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 calesthio/generative-media-skills --skill social-short-productiongit clone --depth 1 https://github.com/calesthio/generative-media-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/calesthio/generative-media-skills/social-short-production)<a href="https://agentmods.dev/skills/calesthio/generative-media-skills/social-short-production"><img src="https://agentmods.dev/badge/skills/calesthio/generative-media-skills/social-short-production/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/calesthio/generative-media-skills/social-short-production"><img src="https://agentmods.dev/badge/skills/calesthio/generative-media-skills/social-short-production.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00137 | $0.07091 |
| Opus 5 | $0.00068 | $0.03546 |
| Sonnet 5 | $0.00027 | $0.01418 |
| Haiku 4.5 | $0.00014 | $0.00709 |
Grade A, and why
social-short-production 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 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.
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 — 430 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Social Short Production
Produce an intentional short video, not merely a vertical crop. Treat each platform as a distinct playback, interface, policy, and measurement environment.
Evidence labels
Interpret guidance by its label:
- Documented fact — stated by a platform, regulator, standard, or other primary authority. Recheck volatile facts before delivery.
- Research finding — supported in a cited study but bounded by that study's population and context.
- Production heuristic — a starting practice to test against the brief, audience, platform preview, and analytics; never present it as an algorithmic rule.
Do not turn a heuristic such as “hook in three seconds,” “cut every two seconds,” or “master at -14 LUFS” into a universal requirement. Platform metrics and recommendation systems change, and audience intent can outweigh tempo.
Define the production contract
Before scripting or cutting, resolve the fields that can change the result:
- Objective: awareness, qualified attention, education, community response, lead/action, or conversion. Select one primary outcome and at most two guardrails.
- Audience state: who is watching, what they already know, what they doubt, and why this clip is relevant in this viewing context.
- Promise: the specific value delivered by watching. Make it provable inside the clip.
- Source of truth: approved brief, transcript, footage, product build, data, citations, or spokesperson. Mark unverified claims.
- Distribution surfaces: exact organic, paid, boosted, or partner placements. “Social” is not a platform specification.
- Action after viewing: remember, comment, save, share, follow, click, install, purchase, or watch a longer item.
- Constraints: duration ceiling, languages, brand rules, accessibility, age or regulated category, review deadline, budget, and available analytics.
- Rights and representation: owners and license scope for footage, music, graphics, fonts, trademarks, likenesses, voices, testimonials, and synthetic media.
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 · 430 lines · 137 tokens per session scan A ab74fa159345
social-short-production is a skill published in the GitHub repository calesthio/generative-media-skills (170 stars, last pushed 2mo ago), licensed MIT. It adds 137 tokens to every session and 7,091 once invoked, about $0.0007 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.
Other skills, from other repositories
cliptalk-cover-director
Produces evidence-backed cover candidates and reviewable cover variants for a ClipTalk video. Use when the user asks for a cover, poster frame, thumbnail, or multiple cover directions; do not use for timeline editing or social-video reframing.
cliptalk-smart-reframe
Creates a subject-aware, time-varying crop track and a review-only social-format preview from an accepted ClipTalk cut. Use for automatic vertical, square, or portrait reframing; do not use for a fixed manual crop or before content editing is accepted.
cliptalk-content-extractor
Locates and assembles source passages matching a semantic request. Use for extracting explanations, topics, quotes, demonstrations, or other specifically described content.
cliptalk-interview-editor
Produces a coherent interview edit by combining speaker discovery, topic selection, dialogue context, cleanup, subtitles, and preview. Use for interviews, podcasts, testimonials, or question-and-answer recordings.
cliptalk-shortform-hook-director
Finds and assembles a reviewable short-form cut with a strong opening hook. Use for Shorts, Reels, social clips, talking-head cutdowns, or requests for a punchier opening.
cliptalk-social-reframe-exporter
Creates a review-only 9:16, 4:5, 1:1, or 16:9 version from an existing accepted ClipTalk cut, then checks the rendered preview. Use only when a cut already exists and the user asks to adapt it for Shorts, Reels, Douyin, Xiaohongshu, WeChat Channels, or square feeds; do not use when the user still needs content found…