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 campaign-planninggit 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/campaign-planning)<a href="https://agentmods.dev/skills/mabzhang/opc-toolkit/campaign-planning"><img src="https://agentmods.dev/badge/skills/mabzhang/opc-toolkit/campaign-planning/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/campaign-planning"><img src="https://agentmods.dev/badge/skills/mabzhang/opc-toolkit/campaign-planning.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 | $0.00086 | $0.01197 |
| Opus 5 | $0.00043 | $0.00598 |
| Sonnet 5 | $0.00017 | $0.00239 |
| Haiku 4.5 | $0.00009 | $0.00120 |
Grade A, and why
campaign-planning 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
Campaign Planning — 整合 Campaign 策划
制定从洞察、策略、创意主题到渠道执行的整合 Campaign 方案。输出要能被客户理解,也能被创意、媒介、内容、达人和投放团队拆解执行。
输入要求
优先读取或建立:
- Brief 需求卡:目标、受众、产品、预算、时间、限制。
- 竞品与消费者洞察:市场空白、购买障碍、内容触发点。
- 品牌资产:品牌语气、视觉资产、历史案例、禁区。
- 执行边界:预算、人力、素材周期、法务/平台审核周期。
七层策略模型
| 层级 | 要回答的问题 | 产出 |
|---|---|---|
| 背景与洞察 | 为什么现在要做 | 行业/品类/消费者/竞品关键判断 |
| 核心挑战 | 这次真正要解决什么 | 一句话挑战 |
| 策略目标 | 业务、品牌、内容、渠道目标如何排序 | 分层目标与 KPI 方向 |
| 策略方向 | 用什么逻辑赢 | 核心主张、差异化、证据链 |
| 创意主题 | 用户记住什么 | 主题、创意领地、内容支柱 |
| 传播架构 | 在哪里、由谁、用什么内容说 | 阶段、渠道、KOL、媒介组合 |
| 效果与复盘 | 怎样判断成功 | KPI、优化机制、复盘节点 |
创意主题评估
主题必须通过以下检查:
- 清晰:10-14 字内能被复述,必要时配解释句。
- 有根:来自消费者洞察或品牌资产,不是空泛押韵。
- 可延展:能拆出短视频、图文、直播、话题、搜索内容。
- 有差异:避开竞品高饱和表达。
- 能转化:能连接产品证据、购买理由或行动入口。
- 合规:不碰行业禁语、绝对化承诺和平台风险表达。
传播节奏
| 阶段 | 目标 | 常见动作 | 关键指标 |
|---|---|---|---|
| 准备期 | 资料、素材、达人、投放账户就绪 | 策略定稿、脚本、选号、素材制作 | 准时交付率 |
| 预热期 | 建立期待和搜索入口 | KOL 种草、话题预埋、悬念内容 | 收藏、搜索、互动 |
| 爆发期 | 放大声量和转化 | 全渠道发布、直播、电商承接 | 曝光、CTR、CVR、GMV |
| 转化期 | 承接犹豫人群 | 测评、对比、优惠、私域召回 | 加购、转化成本 |
| 长尾期 | 沉淀口碑与复购 | UGC、复盘内容、二次传播 | 复购、口碑内容量 |
输出格式
# [品牌名] [主题/节点] Campaign 策划方案
## 1. 策略结论
- 这次 Campaign 的核心机会:
- 核心挑战:
- 推荐策略:
## 2. 背景与洞察
- 行业/品类:
- 竞品:
- 消费者:
- 品牌/产品:
## 3. 策略目标
| 目标类型 | 目标 | 衡量方式 | 优先级 |
|---|---|---|---|
## 4. 策略方向
- 核心主张:
- 差异化:
- 证据链:
## 5. 创意主题
- 主题:
- 主题解读:
- 创意领地:
- 内容支柱:
- 表达禁区:
## 6. 传播架构
| 阶段 | 时间 | 目标 | 渠道 | 内容动作 | KOL/媒介 | KPI |
|---|---|---|---|---|---|---|
## 7. 内容矩阵
| 内容支柱 | 目标人群 | 核心信息 | 内容形式 | 示例选题 | 承接动作 |
|---|---|---|---|---|---|
## 8. KOL 与媒介策略
- 达人层级与角色:
- 渠道预算角色:
- 投放优化杠杆:
## 9. 风险与 B 方案
| 风险 | 影响 | 触发信号 | 应对 |
|---|---|---|---|
规则
- 不写“全平台种草”这类空话;每个平台必须有角色和任务。
- 创意主题不能只好听,必须能拆成内容和转化动作。
- 预算未知时按资源优先级规划,不假造金额。
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.
- 9d ago First seen · 110 lines · 86 tokens per session scan A b1ddf6c7dd8e
campaign-planning is a skill published in the GitHub repository mabzhang/opc-toolkit (3 stars, last pushed 2mo ago), licensed MIT. It adds 86 tokens to every session and 1,197 once invoked, about $0.0004 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.
Other skills, from other repositories
brainstorming
A brainstorming workflow for turning an idea into an agreed design before implementation. It requires exploring the project, asking clarifying questions, comparing options, documenting the design, and getting user approval.
chinese-git-workflow
A reference for configuring Git with Chinese code-hosting services such as Gitee, Coding.net, GitLab China, and CNB, including SSH, HTTPS, credentials, CI, and repository mirroring.
chinese-commit-conventions
A Chinese-language guide to Conventional Commits, a format for writing consistent Git commit messages, plus related changelog, commit-checking, and commit-helper configuration.
chinese-documentation
A Chinese technical-documentation style guide covering spacing, punctuation, numbers, terminology, and links when Chinese and English appear together.
systematic-debugging
A step-by-step method for finding the underlying cause of technical problems before changing code. It covers reading errors, reproducing failures, checking recent changes, and tracing data across system components.
chinese-code-review
A Chinese-language code-review communication guide with templates and severity levels for review comments.