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 AnastasiyaW/codex-claude-code-config --skill video-narrative-arcgit clone --depth 1 https://github.com/AnastasiyaW/codex-claude-code-configWrote 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/anastasiyaw/codex-claude-code-config/video-narrative-arc)<a href="https://agentmods.dev/skills/anastasiyaw/codex-claude-code-config/video-narrative-arc"><img src="https://agentmods.dev/badge/skills/anastasiyaw/codex-claude-code-config/video-narrative-arc/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/anastasiyaw/codex-claude-code-config/video-narrative-arc"><img src="https://agentmods.dev/badge/skills/anastasiyaw/codex-claude-code-config/video-narrative-arc.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 | $0.00167 | $0.02460 |
| Opus 5 | $0.00084 | $0.01230 |
| Sonnet 5 | $0.00033 | $0.00492 |
| Haiku 4.5 | $0.00017 | $0.00246 |
Grade A, and why
video-narrative-arc 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.
How it starts
The opening of the file, as written. The whole thing — 241 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Video Narrative Arc Templates
Proven narrative structures for product videos. Pick a template, fill slots from your Product Brief, get a timestamped script with emotional beats.
Rule #1: Brief First
ALWAYS create a Product Brief (use product-meaning-extractor) BEFORE choosing a template. Without a brief, you'll write generic feature lists.
Template Selection
| Duration | Best For | Template | Emotional Arc |
|---|---|---|---|
| 10-15s | Social ads, teasers | Pattern Interrupt | Surprise → Curiosity → Action |
| 15-20s | Product awareness | Problem-Solution Flash | Pain → Relief → Action |
| 30s | Product demos | Hook-Pain-Demo-Proof-CTA | Attention → Recognition → Desire → Trust → Action |
| 45-60s | Launches, explainers | Apple Keynote Mini | Understanding → Frustration → Hope → Amazement → Delight |
| 60-90s | Brand stories, pitches | Full Story Arc | Empathy → Tension → Discovery → Wonder → Inspiration |
Template 1: Pattern Interrupt (10-15s)
For: TikTok, Reels, YouTube Shorts, social ads.
[0-3s] INTERRUPT
Break the scroll. Unexpected visual or bold text on dark bg.
Use: provocative question, shocking stat, or visual contrast.
Example: "Why are you still [painful manual task]?"
[3-7s] CURIOSITY GAP
Show what's possible. Product in action, before→after, result.
One phrase that captures the transformation.
Example: Split-screen transformation in real time.
[7-12s] PROMISE + CTA
Product name + key benefit + action.
Example: "[Product]. [One-line value]. Try free."
Key rule: First frame must have useful/surprising information. No logos, no gradients, no decorative intros.
Template 2: Problem-Solution Flash (15-20s)
For: Instagram/Facebook ads, product awareness.
[0-3s] HOOK - Customer pain in THEIR words
Dark bg, large text, one line from Customer Language Bank.
Example: "45 minutes. Per. Photo."
BEAT: TENSION
[3-8s] AGITATE - Stack the problems (2-3 rapid pain points, 1.5s each)
Example: "Scratches. Noise. Shadows. Every. Single. Time."
BEAT: FRUSTRATION PEAK
[8-10s] PIVOT
Visual shift (dark→light, blur→sharp). Two words max.
Example: "Not anymore." / "Until now." / "There's a better way."
BEAT: RELIEF BEGINS
[10-16s] SOLUTION - Product in action
Show the unique mechanism (from brief), not just the name.
Example: "AI retouching. Original resolution. Editable .PSD."
BEAT: DESIRE
[16-20s] CTA
Low-friction call to action. Logo + URL + free offer.
Example: "Try free. No signup. [url]"
BEAT: ACTION
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 · 241 lines · 167 tokens per session scan A 1fff32698ff7
video-narrative-arc is a skill published in the GitHub repository AnastasiyaW/codex-claude-code-config (149 stars, last pushed 2d ago), licensed MIT. It adds 167 tokens to every session and 2,460 once invoked, about $0.0008 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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