/agentskills/longform-to-shorts"><img src="https://agentmods.dev/badge/skills/jeremylongworth-source/agentskills/longform-to-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 | $0.00063 | $0.00307 |
| Opus 5 | $0.00032 | $0.00153 |
| Sonnet 5 | $0.00013 | $0.00061 |
| Haiku 4.5 | $0.00006 | $0.00031 |
Grade A, and why
longform-to-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 8d 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
Longform To Shorts
Core Workflow
- Identify source asset, audience, platforms, content rights, and reuse goal.
- Extract moments with clear hook, standalone context, payoff, and visual or audio viability.
- Turn each moment into short-form script, clip note, caption, title, and CTA.
- Preserve accuracy and avoid removing context that changes meaning.
- Add editing notes: timestamps, b-roll, subtitles, on-screen text, and aspect ratio needs.
- Create a repurposing plan by platform and priority.
Safety Rules
- Do not change meaning by clipping out necessary context.
- Do not reuse third-party material without rights or attribution review.
- Do not invent timestamps, quotes, or source claims.
Deliverable Shape
For repurposing plans, provide:
- Source and rights notes
- Clip candidates
- Hook and payoff
- Script or edit notes
- Caption and CTA
- Platform adaptation
- Risk or context caveats
References
- Read
references/longform-to-shorts-checklist.mdwhen repurposing long-form content.
What ships with it
2 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.
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.
- 8d ago First seen · 42 lines · 63 tokens per session scan A 0f1087ff3733
longform-to-shorts is a skill published in the GitHub repository jeremylongworth-source/AgentSkills (1 stars, last pushed 9d ago), licensed MIT. It adds 63 tokens to every session and 307 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 2026-09-03.
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