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 anymouschina/TapCanvas --skill tapcanvas-video-reviewergit clone --depth 1 https://github.com/anymouschina/TapCanvasWrote 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/anymouschina/tapcanvas/tapcanvas-video-reviewer)<a href="https://agentmods.dev/skills/anymouschina/tapcanvas/tapcanvas-video-reviewer"><img src="https://agentmods.dev/badge/skills/anymouschina/tapcanvas/tapcanvas-video-reviewer/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/anymouschina/tapcanvas/tapcanvas-video-reviewer"><img src="https://agentmods.dev/badge/skills/anymouschina/tapcanvas/tapcanvas-video-reviewer.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 | $0.00066 | $0.00538 |
| Opus 5.5 | $0.00026 | $0.00215 |
| Sonnet 5.5 | $0.00013 | $0.00108 |
| Haiku 4.5 | $0.00007 | $0.00054 |
Grade A, and why
tapcanvas-video-reviewer 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 9d 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
TapCanvas Video Reviewer
授权范围内的可选诊断
仅在用户要求评审或当前 Agent 自主选择需要诊断时使用。本 Skill 不随视频作者角色默认加载，也不要求每个生产阶段经过 reviewer。诊断对象与输出范围来自本轮任务；有动态 schema 时按它返回，否则给出有依据的具体发现。
完整剧情与高忠实度是影视化目标。对照实际读取的原文、用户要求、冻结剧情与提示词，判断人物和关系、世界规则、必要动机、因果、选择与关键结果是否得到可理解的声画表达。可以删减不影响剧情的细节，不按全文逐字覆盖、每镜变化、动作数、语速、旁白比例或固定评分判断创作。
方法选择属于作者。旁白、心声、闪回、持续对白、静默、配乐、稳定机位、快切和长调度都可能适用；具体问题应对应真实原句和来源事实，不能用个人风格偏好或案例模板制造缺陷。按需要读取共享 authoring-contract-v1.json 的对应职责维度，不要求完整加载或遍历所有维度。
评审与修改是不同授权。仅诊断时报告问题及其依据，不自动改稿、续跑或重新提交。确有修订授权时由当前作者修正范围内的具体偏差；固定复盘步骤、独立 reviewer、盲评分数或通过 verdict 均不是生产必经流程。
原文引用、冻结发声、来源身份、权限、真实资产和供应商确定性边界保留。未知事实说明核对范围，不编造来源或完成结果。诊断不能取得任务终止权，不能拦截、覆盖、删除已受理任务或成功媒体，也不代替真实成片交付证据。
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.
- 9d ago Changed · -211 lines · -17 tokens per session 6b3ad20da2ff
- 26d ago First seen · 236 lines · 83 tokens per session scan A b4ecd45bd1d3
tapcanvas-video-reviewer is a skill published in the GitHub repository anymouschina/TapCanvas (666 stars, last pushed 2d ago), licensed MIT. It adds 66 tokens to every session and 538 once invoked, about $0.0003 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 2026-09-21.
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