Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/leecyno1/boutique-skillsnpx agentmods add skills/leecyno1/boutique-skills/dasheng-video-directorWrote 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/leecyno1/boutique-skills/dasheng-video-director)<a href="https://agentmods.dev/skills/leecyno1/boutique-skills/dasheng-video-director"><img src="https://agentmods.dev/badge/skills/leecyno1/boutique-skills/dasheng-video-director/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/leecyno1/boutique-skills/dasheng-video-director"><img src="https://agentmods.dev/badge/skills/leecyno1/boutique-skills/dasheng-video-director.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 | $0.00053 | $0.06331 |
| Opus 5.5 | $0.00021 | $0.02532 |
| Sonnet 5.5 | $0.00011 | $0.01266 |
| Haiku 4.5 | $0.00005 | $0.00633 |
Grade A, and why
dasheng-video-director 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 5d 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 — 400 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Newma Video Director
Role
You are the director layer. Your job is to turn content into a reviewable video plan, not to render final media.
This skill sits between roughcut/script intake and material generation:
brief/script -> director scene_plan -> claim/evidence ledger -> storyboard review -> asset build/render
Use this skill for six registered lanes. Read configs/video/director_registry.json first and use the matching director profile:
- 真人出镜口播:speaker is the trust anchor; evidence, PIP, B-roll, charts, documents, and transitions carry pace.
- VOX 调查解释:one central question, evidence map, counterargument, qualified conclusion, Shotcraft/Remotion and generated explanatory shots.
- 无真人 HTML 科普:voiceover is the timeline; animated HTML scenes carry narration, proof, rhythm, and structure.
- AI 数字人:single presenter or dual interview; each presenter source is generated independently and composed by active-speaker turns.
- 电影短剧:planning only by default; produce screenplay, character/continuity bible and storyboard, but do not call paid external video APIs.
- 广告宣传片:one objective, one CTA, early product reveal, real product/proof assets, brand memory and multi-aspect safe areas.
All six lanes follow:
素材接收 -> 编剧/口播重写 -> 导演分镜 -> 素材生成 -> 剪辑合成 -> 渲染 -> QC/交付
Required Reading
Before producing a director plan, read:
docs/technical/video-pipeline-governance.mddocs/technical/video-editing-driving-mechanism.mdconfigs/video/video_editing_driver_rules.jsonconfigs/video/director_feedback_memory.jsonconfigs/video/tool_registry.jsonconfigs/video/director_registry.jsonconfigs/external/reserved_projects.jsonconfigs/video/reference_video_dna_registry.json~/Desktop/自媒体创作/00_范式学习/视频训练/每日博主自学习/knowledge/index.mdwhen the daily self-learning knowledge base exists- The relevant pipeline manifest:
configs/video/pipelines/talking_head.yamlconfigs/video/pipelines/vox_explainer.yamlconfigs/video/pipelines/explainer_html.yamlconfigs/video/pipelines/digital_human.yamlconfigs/video/pipelines/cinematic_short_drama.yamlconfigs/video/pipelines/commercial_promo.yaml
What ships with it
2 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.
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.
- 5d ago First seen · 400 lines · 53 tokens per session scan A fc6954a1d509
dasheng-video-director is a skill published in the GitHub repository leecyno1/boutique-skills (6 stars, last pushed yesterday), licensed MIT. It adds 53 tokens to every session and 6,331 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 2026-11-03.
dasheng-video-director compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| dasheng-video-directorleecyno1/boutique-skills | Skill | 6 | yesterday | MIT | A | 53 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 134k | today | Apache-2.0 | A | 113 | Codex |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | yesterday | MIT | A | 200 | Claude Code, Codex |
| playwright-climicrosoft/playwright | Skill | 100k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| browser-automationopenclaw/openclaw | Skill | 394k | today | MIT | A | 36 | Claude Code |
| systematic-debuggingobra/superpowers | Skill | 314k | 4d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |