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 ai-driven-dev/framework --skill release-videogit clone --depth 1 https://github.com/ai-driven-dev/frameworkWrote 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/ai-driven-dev/framework/release-video)<a href="https://agentmods.dev/skills/ai-driven-dev/framework/release-video"><img src="https://agentmods.dev/badge/skills/ai-driven-dev/framework/release-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/ai-driven-dev/framework/release-video"><img src="https://agentmods.dev/badge/skills/ai-driven-dev/framework/release-video.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 | $0.00062 | $0.00376 |
| Opus 5.5 | $0.00025 | $0.00150 |
| Sonnet 5.5 | $0.00012 | $0.00075 |
| Haiku 4.5 | $0.00006 | $0.00038 |
Grade A, and why
release-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 11d 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.
What it actually says
Release video
flowchart LR
source([release]) --> plan --> render --> done([release-video.mp4])
render -->|"scene to fix"| plan
track([music]) --> compose-music --> render
Actions
Run the flow above. Read only the next action file.
| Action | Does |
|---|---|
| plan | cover every shipped feature with a scene, or a reason to skip it |
| render | turn the plan into the MP4 and check it on screen |
| compose-music | write a new track when the user asks for other music |
Transversal rules
- The plan lives in
aidd_docs/release-video/scenes.json; the check and the renderer are inassets/, their tests inscripts/__tests__/. - Show only what the product does; mark every invented figure as an example on screen; a demo of text alone, plainly a session, needs no mark.
- A viewer may watch with the sound off and never read the release notes: the picture carries the message, the sound only makes it lively.
- Never reuse the audio of a published video: it carries that video's own sounds, which then play at moments that mean nothing here.
- Keep product choices with the user, music included: it is judged by listening, which is the user's.
- Stop at the MP4: attaching it to a release and announcing it are the user's.
What ships with it
17 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.
- actions/01-plan.md 5.4 KB
- actions/02-render.md 2.4 KB
- actions/03-compose-music.md 1.1 KB
- assets/check-release-video.js 7.0 KB runs code
- assets/compose-music.py 7.2 KB runs code
- assets/fonts/inter-latin-700-normal.woff2 24 KB
- assets/fonts/inter-latin-800-normal.woff2 24 KB
- assets/fonts/jetbrains-mono-latin-500-normal.woff2 21 KB
- assets/fonts/jetbrains-mono-latin-700-normal.woff2 21 KB
- assets/logo.png 91 KB
- assets/music.mp3 529 KB
- assets/render-release-video.cjs 34 KB runs code
- assets/scenes-template.json 1.0 KB
- assets/youtube-metadata.js 3.2 KB runs code
- references/judge.md 1.3 KB
- references/scenes.md 2.7 KB
- references/sound.md 2.0 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.
- 11d ago First seen · 34 lines · 62 tokens per session scan A ff00b0d8986d
release-video is a skill published in the GitHub repository ai-driven-dev/framework (550 stars, last pushed yesterday), licensed MIT. It adds 62 tokens to every session and 376 once invoked, about $0.0002 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 2026-10-27.
release-video compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| release-videoai-driven-dev/framework | Skill | 550 | yesterday | MIT | A | 62 | Claude Code |
| podcast-generationbytedance/deer-flow | Skill | 85k | yesterday | MIT | A | 38 | Claude Code, Codex |
| skill-reviewerbytedance/deer-flow | Skill | 85k | yesterday | MIT | A | 38 | Claude Code |
| zeroclaw-docszeroclaw-labs/zeroclaw | Skill | 33k | yesterday | Apache-2.0 | A | 80 | Claude Code, Codex |
| knowledge-orgbojieli/ai-agent-book | Skill | 57k | 29d ago | Apache-2.0 | A | 96 | Claude Code, Codex |
| eval-dataset-designbojieli/ai-agent-book | Skill | 57k | 29d ago | Apache-2.0 | A | 138 | Claude Code, Codex |
| git-checkpointagentscope-ai/agentscope-java | Skill | 6.3k | yesterday | Apache-2.0 | A | 39 | Claude Code, Codex |