漫剧老李 is an AI-assisted audiovisual production skill that guides the process from script development through storyboarding and prompts for video models. It is intended for AI short dramas, animated dramas, advertisements, previs, and other video projects where visual consistency across shots matters. The catalogue skill supplies the workflow and rules that coding agents can use to carry out this production process.
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 lixiaoxiao9888-create/manju-laoli-skill --skill sd-qc-enginegit clone --depth 1 https://github.com/lixiaoxiao9888-create/manju-laoli-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/lixiaoxiao9888-create/manju-laoli-skill/sd-qc-engine)<a href="https://agentmods.dev/skills/lixiaoxiao9888-create/manju-laoli-skill/sd-qc-engine"><img src="https://agentmods.dev/badge/skills/lixiaoxiao9888-create/manju-laoli-skill/sd-qc-engine/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/lixiaoxiao9888-create/manju-laoli-skill/sd-qc-engine"><img src="https://agentmods.dev/badge/skills/lixiaoxiao9888-create/manju-laoli-skill/sd-qc-engine.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 | $0.00271 | $0.03271 |
| Opus 5.5 | $0.00108 | $0.01308 |
| Sonnet 5.5 | $0.00054 | $0.00654 |
| Haiku 4.5 | $0.00027 | $0.00327 |
Grade A, and why
sd-qc-engine 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 3d 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 — 106 lines — stays where its author put it; the contents beside it link to each section on GitHub.
sd-qc-engine · 成片质检与连续性管理专精引擎
一、角色定位
本引擎是漫剧老李 V7.4.26 套装的执行层质检专精，管四件事：
- 连续性台账——跨镜/跨集的人物账（站位/朝向/服装/道具持拿）、场景账、时间轴账，防「上一段画面里的人这一段凭空消失」式穿帮。
- 剪辑转场与 Seedance 分段门——镜头顺序、精确时长、许可切点、转场方式；Seedance 2.0 全能参考单段 ≤15 秒硬门；段缝安全检查。
- 声音设计——对白/画外音/环境声/拟音/音乐/静默的分层模板，逐段复核台词时长、换气、停顿与反应落点。
- 出稿机检——指导跑总控
validate_prompt.py（C1C26＋增量主码 C27ad / C28ac / C29 / C30ad /--model h3→ H1~H12），FAIL 清零才交付。
不做什么：不重做角色/服装/场景/道具设计，不修剧本，不擅自增加或取消切镜，不改台词，不替责任岗位返修——发现冲突只出报告、路由回责任阶段。生产包结构校验的清单化承接见 machine-check-manual.md §七（原 V3.9 validate_production_pack 脚本未随包迁移）。
二、与总控的关系（权威边界，必读）
| 事项 | 唯一权威 | 本引擎角色 |
|---|---|---|
| P0~P2 三级门禁（含画幅一致性、资产一致性、改动复验三步闭环） | 总控 short-drama-director/references/quality-gate-review.md |
执行层细化：按 P0~P2 口径出具问题清单，不另立门禁标准 |
| 锁系统（A·模型版本 / B·画幅 / C·交付形态 / D·段缝衔接） | 总控 SKILL.md 〇节 | 按总控锁系统执行，不重复定义 |
| 投喂格式（七段式 / H3 六段式） | 总控 short-drama-director/references/model-adapters.md、short-drama-director/references/h3-adapter.md |
模板中引用，不另立格式 |
出稿机检脚本 validate_prompt.py（C1 |
总控 scripts/validate_prompt.py |
本引擎 machine-check-manual.md 是它的使用手册；脚本本体不复制、不改动 |
包自检 check_package.py |
总控 scripts/check_package.py |
使用说明见本引擎手册 |
| 术语口径（C1 |
总控 | 完全一致，冲突处以总控为准 |
三、触发与路由
触发词：审查、质检、连续性检查、看片、拉片、台词诊断后复核、剪辑转场、分段检查、声音设计、机检。
何时进本引擎（总控管线中的位置）：
总控锁系统 → sd-script-engine（编剧）→ sd-asset-engine（资产）
→ sd-storyboard-engine / sd-combat-engine（分镜）
→ 总控投喂封装（七段式/H3，权威在总控 short-drama-director/references/model-adapters.md）
→ ★ sd-qc-engine（连续性台账 → 剪辑转场分段门 → 声音设计 → 出稿机检）
→ 总控看板输出
按请求内容路由到对应工作流：
| 请求内容 | 工作流 | 规则库 |
|---|---|---|
| 跨镜/跨集一致性、站位/道具/服装核对 | 连续性台账 | references/continuity-ledger.md |
| 剪辑节奏、切点、转场、Seedance 15 秒分段 | 剪辑转场分段门 | references/editing-transition-gate.md |
| 对白/音效/BGM/环境声设计、台词时长复核 | 声音设计 | references/sound-design-template.md |
| 配 BGM、找音乐、AI 音乐提示词、版权检查 | 后期音乐声音 | references/post-music-sound-design.md |
| 出稿前机检、FAIL 清零、门禁口径查询 | 出稿机检 | references/machine-check-manual.md |
| 规则定级与冲突裁决口径 | 验证治理 | references/rule-taxonomy-and-verdict.md |
| 各阶段交付验收标准与校验方式 | 阶段治理 | references/stage-acceptance-table.md |
What ships with it
8 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.
- references/continuity-ledger.md 8.1 KB
- references/editing-transition-gate.md 12 KB
- references/machine-check-manual.md 74 KB
- references/post-music-sound-design.md 13 KB
- references/rule-taxonomy-and-verdict.md 6.4 KB
- references/sound-design-template.md 6.6 KB
- references/stage-acceptance-table.md 4.8 KB
- scripts/validate_seedance_segment_map.py 12 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.
- 3d ago Changed 6bc51555ecd0
- 4d ago Changed 685077d7593c
- 9d ago First seen · 106 lines · 271 tokens per session scan A 6bdded89069a
sd-qc-engine is a skill published in the GitHub repository lixiaoxiao9888-create/manju-laoli-skill (1,658 stars, last pushed 4d ago), licensed MIT. It adds 271 tokens to every session and 3,271 once invoked, about $0.0011 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 2026-10-16.
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