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 mabzhang/opc-toolkit --skill social-media-plangit 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/social-media-plan)<a href="https://agentmods.dev/skills/mabzhang/opc-toolkit/social-media-plan"><img src="https://agentmods.dev/badge/skills/mabzhang/opc-toolkit/social-media-plan/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/mabzhang/opc-toolkit/social-media-plan"><img src="https://agentmods.dev/badge/skills/mabzhang/opc-toolkit/social-media-plan.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 | $0.00095 | $0.01088 |
| Opus 5 | $0.00048 | $0.00544 |
| Sonnet 5 | $0.00019 | $0.00218 |
| Haiku 4.5 | $0.00010 | $0.00109 |
Grade A, and why
social-media-plan 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.
What it actually says
Social Media Plan — 社交媒体内容方案
制定跨平台社交内容策略，让每个平台承担清楚角色，而不是把同一条内容复制到所有平台。
规划原则
- 先定义平台角色，再写选题。
- 每条内容都要服务漏斗环节：认知、兴趣、搜索、信任、转化、复购。
- 平台语言必须差异化，但核心策略和卖点保持一致。
- 内容日历要考虑制作难度、素材复用、审核周期和发布节奏。
- 当涉及平台算法、规格或广告位规则时，需验证当前规则。
平台角色速查
| 平台 | 用户心态 | 适合任务 | 内容重点 | 常见指标 |
|---|---|---|---|---|
| 抖音 | 刷到即看、即时转化 | 爆发、直播、短链路成交 | 前 3 秒、场景、强钩子 | 完播、CTR、CVR、GMV |
| 小红书 | 搜索种草、理性比较 | 种草、口碑、搜索承接 | 标题、封面、真实体验、关键词 | 收藏、搜索、评论、站外转化 |
| 微信公众号 | 深度阅读、信任关系 | 品牌背书、私域沉淀 | 观点、故事、价值解释 | 阅读、转发、线索 |
| 视频号 | 熟人/半熟人扩散 | 私域联动、直播承接 | 人设、信任、转发 | 观看、转发、直播预约 |
| 微博 | 热点讨论、公共情绪 | 话题扩散、事件营销 | 话题、互动、明星/IP | 话题阅读、互动 |
| B站 | 深度内容、圈层文化 | 专业解释、测评、口碑 | 信息密度、真实感、弹幕互动 | 完播、收藏、投币 |
内容支柱设计
| 支柱 | 作用 | 常见形式 |
|---|---|---|
| 问题教育 | 建立需求 | 科普、误区、场景痛点 |
| 证据证明 | 建立信任 | 测评、对比、实验、专家/用户证言 |
| 场景代入 | 促进想象 | 日常 Vlog、前后对比、使用教程 |
| 社交认同 | 增强欲望 | UGC、达人体验、榜单、口碑合集 |
| 转化承接 | 推动下单 | 福利、组合、直播预告、购买指南 |
| 品牌资产 | 长期认知 | 品牌故事、价值观、幕后内容 |
输出格式
# [品牌名] 社交媒体内容方案 | [周期]
## 1. 内容策略总方向
- 核心目标：
- 核心人群：
- 内容主张：
- 平台分工：
## 2. 平台内容规划
| 平台 | 角色 | 人群 | 内容支柱 | 发布频率 | 核心指标 | 注意事项 |
|---|---|---|---|---|---|---|
## 3. 内容矩阵
| 内容支柱 | 选题方向 | 平台 | 形式 | 标题/钩子 | 承接动作 |
|---|---|---|---|---|---|
## 4. 4 周内容日历
| 周次 | 主题 | 抖音 | 小红书 | 微信/视频号 | 微博/B站 | 关键素材 |
|---|---|---|---|---|---|---|
## 5. 爆款内容框架
### 小红书
- 标题：
- 封面：
- 正文结构：
- 标签：
### 抖音
- 前 3 秒：
- 主体：
- 转化承接：
- 画面/口播：
## 6. 内容生产任务单
| 任务 | 输入 | 输出 | 负责人角色 | 验收标准 | 截止时间 |
|---|---|---|---|---|---|
规则
- 每个选题必须有具体标题、钩子或画面建议。
- 不用“高级感”“年轻化”这类空词替代平台策略。
- 内容 KPI 要匹配平台角色；种草内容不只看曝光，转化内容不只看点赞。
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.
- 10d ago First seen · 91 lines · 95 tokens per session scan A d7dadfd1c412
social-media-plan is a skill published in the GitHub repository mabzhang/opc-toolkit (3 stars, last pushed 2mo ago), licensed MIT. It adds 95 tokens to every session and 1,088 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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