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 Rieranthony/product-film-skill --skill product-filmgit clone --depth 1 https://github.com/Rieranthony/product-film-skillWrote 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/rieranthony/product-film-skill/product-film)<a href="https://agentmods.dev/skills/rieranthony/product-film-skill/product-film"><img src="https://agentmods.dev/badge/skills/rieranthony/product-film-skill/product-film/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/rieranthony/product-film-skill/product-film"><img src="https://agentmods.dev/badge/skills/rieranthony/product-film-skill/product-film.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 | $0.00107 | $0.01374 |
| Opus 5.5 | $0.00043 | $0.00550 |
| Sonnet 5.5 | $0.00021 | $0.00275 |
| Haiku 4.5 | $0.00011 | $0.00137 |
Grade A, and why
product-film 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 today.
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 — 61 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Product film
A film that looks like the product made it: its colors, type, components, logo and voice, cut to music. Built in Remotion inside (or beside) the product's codebase, so it reuses real components and stays editable.
Non-negotiables
- Their design wins. Every rule comes from the product: its tokens, components, rules files, landing page and copy. Never carry another product's taste in, including anything in this skill that their design contradicts.
- Ask, don't assume. What the film shows and how it is made are the user's call. Interview them before writing the story (reference/interview.md). Offer options drawn from what you found in their code, never generic ones.
- Every frame is a pure function of time. No CSS transitions or keyframes, no timers, no
Date.now(), no state carried between frames. A component that runs its own clock gets a frame-driven twin. - Measure, never guess. Beats come from the audio, positions from the DOM (debug overlay), colors from decoded pixels of the final files.
- Honest claims. Show only what the product really does. Find its claims rules and approved lines before writing a word.
- Ask first before committing, pushing or publishing. Keep every rendered version (
out/<film>/v1,v2, ...).
Workflow
- Quick discovery. Just enough to ask good questions: rules files, tokens, components, the logo (and any mascot or animated mark), the landing page, the main features. See reference/discovery.md.
- Interview. Two rounds of AskUserQuestion: the brief, then the ingredients. A third round only if needed. See reference/interview.md.
- Brand kit →
videos/BRAND.md. Finish discovery on what they chose and fill templates/BRAND.md. - Story →
videos/<film>-prompt.md. Read reference/story.md and reference/ingredients.md, then fill templates/film-prompt.md. Checkpoint with the user: beat sheet and 3 style frames. - Music. Skip if the film is silent. See reference/music.md:
scripts/beats.py, the per-bar stem map,scripts/audio-edit.py, SFX on measured peaks. - Engine and scenes. Read reference/engine.md.
- Copy templates/kit/ into
videos/src/kit/. - One folder per film:
cues.ts(the beat sheet as data),layout.ts,acts/, the composition.
- Copy templates/kit/ into
- Review loop. See reference/review.md.
- Stills at every handoff (
scripts/stills.ts,--debugto measure). - Contact and handoff sheets, then a half-res draft.
- Fix, repeat, and show the user frames as you go.
- Stills at every handoff (
- Final render, verify, deliver. See reference/render.md:
scripts/render.ts, thenscripts/verify.py, then send the files.
What ships with it
24 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.
- reference/discovery.md 4.0 KB
- reference/engine.md 6.1 KB
- reference/ingredients.md 5.4 KB
- reference/interview.md 2.2 KB
- reference/music.md 3.0 KB
- reference/render.md 2.0 KB
- reference/review.md 2.6 KB
- reference/story.md 2.5 KB
- scripts/audio-edit.py 1.8 KB runs code
- scripts/beats.py 7.2 KB runs code
- scripts/render.ts 4.2 KB runs code
- scripts/stills.ts 2.0 KB runs code
- scripts/verify.py 3.1 KB runs code
- templates/BRAND.md 3.2 KB
- templates/film-prompt.md 3.1 KB
- templates/kit/camera.ts 1.5 KB runs code
- templates/kit/cursor-path.ts 2.1 KB runs code
- templates/kit/cursor.tsx 2.5 KB
- templates/kit/debug.tsx 1.2 KB
- templates/kit/dither.ts 2.4 KB runs code
- templates/kit/move.ts 1.2 KB runs code
- templates/kit/punchlines.tsx 3.1 KB
- templates/kit/spring.ts 1.7 KB runs code
- templates/kit/time.ts 1.1 KB runs code
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.
- today First seen · 61 lines · 107 tokens per session scan A 65825fbc4bdf
product-film is a skill published in the GitHub repository Rieranthony/product-film-skill (424 stars, last pushed 1mo ago), licensed MIT. It adds 107 tokens to every session and 1,374 once invoked, about $0.0004 per session on Opus 5.5. 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 2026-11-07.
product-film compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| product-filmRieranthony/product-film-skill | Skill | 424 | 1mo ago | MIT | A | 107 | Claude Code, Codex |
| webgl-holographic-foilnexu-io/open-design | Skill | 106k | yesterday | Apache-2.0 | A | 41 | Claude Code, Codex |
| html-ppt-hermes-cyber-terminalnexu-io/open-design | Skill | 106k | yesterday | Apache-2.0 | A | 53 | Claude Code, Codex |
| html-ppt-taste-brutalistnexu-io/open-design | Skill | 106k | yesterday | Apache-2.0 | A | 78 | Claude Code, Codex |
| visual-ralphYeachan-Heo/oh-my-codex | Skill | 34k | 3d ago | MIT | A | 52 | Codex |
| glance-canonical-layoutsandroid/skills | Skill | 10k | yesterday | Apache-2.0 | A | 56 | Claude Code |
| accessibilitymicrosoft/hve-core | Skill | 1.6k | yesterday | MIT | A | 47 | Claude Code |