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 agentmods add skills/mabzhang/opc-toolkit/platform-specsnpx skills add mabzhang/opc-toolkit --skill platform-specsgit clone --depth 1 https://github.com/mabzhang/opc-toolkitWrote 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/mabzhang/opc-toolkit/platform-specs)<a href="https://agentmods.dev/skills/mabzhang/opc-toolkit/platform-specs"><img src="https://agentmods.dev/badge/skills/mabzhang/opc-toolkit/platform-specs.svg" alt="Measured on agentmods" 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 | $0.00102 | $0.01006 |
| Opus 5 | $0.00051 | $0.00503 |
| Sonnet 5 | $0.00020 | $0.00201 |
| Haiku 4.5 | $0.00010 | $0.00101 |
Grade A, and why
platform-specs 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 5d 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
Platform Specs — 平台素材规格
输出平台物料尺寸、格式、安全区和交付要求。平台规则经常变化；给生产团队使用前要优先核验官方或平台帮助中心信息。
使用原则
- 如果用户要实际投放或交付生产，必须确认平台、广告位、素材类型和发布日期。
- 涉及最新规格、审核规则、广告位限制、文件大小、时长、禁投规则时，联网检索官方来源。
- 如果无法确认官方来源，标注“待平台确认”，不要把旧规格当成确定事实。
- 输出不仅写尺寸，也写安全区、裁切风险、首帧/封面、字幕、Logo、CTA 和可交付文件命名建议。
常用规格速查
以下为常见起点，交付前仍需按平台和广告位验证：
| 平台 | 常见物料 | 常见规格 | 备注 |
|---|---|---|---|
| 抖音 | 竖版短视频 | 1080x1920, 9:16, MP4/MOV | 注意上下 UI 安全区、首 3 秒信息 |
| 抖音 | 横版视频 | 1920x1080, 16:9 | 适合部分信息流/横版场景 |
| 小红书 | 图文封面/内页 | 1080x1440, 3:4 | 封面文字少而清晰，注意关键词 |
| 小红书 | 竖版视频 | 1080x1920, 9:16 | 封面影响点击 |
| 微信公众号 | 头图/封面 | 常用 900x383 等比例 | 重点元素居中，避免裁切 |
| 朋友圈 | 图片/视频 | 1:1、3:4、9:16 常见 | 需确认广告位和投放后台要求 |
| 视频号 | 竖版视频 | 1080x1920, 9:16 | 关注标题、封面、直播承接 |
| 微博 | 配图/视频 | 竖图、方图、横视频均可 | 话题页和信息流展示裁切不同 |
| B站 | 视频/封面 | 1920x1080, 16:9 | 封面信息密度和标题配合 |
| 淘宝/天猫 | 主图/详情页 | 主图常用 800x800，详情页常用 750 宽 | 以店铺后台要求为准 |
| 京东 | 主图/详情页 | 主图常用 800x800，详情页按后台 | 以商家后台和类目规则为准 |
输出格式
# 平台物料规格清单
## 1. 适用范围
- 平台：
- 广告位/发布位置：
- 素材类型：
- 计划上线日期：
- 规格核验日期：
## 2. 规格表
| 平台 | 广告位 | 素材 | 尺寸/比例 | 时长/大小 | 格式 | 安全区 | 备注 |
|---|---|---|---|---|---|---|---|
## 3. 生产注意事项
- 视觉裁切：
- 字幕/Logo/CTA：
- 首帧/封面：
- 文件命名：
- 审核风险：
## 4. 待确认
| 问题 | 影响 | 建议确认对象 |
|---|---|---|
## 5. 来源
| 来源 | 链接 | 日期 | 支持内容 |
|---|---|---|---|
规则
- 不同广告位不要混用规格；开屏、信息流、搜索、直播间、店铺素材可能不同。
- 安全区优先保守处理，避免按钮、字幕、价格和 Logo 被平台 UI 遮挡。
- 若素材将用于广告投放，提醒同步核对平台审核规则和行业资质要求。
What ships with it
1 file 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.
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.
- 5d ago First seen · 77 lines · 102 tokens per session scan A 11e94d1fd864
platform-specs is a skill published in the GitHub repository mabzhang/opc-toolkit (3 stars, last pushed 2mo ago), licensed MIT. It adds 102 tokens to every session and 1,006 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 2026-08-31.
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brainstorming
在任何创造性工作之前必须使用此技能——创建功能、构建组件、添加功能或修改行为。在实现之前先探索用户意图、需求和设计。.
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中文 review 沟通参考——话术模板、分级标注（必须修复/建议修改/仅供参考）、国内团队常见反模式应对。仅在用户显式 /chinese-code-review 时调用，不要根据上下文自动触发。.
chinese-commit-conventions
中文 commit 与 changelog 配置参考——Conventional Commits 中文适配、commitlint/husky/commitizen 中文模板、conventional-changelog 中文配置。仅在用户显式 /chinese-commit-conventions 时调用，不要根据上下文自动触发。.
chinese-documentation
中文文档排版参考——中英文空格、全半角标点、术语保留、链接格式、中文文案排版指北约定。仅在用户显式 /chinese-documentation 时调用，不要根据上下文自动触发。.
systematic-debugging
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