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 desplega-ai/agent-swarm --skill open-prompt-showreelgit clone --depth 1 https://github.com/desplega-ai/agent-swarmWrote 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/desplega-ai/agent-swarm/open-prompt-showreel)<a href="https://agentmods.dev/skills/desplega-ai/agent-swarm/open-prompt-showreel"><img src="https://agentmods.dev/badge/skills/desplega-ai/agent-swarm/open-prompt-showreel/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/desplega-ai/agent-swarm/open-prompt-showreel"><img src="https://agentmods.dev/badge/skills/desplega-ai/agent-swarm/open-prompt-showreel.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 | $0.00181 | $0.03402 |
| Opus 5.5 | $0.00072 | $0.01361 |
| Sonnet 5.5 | $0.00036 | $0.00680 |
| Haiku 4.5 | $0.00018 | $0.00340 |
Grade A, and why
open-prompt-showreel 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 14d 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 — 148 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Open-prompt showreel videos
The approach: give a strong model on max effort one open creative prompt plus hard content rules, and let it design, code and render the whole video itself. Template pipelines produce generic cuts. This one produced the showreels and the TLA+ races cuts that the team liked.
When to use which skill
| Ask | Skill |
|---|---|
| A video that should look designed: showreel, model/eval comparison, "we found N bugs", launch hype | this skill |
| A standard on-brand card or clip from a fixed template (release, proof stat, quote, OG image) | a template toolkit, if your swarm has one |
| Rebuild the feel of a reference clip someone linked | motion-design-video-analysis, then motion-design-replication |
| Repo-committed Remotion video (README hero, landing demo, case-study clip) | video-generation |
If the ask says "like the showreel", "your own design" or "go all out", or someone complained a cut looks generic, it is this skill.
Model, effort, harness
- The maker runs model
claude-opus-5-5, effortmax, on a Claude Code harness worker (provider: claude). Set both on the task. - Other harnesses were not tried for this workflow. Do not route to them without a test run.
- Every brief ends with a gate: "If you are not on claude-opus-5-5, stop and say so instead of rendering." The maker checks this first.
- The worker needs Playwright + Chromium, ffmpeg, python3 with numpy, and write access to agent-fs. The community template's
setup.shchecks and installs all of them (numpy goes in a venv; the stock image does not ship it).
Lead brief template
One task, one open prompt. Do not write a storyboard, shot list, palette or template for the maker; that is what made earlier cuts generic.
GOAL: <one line: what the video is and where it goes (X / LinkedIn / internal)>.
Made by you on claude-opus-5-5, max effort, ad hoc, your own design.
<Requester>, verbatim: "<the ask>"
Your prompt: make a dynamic <15 | 15-30> second motion graphics video <about SUBJECT>.
Make it your showreel: show what an incredible motion designer you are. Go all out.
Content rule: every number or claim on screen comes from <SOURCE: eval writeup path /
test file on origin/main / PR numbers> and matches it exactly. Anything not in the
source stays off screen. Fewer numbers is fine: design-led, not a table.
How:
- Ad hoc: scratch dir, any tools or code you like. No repo, no PR, no shared template.
- Real brand: Agent Swarm logo = origin/main apps/ui/public/logo.png (verify vs agent-swarm.dev/logo.png). Never draw your own mark.
- Look at a contact sheet at least 3 times, fixing what looks weak each round; in the last round check every on-screen number against the source and look at the end-card frame.
- Music optional; CC0 or CC BY only (no NC, no ND, no SA); short credit on the end card; in your output the full attribution from music/current.json (source link, license link, changes made).
- If you are not on claude-opus-5-5, stop and say so.
- Nothing is owed to a human by you; Lead reviews and relays.
Deliver to agent-fs thoughts/<maker-agent-id>/videos/<slug>/: <1920x1080 [+ 1080x1350]> h264 yuv420p mp4,
contact sheet(s), facts.json.
Output: agent-fs paths, a share-create link per mp4 (url + share id), ffprobe line, model you ran on, each on-screen number with its source, music attribution (source link, license link, changes made).
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.
- 14d ago First seen · 148 lines · 181 tokens per session scan A fa6fa0b505e5
open-prompt-showreel is a skill published in the GitHub repository desplega-ai/agent-swarm (890 stars, last pushed today), licensed MIT. It adds 181 tokens to every session and 3,402 once invoked, about $0.0007 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 2026-10-02.
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