tapcanvas-continuity

tapcanvas-continuity is a skill for Claude Code, Codex from anymouschina/TapCanvas. It costs 42 tokens per session (621 once invoked), scanned A, original, MIT.

A continuity-checking protocol for extending storyboards and video shots from confirmed chapter, shot, and end-frame evidence.

In plain words
What is it for?
Use it to continue a chapter, connect a new shot to the previous one, diagnose conflicts, identify missing evidence, and produce an evidence-based next-step plan.
Why use it?
It prevents an agent from guessing where a scene continues or using informal history when required checkpoints or source material are missing.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to continue a chapter, connect a new shot to the previous one, diagnose conflicts, identify missing evidence, and produce an evidence-based next-step plan.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/anymouschina/tapcanvas/tapcanvas-continuity
Install

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.

Any agent
npx skills add anymouschina/TapCanvas --skill tapcanvas-continuity
Clone the repo
git clone --depth 1 https://github.com/anymouschina/TapCanvas

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for tapcanvas-continuity

README.md
[![agentmods](https://agentmods.dev/badge/skills/anymouschina/tapcanvas/tapcanvas-continuity/github.svg)](https://agentmods.dev/skills/anymouschina/tapcanvas/tapcanvas-continuity)
Your own site
<a href="https://agentmods.dev/skills/anymouschina/tapcanvas/tapcanvas-continuity"><img src="https://agentmods.dev/badge/skills/anymouschina/tapcanvas/tapcanvas-continuity/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.

agentmods 80×15 button for tapcanvas-continuity

Your own site · 80×15
<a href="https://agentmods.dev/skills/anymouschina/tapcanvas/tapcanvas-continuity"><img src="https://agentmods.dev/badge/skills/anymouschina/tapcanvas/tapcanvas-continuity.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 42 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 621 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00042 $0.00621
Opus 5 $0.00021 $0.00311
Sonnet 5 $0.00008 $0.00124
Haiku 4.5 $0.00004 $0.00062

Measured 10d ago against content hash 6536fdcb4d5d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

tapcanvas-continuity 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 10d 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.

apps/agents-cli/skills/tapcanvas-continuity/SKILL.md · 57 lines

What it actually says

TapCanvas Continuity

何时使用

  • 用户要求续写当前章节分镜
  • 用户要求承接上一镜头、上一组分镜或尾帧
  • 主代理需要核对 storyboard continuity 与章节边界

输入证据

  • 当前章节正文
  • storyboardChunks
  • tailFrameUrl
  • continuity / source bundle / node context 工具结果
  • continuationAnchor 或 selectedReference

执行原则

  • 续写边界必须来自显式 checkpoint,不得靠历史文本猜
  • tailFrameUrl、缺 chunk 边界、缺章节正文时直接失败
  • 连续性判断基于实时工具结果,不基于 docs/assets/ai-metadata
  • 对小说单视频或章节续写请求,若当前还没有显式 chunk/shot checkpoint,应先继续读取书籍索引、章节正文、source bundle、node context 与 continuity 证据缩小范围,而不是立刻退回让用户补全所有锚点
  • 如果只是诊断连续性,清楚列出冲突点与缺失证据
  • 本 skill 是连续性协议层:负责规定必须读取哪些状态、哪些字段是 source of truth、何时必须失败
  • 若需要拆子代理,子代理只做局部任务,不得形成第二套连续性工作流

子代理边界

  • 主代理 / 主 skill 负责:
    • 读取 storyboardChunkstailFrameUrl、章节正文、当前节点上下文
    • 判断这次属于续写、重做、连续性修复还是新起场景
    • 决定是否调用子代理
    • 汇总结果并写回统一连续性结论
  • 子代理只允许承担局部职责,例如:
    • 提取当前章节/当前组的剧情事实
    • 审查上一组末状态与当前目标是否冲突
    • 基于已确认事实拆镜头或整理提示词 brief
  • 子代理不得:
    • 自己决定 source of truth
    • 自己绕过 checkpoint 继续生成
    • 自己写出另一套独立 continuity 规则
    • 用 history/recentShots 取代显式 chunk checkpoint

输出契约

  • 续写时,明确本轮承接的章节、chunk、尾帧与镜头锚点
  • 若发现冲突,列出:
    • 冲突点
    • 影响范围
    • 需要补读的实时数据
  • 若可以继续,给出基于证据的续写建议或下一步计划
Changes

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.

  1. 10d ago First seen · 57 lines · 42 tokens per session scan A 6536fdcb4d5d

Subscribe to this mod's changes

tapcanvas-continuity is a skill published in the GitHub repository anymouschina/TapCanvas (602 stars, last pushed yesterday), licensed MIT. It adds 42 tokens to every session and 621 once invoked, about $0.0002 per session on Opus 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 2026-08-30.

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