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 ZJU-REAL/Easel --skill skill-campaign-plannergit clone --depth 1 https://github.com/ZJU-REAL/EaselWrote 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/zju-real/easel/skill-campaign-planner)<a href="https://agentmods.dev/skills/zju-real/easel/skill-campaign-planner"><img src="https://agentmods.dev/badge/skills/zju-real/easel/skill-campaign-planner/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/zju-real/easel/skill-campaign-planner"><img src="https://agentmods.dev/badge/skills/zju-real/easel/skill-campaign-planner.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 | $0.00135 | $0.01159 |
| Opus 5 | $0.00068 | $0.00580 |
| Sonnet 5 | $0.00027 | $0.00232 |
| Haiku 4.5 | $0.00014 | $0.00116 |
Grade A, and why
skill-campaign-planner 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 11d 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
活动 / 营销策划（campaign-planner）
产出一份可落地的营销活动方案，覆盖目标→节奏→内容矩阵→玩法→资源→风险→复盘指标。 领域方法在
references/campaign-frameworks.md，本文件只讲流程。定义规则与模型，不套具体案例。
单条选题蹭热点见 skill-trend-rider；系列内容规划见 skill-content-strategy； 商单/联名见 skill-collab-proposal；本 SKILL 做一次营销活动的整体策划。
输入
| 字段 | 必填 | 说明 |
|---|---|---|
| 活动类型 | 是 | 节日营销 / 电商大促 / 新品发布 / 活动造势 / 周年庆等 |
| 目标 | 推荐 | 涨粉 / 转化 / 声量 / 拉新 / 清库存（决定节奏与玩法侧重） |
| 时间 | 推荐 | 活动日期 / 大促节点（决定预热-爆发-返场排期） |
| 资源 | 可选 | 预算、可用平台、是否有 KOL/达人、产品/优惠力度 |
信息不全时先补齐关键项（类型/目标/时间），再出方案。
执行步骤
- 判定活动类型与核心目标，读
references/campaign-frameworks.md「一、目标→打法映射」确定主打法 （声量型/转化型/拉新型策略侧重不同）。 - 搭营销节奏：按「二、营销节奏模型」拆成 预热期 / 爆发期 / 返场期（大促再加 蓄水/尾款 等节点）， 每阶段定目标、内容重点、发布密度。
- 排内容矩阵：按「三、内容矩阵」把 各阶段 × 各平台 × 内容形式 排成表（哪个平台承担种草/转化/造势）。 跨平台适配交给 skill-cross-platform-publish 落地。
- 设计互动玩法：从「四、玩法库」选契合目标的玩法（抽奖/挑战赛/晒单/预约/拼团/联名等），说明机制与目的。
- 资源分配：按「五、KOL 分层与预算」给达人分层建议（头部造势/腰部种草/素人铺量）与预算大致比例。
- 风险与合规：按「六、风险与合规红线」列此类活动的常见坑（虚假宣传、诱导、平台规则、舆情）。
- 效果指标：按「七、效果指标」给分阶段可量化 KPI 与复盘口径（配合 skill-social-performance-review）。
- 输出结构化方案：目标 → 节奏排期表 → 内容矩阵表 → 玩法 → 资源/预算 → 风险 → KPI。
Profile 感知
- 有 Profile：目标/平台/调性贴合
identity.md+platforms.md；玩法与文案语气对齐style.md； 合规遵守preferences.md底线；预算/达人建议匹配账号体量。 - 无 Profile：按活动类型给通用方案，标注需用户补充预算/平台/产品信息以精化。
规则
- 方案必须可落地：给具体节奏排期、平台分工、玩法机制，不写空泛口号。
- 节奏是核心——预热蓄水、爆发集中、返场收尾，别把火力平摊。
- 玩法服务目标：转化型重优惠/紧迫感，声量型重话题/参与感，别乱堆玩法。
- 明确风险与合规红线（尤其大促的价格/宣传合规），不建议违规诱导玩法。
- 给可量化 KPI 与复盘口径，方案闭环到效果评估。
参考来源
沉淀自内容营销活动通用方法论（营销节奏 预热-爆发-返场、AISAS/AARRR 视角、大促蓄水-尾款节点、 达人分层投放），本地化到国内平台（小红书种草、抖音爆发、社群转化、公众号沉淀）。框架化为可复用 模型，不绑定具体品牌案例。
What ships with it
2 files 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.
- 11d ago First seen · 63 lines · 135 tokens per session scan A f089e69bc70f
skill-campaign-planner is a skill published in the GitHub repository ZJU-REAL/Easel (794 stars, last pushed today), licensed Apache-2.0. It adds 135 tokens to every session and 1,159 once invoked, about $0.0007 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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