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 jianshuo/claude-skills --skill wjs-voicedrop-choosing-covergit clone --depth 1 https://github.com/jianshuo/claude-skillsWrote 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/jianshuo/claude-skills/wjs-voicedrop-choosing-cover)<a href="https://agentmods.dev/skills/jianshuo/claude-skills/wjs-voicedrop-choosing-cover"><img src="https://agentmods.dev/badge/skills/jianshuo/claude-skills/wjs-voicedrop-choosing-cover/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/jianshuo/claude-skills/wjs-voicedrop-choosing-cover"><img src="https://agentmods.dev/badge/skills/jianshuo/claude-skills/wjs-voicedrop-choosing-cover.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 | $0.00097 | $0.01049 |
| Opus 5 | $0.00048 | $0.00524 |
| Sonnet 5 | $0.00019 | $0.00210 |
| Haiku 4.5 | $0.00010 | $0.00105 |
Grade A, and why
wjs-voicedrop-choosing-cover 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 12d 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
wjs-voicedrop-choosing-cover
给一篇 VoiceDrop 文章做两个决定：配不配题图，以及用哪种风格的 prompt 生成。核心原则：真素材优先于 AI 画；风格跟着文章气质走，绝不一招鲜。
输入
三种都接受：VoiceDrop 文章（MCP read_article，按标题或 ID）/ 本地 markdown / 直接粘贴的正文。[[photo:KEY]] 是文中已插入的用户实拍照片。
Step 1：配不配（先于一切风格讨论）
| 情形 | 判断 |
|---|---|
| 文中已有实拍照片且与主题相关 | 不配。首图即封面（真照片 > AI 画，AI 封面会把实拍正文的诚恳感冲掉）。指出用哪张 [[photo:KEY]]。 |
| 无照片，会发布 / 分享 | 配 |
| 无照片，极短碎碎念（<100 字） | 先问「这篇要单独发吗」；发才配 |
| 实拍照片存在但与主题无关（截图、票据） | 视同无照片，配 |
Step 2：风格选择（必须过这张表，禁止默认某一种）
| 文章气质 | 风格 | 基调 |
|---|---|---|
| 思辨 / 观点 / 方法论 | 极简概念图 | 一个具体物件当隐喻，大留白 |
| 生活随笔 / 自然 / 散步 | 水彩淡彩 | 轻、透、浅色底 |
| 怀旧 / 回忆 / 家人 | 胶片 / 油画 | 暖调、颗粒感 |
| 科技 / 工具 / AI / 教程 | 编辑部封面 | 具体物件（卡片、面板、画布），忌泛泛机器人 |
| 幽默 / 自嘲 | 卡通轻插画 | 松弛，不闹腾 |
| 哀伤 / 悼念 / 疾病 | 素描或极淡水彩 | 低饱和、克制，不画人脸，绝不卡通 / 广告风 |
拿不准气质时读全文再判，不按标题猜。
Step 3：拼 prompt（硬规格）
- 比例 2.45:1，尺寸 1568x640（VoiceDrop 题图规格；本地 wjs-publishing-wechat 线是 900×383，别抄混）
- 题图主标题从文章标题提炼 6–10 个汉字（极简概念图可用 1–4 字大字），必须清晰可读
- 构图：大标题在上，主视觉在下，文字左右撑满
- 配色随主题变，默认浅色底；同一批文章不许撞色撞构图
- 避免清单（写进 prompt）：乱码文字、过多小字、真实品牌 logo、纯氛围壁纸、厚重蓝紫渐变、廉价营销海报感
Step 4：出图（用户要求时才做）
gpt-image-2-skill 走 --provider codex，--size 1568x640；或在 VoiceDrop 内把 prompt 交给 new_photo。
输出契约（每篇固定这四行）
判断：配 / 不配 —— 一句理由
风格：<Step 2 表里的风格名>
Prompt：<完整可直接用，含 2.45:1 / 1568x640 与避免清单>
（不配时第三行改为：封面 = [[photo:KEY]]，横向裁 2.45:1 的建议裁法）
Red Flags
- 连续两篇输出同一风格 → 回 Step 2 重判
- 文中有实拍还在写 AI prompt → 回 Step 1
- prompt 里出现 900×383 或 2.35:1 → 规格抄错线了
- 哀伤文出现卡通 / 亮色 → 重来
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.
- 12d ago First seen · 63 lines · 97 tokens per session scan A cf4f3764c7f9
wjs-voicedrop-choosing-cover is a skill published in the GitHub repository jianshuo/claude-skills (129 stars, last pushed 22d ago), licensed MIT. It adds 97 tokens to every session and 1,049 once invoked, about $0.0005 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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