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 krillinai/growth-skills --skill marketing-videogit clone --depth 1 https://github.com/krillinai/growth-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/krillinai/growth-skills/marketing-video)<a href="https://agentmods.dev/skills/krillinai/growth-skills/marketing-video"><img src="https://agentmods.dev/badge/skills/krillinai/growth-skills/marketing-video/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/krillinai/growth-skills/marketing-video"><img src="https://agentmods.dev/badge/skills/krillinai/growth-skills/marketing-video.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 61 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00109 | $0.06342 |
| Opus 5 | $0.00055 | $0.03171 |
| Sonnet 5 | $0.00022 | $0.01268 |
| Haiku 4.5 | $0.00011 | $0.00634 |
Grade A, and why
marketing-video 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 — 323 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Marketing Video
Reuse Growth Context
At the start, read .agents/growth-context.md when it exists. Reuse only product, customer, market, outcome, constraint, evidence, and routing fields whose scope, definition, source, and date remain compatible; state what is reused and surface conflicts or staleness before asking for decision-changing gaps. The file grants no system access or execution authority, and this Skill must not silently rewrite the primary diagnosis.
Turn one bounded audience decision into truthful, comprehensible, accessible, production-ready video and purposeful adaptations. Optimize qualified customer understanding and downstream value, not video volume, opening-hook metrics, watch time, engagement, attributed conversion, or production polish alone.
Read The Relevant References
- Read video-contract.md before accepting product, claim, script, footage, person, voice, music, brand, channel, or rights evidence.
- Read tools-and-dependencies.md before selecting a video model, avatar service, API, editing application, programmatic renderer, local model, KrillinAI workflow, or delivery stack.
- Read scripting-storyboard-and-production.md before scripting, storyboarding, recording, generating, editing, compositing, templating, or repurposing.
- Read localization-rights-and-accessibility.md before transcription, translation, captions, subtitles, dubbing, voice work, market adaptation, or accessibility review.
- Read delivery-qa-and-measurement.md before rendering, encoding, delivery, player QA, performance analysis, or retirement.
- Use playbook-sources.md when citing the pinned Growth Playbook basis.
Do not load provider details merely to write a brief or script. Do load them when the user asks what tool, model, account, API, runtime, budget, or production path is needed.
What ships with it
8 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.
- agents/openai.yaml 299 B
- evals/evals.json 26 KB
- references/delivery-qa-and-measurement.md 4.6 KB
- references/localization-rights-and-accessibility.md 4.1 KB
- references/playbook-sources.md 1.1 KB
- references/scripting-storyboard-and-production.md 4.4 KB
- references/tools-and-dependencies.md 11 KB
- references/video-contract.md 4.6 KB
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 · 323 lines · 109 tokens per session scan A ad5e041368c4
marketing-video is a skill published in the GitHub repository krillinai/growth-skills (43 stars, last pushed 16d ago), licensed MIT. It adds 109 tokens to every session and 6,342 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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