Borrowing it
Nothing to install: this file belongs to Peiiii/nextclaw. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Peiiii/nextclaw/master/.agents/skills/nextclaw-product-blog-storytelling/SKILL.mdgit clone --depth 1 https://github.com/Peiiii/nextclawWrote 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/peiiii/nextclaw/nextclaw-product-blog-storytelling)<a href="https://agentmods.dev/skills/peiiii/nextclaw/nextclaw-product-blog-storytelling"><img src="https://agentmods.dev/badge/skills/peiiii/nextclaw/nextclaw-product-blog-storytelling/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/peiiii/nextclaw/nextclaw-product-blog-storytelling"><img src="https://agentmods.dev/badge/skills/peiiii/nextclaw/nextclaw-product-blog-storytelling.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 | $0.00059 | $0.01966 |
| Opus 5.5 | $0.00024 | $0.00786 |
| Sonnet 5.5 | $0.00012 | $0.00393 |
| Haiku 4.5 | $0.00006 | $0.00197 |
Grade A, and why
nextclaw-product-blog-storytelling 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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 87 lines — stays where its author put it; the contents beside it link to each section on GitHub.
产品博客叙事
候选与提前成稿
博客不必等到版本发布后才开始。用户明确要求写作,或 Delivery 判断一个已验证结果具备独立用户任务、可核查证据和公开叙事价值时,进入本 skill;changeset 本身不自动等于博客候选。
按事实成熟度选择一个状态:
- 证据或产品边界尚未稳定:只报告候选主题和缺失证据,不创建正文;
- 实现、Validation 与 Review 已稳定:可提前写入
docs/blog-drafts/YYYY-MM-DD-<topic>.blog-draft.md; - 获得正式发布授权:按实际发布日期迁入
apps/docs/zh/blog与apps/docs/en/blog,并同步 index、sidebar 和适用链接。
内部草稿不参与站点构建,也不代表文章已发布。草稿正文只保留未来读者需要看到的内容;候选判断、私有路径、测试会话 ID、发布步骤和内部取舍留在设计、迭代记录或协作回复中。实现或测量环境在成稿后变化时,发布前重新核对全部事实与指标。
需要随产品 changeset 一起发布时,草稿 frontmatter 写入 releaseBlogTarget: next-stable、releaseBlogChangeset 和 releaseBlogState: draft,changeset 使用 <!-- release-note-blog: docs/blog-drafts/<file>.blog-draft.md --> 绑定。发布准备时生成中英文正式文章、更新 index/sidebar,并把草稿状态改为 ready、补充 releaseBlogZhPath 与 releaseBlogEnPath。NPM 达到 NPM_READY 后,产品发布闭环会阻断仍处于 draft 或缺少正式入口的绑定文章;线上验证完成后再删除内部草稿。
发布关联的功能、优化和结果博客默认采用短篇结果营销稿:标题先写产品、成果和最强可核查数字,首屏直接回答“做成了什么、效果如何”;实现原理只保留理解结果所需的最少内容。只有用户明确要技术复盘、原理说明或产品判断时,才展开为科普或长文。标题可以强,但不能超出测量范围或把开发版本写成已发布。
写作流程
宣传内容的有效吸引门
官网、广告式短文与品牌故事先判断题材是否值得表达,再润色。目标是在有限注意力内,让尽可能多的潜在用户理解与自己有关的真实价值,产生进一步了解或尝试的意愿;不是平均好感、信息量或无关点击。此门不强加给技术说明与状态报告。
- 先冻结一句“哪些潜在用户共同在意什么→产品如何回应→用什么可核查细节证明→希望他下一步做什么”。群体不同先找共同处境,不堆场景列表,也不把单一故事当成整个产品。
- 场景选择须对应用户明确的目标受众或可说明的需求假设;不能因为亲情等题材容易写就认定有代表性。受众假设被用户否定时先退场该题材,不继续用通用标题包装原故事;年龄本身不证明某个需求普遍。
- 对候选问:去掉亲情、猎奇和氛围,产品价值还在吗?换掉产品名字后是否仍是空泛好话?结果配得上承诺吗?访客能记住哪一个具体变化?可迁移到竞品不等于没价值,但不能冒称独有。
- 文字、视觉与动作共享一条因果链;交互应帮助理解、证明协作或兑现结果,不能靠多点几次消耗注意力。先给最重要的意思,证据按需展开。
- 概念、示例和未上线能力必须可辨识;不靠虚构事实、夸大自主程度或与产品无关的情绪吸引。不能把完整、流畅、漂亮当成有效吸引的证据。
- 无真实用户数据时,只给出可反驳的吸引假设与AI审查结论。后续用同条件的少量目标用户比较“以为它是什么、记住什么、为何愿意继续”,再观察适用的真实行为;不伪造覆盖率或转换提升。题材本身无力时允许放弃,不继续包装。
- 对齐
docs/VISION.md,明确主题服务统一入口、能力编排、自感知、自治、自进化或生态扩展中的哪一点。 对长期个人搭档及关联产品,先检查是否表达了对同一个人的持续理解:任务只是上下文的一部分,项目、想法、学习、资讯和长短期规划之间的有意义联系也能构成证据。不能把单任务高效交付直接等同于全部定位;思考、讨论与调整理解不必强行收束到执行成果。 - 从代码、文档、真实 UI、事件链路、发布记录或用户反馈找证据。证据不足的内容写成方向,不写成已完成事实。
- 先选传播目标:发布关联的功能与优化使用结果营销短稿;状态报告使用结果摘要;只有用户明确要求时才写观点、科普或长篇故事。
- 用一句话冻结核心事实,再写它支撑的具体用户任务;模型接入、安装 skill、连接渠道等能力入口本身不是用户任务。
- 比较竞品前固定产品与版本,使用官方一手资料建立
能力 | NextClaw | 对方 | 结论。对方同样具备的能力不能继续称独有优势;文档未提及也不能断言不存在。 - 区分“自身已有能力、产品重要特点、相对差异”,再核对控制边界、执行层、生命周期、组合方式和成熟度。
- 写明能力边界和下一步,不把底座、方向或概念图包装成现成功能。
- 公开正文由 Wiki 中的用户内容边界约束;分类过程、模板解释和取舍理由留在协作材料,不进入发布稿。
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.
- 1mo ago Changed · +14 lines · -1 tokens per session df131aa2cf02
- 1mo ago Changed e3560bf140a9
- 2mo ago First seen · 73 lines · 60 tokens per session scan A 51171e20d9ce
nextclaw-product-blog-storytelling is a skill published in the GitHub repository Peiiii/nextclaw (263 stars, last pushed yesterday), licensed MIT. It adds 59 tokens to every session and 1,966 once invoked, about $0.0002 per session on Opus 5.5. 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.
nextclaw-product-blog-storytelling compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| nextclaw-product-blog-storytellingPeiiii/nextclaw | Skill | 263 | yesterday | MIT | A | 59 | Claude Code, Codex |
| ha-skill-creatorshiwenwen/hope-agent | Skill | 1.9k | yesterday | MIT | A | 106 | Claude Code |
| ha-browsershiwenwen/hope-agent | Skill | 1.9k | yesterday | MIT | A | 140 | Claude Code |
| ha-logsshiwenwen/hope-agent | Skill | 1.9k | yesterday | MIT | A | 183 | Claude Code, Codex |
| ha-pet-importshiwenwen/hope-agent | Skill | 1.9k | yesterday | MIT | A | 109 | Codex |
| ha-skill-installershiwenwen/hope-agent | Skill | 1.9k | yesterday | MIT | A | 82 | Claude Code, Codex |
| email-draftshiwenwen/hope-agent | Skill | 1.9k | yesterday | MIT | A | 46 | Claude Code, Codex |