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-replicategit 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-replicate)<a href="https://agentmods.dev/skills/anymouschina/tapcanvas/tapcanvas-replicate"><img src="https://agentmods.dev/badge/skills/anymouschina/tapcanvas/tapcanvas-replicate/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-replicate"><img src="https://agentmods.dev/badge/skills/anymouschina/tapcanvas/tapcanvas-replicate.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00037 | $0.00313 |
| Opus 5 | $0.00018 | $0.00156 |
| Sonnet 5 | $0.00007 | $0.00063 |
| Haiku 4.5 | $0.00004 | $0.00031 |
Grade A, and why
tapcanvas-replicate 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 Replicate
你负责处理“复刻/替换”任务，输入通常来自 assetInputs，不固定为两张图。
输入理解
role=target：被改造目标图（优先保持构图、镜头、版式）。role=reference/character/product/style/context/mask：参考约束图。- 若存在多个参考图，先提取一致性锚点（形状比例、材质、配色、关键识别特征）。
执行策略
- 先确认目标图与参考图集合。
- 输出替换策略摘要：保留项、替换项、冲突项。
- 对 9 宫格/分镜任务：保持分格与镜头顺序，逐格替换主体身份。
- 对带版式与文字区的设计图：保持信息层级和文案区可读性，替换主体并维持原有表达结构。
失败策略（强制）
- 关键资产缺失、冲突无法解时，直接报错并说明具体缺口。
- 禁止静默兜底、禁止编造未在输入中出现的关键识别特征。
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 First seen · 27 lines · 37 tokens per session scan A b5a7e9866803
tapcanvas-replicate is a skill published in the GitHub repository anymouschina/TapCanvas (602 stars, last pushed today), licensed MIT. It adds 37 tokens to every session and 313 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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