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 saas-product-demo-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/saas-product-demo-production)<a href="https://agentmods.dev/skills/calesthio/generative-media-skills/saas-product-demo-production"><img src="https://agentmods.dev/badge/skills/calesthio/generative-media-skills/saas-product-demo-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/saas-product-demo-production"><img src="https://agentmods.dev/badge/skills/calesthio/generative-media-skills/saas-product-demo-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 | $0.00095 | $0.07925 |
| Opus 5 | $0.00048 | $0.03963 |
| Sonnet 5 | $0.00019 | $0.01585 |
| Haiku 4.5 | $0.00010 | $0.00792 |
Grade A, and why
saas-product-demo-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 — 623 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SaaS product demo production
Use this skill to turn a software product brief into a production-ready demo video plan, script, capture direction, generated-media prompt set, edit plan, delivery matrix, and QA pass. It is provider-independent: adapt it to real screen recording, browser automation, synthetic screens, motion graphics, avatar narration, or AI video generation without assuming a specific tool.
The core job is not "show the UI." The job is to make the right viewer understand a valuable workflow, trust the evidence, and know what to do next without exposing private data or overstating the product.
Non-negotiables
Treat these as production constraints, not suggestions:
- Start from audience, use case, and proof. A demo organized by the product navigation usually feels like a tour; a demo organized by the buyer's job feels like a solution.
- Use only approved demo tenants, seeded mock data, synthetic data, or explicitly cleared customer data. Never capture live production accounts, real customer names, internal tickets, API keys, session tokens, email addresses, payment details, unreleased roadmap, admin consoles, or analytics that security/legal/client stakeholders have not approved.
- Substantiate every objective claim before writing it into narration, captions, on-screen text, thumbnails, or ad copy. The FTC states that advertising claims should be truthful, non-deceptive, and evidence-based, and its substantiation policy expects a reasonable basis for express and implied objective claims before dissemination. Do not treat this skill as legal advice; escalate regulated, comparative, performance, financial, health, security, privacy, AI, or pricing claims to the appropriate reviewer.
- Put required disclosures close to the claim they qualify. FTC .com Disclosures guidance emphasizes clear and conspicuous disclosure placement, proximity, prominence, duration, cadence, understandable language, and the overall net impression of the ad. If a platform or short cutdown cannot carry the disclosure clearly, change the claim or do not use that placement.
- Caption prerecorded audio. WCAG SC 1.2.2 calls for captions on prerecorded synchronized media with audio. Caption dialogue, speaker changes, meaningful sound effects, and important non-speech audio. Prefer sidecar captions for platforms that support them; burn in captions only when the distribution context needs always-on readability.
- Make important visual information available beyond the pixels. If the demo depends on on-screen changes, describe them in narration, provide a text alternative, or add audio description for accessibility-sensitive deliveries. WCAG SC 1.2.5 requires audio description for prerecorded video at Level AA unless the main audio already conveys the important visual information.
- Keep text, callouts, subtitles, UI, and disclosure overlays legible. Use WCAG contrast discipline for all production graphics: aim for at least 4.5:1 for normal text, 3:1 for large text and non-text UI indicators, and never rely on color alone to convey meaning.
- Re-check delivery specs at production time. Platform ad specs, safe zones, duration limits, caption support, and file limits change. Treat any platform-specific numbers in this skill as volatile examples verified on 2026-07-10, not permanent truth.
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 · 623 lines · 95 tokens per session scan A 723e287db736
saas-product-demo-production is a skill published in the GitHub repository calesthio/generative-media-skills (170 stars, last pushed 2mo ago), licensed MIT. It adds 95 tokens to every session and 7,925 once invoked, about $0.0005 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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