blog-post

审查 · 60
已收录

Use when the user wants to write a blog post about a feature, product change, PR, git diff, or any technical topic - accepts marketing briefs, PRs, git refs, codebase paths, or freeform descriptions as input

Verified installs0
Stars39
版本1.0.0
质量57/100 · 有潜力
信任60/100 · 仅限沙盒
审计72/100 · 需审查

供给资产档案

编程与开发 Agent

代码审查、仓库分析、测试、CI、GitHub、DevOps 与开发工作流 Skill。

浏览赛道

场景

编程 Agent

我需要一个能理解仓库、修改代码并审查 Pull Request 的编程 Agent。

适配 Agent

Claude Code + CLI + Codex

适用于 Codex、Claude Code、Cursor、CLI 或自定义 Agent。

安装

就绪

npx skills add AlemTuzlak/skills --skill blog-post

维护状态

新鲜

距上次推送 2 天

风险

需审查

许可证不清晰

GitHub 质量

39

57/100 质量 · 68/100 信任

覆盖标签

编程编程 Agent编程 Agentagent-skill

审查说明

许可证不清晰 · Permission surface may require sandboxing

Agent 采用评分卡

一眼查看信任、审计与安装准备度

这些分数综合公开仓库元数据、OpenAgentSkill 审查信号、维护新鲜度与安装准备度。它用于候选筛选,不替代人工审查。

质量

有潜力
57

有用的候选项,但采用前应与替代方案比较。

信任

仅限沙盒
60

有用但信任信号不足或混杂的候选项。在结果闭环证明任务匹配前,请保持在隔离工作区内使用。

审计

需审查
72

对安装准备度、安全元数据、维护情况与采用风险的机器可读审查。

OpenAgentSkill 信任评分 v5

安装前需人工审查

仅在沙盒中运行,并在用于真实工作前比较接近的替代方案。

CodexClaude CodeCursorOpenAgentSkill CLI

Stars

39 个 GitHub Stars

仓库活跃度

39 个 Star,0 个 Fork

维护状态

距上次推送 2 天

许可证

未知

安装

npx skills add AlemTuzlak/skills --skill blog-post

安装安全性

标准软件包或运行时安装路径

权限范围

filesystem or document access, network or browser access

Agent 结果

暂未有 Agent 结果数据

文档

README/SKILL.md 上下文充分

风险摘要

生产前审查

  • Repository license is unknown; skill does not specify its own license or attribution terms.
  • Financial research output is not financial advice; require human review before any live investment decision.
  • 许可证不清晰
  • Low GitHub adoption signal

安装准备度

安装路径可用

  • 安装路径可用
  • 仓库证据可用
  • 许可证不清晰
  • 暂无 Agent 验证结果证据

Agent 可读元数据

这个 Skill 的机器可读决策数据。

使用此区块或内嵌 JSON 判断 Agent 是否应安装该 Skill、选择替代方案,或先请求人工审查。

打开 JSON

适用任务

  • 编程 Agent 工作流
  • Claude Code 团队
  • builders willing to evaluate younger projects
  • Inspect source files

适用 Agent

CodexClaude CodeCursorOpenAgentSkill CLICLI

安装决策

命令
npx skills add AlemTuzlak/skills --skill blog-post
策略
审查
人工审查

信任与风险

信任
60/100
审计
72/100
风险级别
需审查

结果闭环

端点
/api/agent/outcome
事件 ID
resolve
结果
5

安装命令

npx skills add AlemTuzlak/skills --skill blog-post

不适用场景

  • 需要厂商支持 SLA 的团队
  • production agents without a repository review
  • Low GitHub adoption signal
  • Repository license is unknown; skill does not specify its own license or attribution terms.
  • 高风险权限提示:Secrets or environment access

Agent 安全 v2

40/100 · 避免自动安装

实验性审查

Sparse or mixed signals. Useful for discovery, but not for autonomous installation.

Test manually in an isolated workspace and compare against safer alternatives.

通过 API 解析

网络访问

Skill 可能访问远程页面、API、仓库或外部服务。

文件系统访问

Skill 可能读取或写入项目文件、文档、生成产物或本地工作区状态。

Secrets or environment access

Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.

数据库访问

Skill 可能检查 Schema、查询数据库或处理持久化存储。

  • 高风险权限提示:Secrets or environment access
  • 许可证不清晰

安装目标

在你的 Agent 工作流中安装此 Skill

通过公开安装端点获取命令、安全清单、目标提示词和该 Skill 的规范链接。

skill install

OpenAgentSkill CLI

Resolve policy, run the source installer safely, and report a verified install receipt.

$ npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install alemtuzlak-blog-post

Agent 解析计划

让 Agent 在安装前验证匹配度。

Resolve API 返回首选 Skill、替代方案、安全策略、审计说明、安装目标和可直接执行的提示词,无需抓取此页面。

打开文本计划

Agent 应检查

  • 从 Resolve API 检查任务匹配与替代方案。
  • 检查审计评分、信任评分和安全策略警告。
  • 检查 Codex、Claude Code、Cursor 或 CLI 的安装目标兼容性。

复制提示词

Task: Use blog-post in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20blog-post%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/alemtuzlak-blog-post/install
Install command: npx skills add AlemTuzlak/skills --skill blog-post
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.

Agent 交接

把安装路径交给 Agent,而不是再给一个目录页。

通过公开安装端点获取命令、安全清单、目标提示词和该 Skill 的规范链接。

打开安装 API

Agent 提示词

Use blog-post for this task. Review https://www.openagentskill.com/api/skills/alemtuzlak-blog-post/install, then install with: npx skills add AlemTuzlak/skills --skill blog-post

Registry 元数据

用于自动选择 Skill 的 Agent 可读档案。

本页通过 Registry API 提供相同的决策、信任、审计、场景和安装信号,让 Agent 无需抓取界面即可排序。

打开 Manifest

适配 Agent

58/100

编程 Agent

平台

Claude Code

审计报告

需审查 · 72/100

对安装准备度、安全元数据、维护情况与采用风险的机器可读审查。

查看审计报告查看评估报告

Agent 决策面板

Fallback candidate for Coding agents

先用此 Skill 做原型验证,并保留备选方案。

58
就绪度
原型验证
阶段

栈中角色

备选候选

主要匹配

编程 Agent

信任标签

先做原型验证

安装路径

命令已就绪

适用场景

  • 编程 Agent 工作流
  • Claude Code 团队
  • builders willing to evaluate younger projects

证据

  • 仓库近期活跃
  • 已提供安装命令或 GitHub 仓库
  • 57/100 质量档案
  • 6 个 OpenAgentSkill 交互事件

先审查

  • Low GitHub adoption signal
  • Repository license is unknown; skill does not specify its own license or attribution terms.

实施路径

  1. 1在沙盒 Agent 中安装它,并端到端完成一次编程 Agent任务。
  2. 2Compare output quality, latency, and failure behavior against at least one alternative.
  3. 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.

信任档案

仅限沙盒

有用但信任信号不足或混杂的候选项。在结果闭环证明任务匹配前,请保持在隔离工作区内使用。

60
OpenAgentSkill 信任评分

GitHub 采用度

检查

39 个 GitHub Stars

Star/Fork 活跃度

检查

39 个 Star,0 个 Fork; 当前元数据中没有议题活跃度信息

近期维护

通过

距上次推送 2 天

许可证清晰度

检查

未知

积极信号

  • AI 审查已通过
  • 安装路径可用
  • 仓库证据可用
  • 近期维护的仓库
  • 安装命令未发现明显高风险模式
  • 结果闭环已就绪,但需要首次真实 Agent 运行

安装前审查

  • Repository license is unknown; skill does not specify its own license or attribution terms.
  • Financial research output is not financial advice; require human review before any live investment decision.
  • 许可证不清晰
  • Low GitHub adoption signal
  • Quality score needs review
  • Permission surface needs review: filesystem or document access, network or browser access
  • GitHub adoption: 39 GitHub stars
  • Stars/forks activity: 39 stars, 0 forks; issue activity unavailable in current metadata
  • License clarity: Unknown
  • Permission surface: filesystem or document access, network or browser access
  • 暂未有真实 Agent 结果报告
  • 无人值守安装前需要人工审查

建议操作

仅在沙盒中运行,并在用于真实工作前比较接近的替代方案。

质量档案

有潜力 适用于 Agent 工作流的候选

有用的候选项,但采用前应与替代方案比较。

57
GitHub Stars
39
新鲜度
2 天前
安装就绪
许可证
未知
安装前审查: Low GitHub adoption signal · Repository license is unknown; skill does not specify its own license or attribution terms.

工作流匹配

在这些场景使用此 Skill

工作流匹配

加入完整工作流

替代方案短名单

安装前对比

可能适合该任务的相近 Skill。

对比全部

概览

--- name: blog-post description: Use when the user wants to write a blog post about a feature, product change, PR, git diff, or any technical topic - accepts marketing briefs, PRs, git refs, codebase paths, or freeform descriptions as input ---

# Blog Post Writer

Write high-quality blog posts from code changes, marketing briefs, or feature descriptions. Handles SEO, structure, tone matching, and visual content.

**Writing rule (non-negotiable): never use em-dashes (— or –). Use a hyphen `-` instead.** Applies to every line of generated copy.

## Input Resolution

Resolve the argument (if provided) in this order:

1. Path to an existing marketing brief file (`.md` containing "Executive Summary" or "Key Messages") → **marketing brief** 2. Matches GitHub URL or `#\d+` pattern → **PR** 3. Contains `...` or `..` → **git ref range** 4. Resolves to existing file/directory → **codebase feature** 5. Otherwise → **freeform text**

If no argument is provided, ask: "What should I write about? You can provide a marketing brief path, PR URL/number, git ref range (e.g. v1.0...v2.0), file/directory path, or just describe the topic."

If multiple interpretations match, confirm with the user.

## Process Flow

```dot digraph blog_post { rankdir=TB; "Resolve input" [shape=box]; "Phase 1: Discovery" [shape=box]; "Phase 2: Research" [shape=box]; "Phase 3: Configure" [shape=box]; "Phase 4: Outline" [shape=box]; "Outline approved?" [shape=diamond]; "Phase 5: Write" [shape=box]; "Phase 6: Output" [shape=box];

"Resolve input" -> "Phase 1: Discovery"; "Phase 1: Discovery" -> "Phase 2: Research"; "Phase 2: Research" -> "Phase 3: Configure"; "Phase 3: Configure" -> "Phase 4: Outline"; "Phase 4: Outline" -> "Outline approved?"; "Outline approved?" -> "Phase 4: Outline" [label="no, revise"]; "Outline approved?" -> "Phase 5: Write" [label="yes"]; "Phase 5: Write" -> "Phase 6: Output"; } ```

**Do NOT skip phases.** Ask questions at a natural pace. Don't overwhelm, but don't artificially slow things down either. If the user answers multiple questions at once, accept their bundled answers and skip ahead.

If the user says "just pick defaults", "you choose", or similar, pick reasonable defaults based on context, state what you chose, and ask for a single confirmation before proceeding.

Never make assumptions without confirming.

## Phase 1: Discovery

### Step 1 - Analyze the input

| Input type | What to read | |---|---| | Marketing brief | Read the brief - extract problem statement, value prop, audience, key messages, competitive positioning. Still do Step 2 if the brief lacks product context, then proceed to Step 3. | | PR | Diff, PR description, review comments, commit messages (`gh pr view`, `gh pr diff`). For large PRs (20+ files), focus on user-facing changes. | | Git refs | `git diff` and `git log` between the refs. For large ranges, prioritize commit messages and user-facing changes. | | Codebase feature | Read the specified files/directories. | | Freeform text | Parse the user's description. If it lacks specifics (no feature name, no value prop, no context), ask the user to provide more detail or point to a specific file/PR. Fall back to open-ended questions only if they can't. |

**User-facing changes** include: new features, UI changes, API changes, performance improvements, bug fixes, and documentation updates. **Internal changes** include: refactors, test additions, CI changes, and dependency bumps. When uncertain, list what you found and ask the user which are relevant.

**Error handling:** - `gh` not installed/authenticated → inform user, suggest `gh auth login`, offer alternative input - Invalid PR/ref → tell user, ask to verify - File not found → ask for correct path

### Step 2 - Read broader product context

Read if they exist: README, docs/, package.json (or equivalent), marketing references.

Goal: understand what the product is, who it's for, what it does.

If nothing found, ask: "I couldn't find product context in the repo. Can you briefly describe the product and who it's for?"

### Step 3 - Present understanding

> "Here's what I understand:" > > - [ ] Feature A - short description > - [ ] Feature B - short description > > "Which of these should the blog post cover? Anything to add, remove, or correct?"

Ask as many questions as needed to fully understand the scope. Do NOT proceed until the user confirms.

### Step 4 - Flag sensitive items

Scan for: breaking changes, deprecations, security fixes, migration requirements.

If found, flag each and ask how to frame them before proceeding.

## Phase 2: Competitive Blog Research

Before configuring the post, search for similar blog posts in the space:

1. Use WebSearch to find 3-5 existing blog posts covering the same topic, competing products, or similar feature announcements 2. Analyze what works and what doesn't in those posts - structure, headlines, hooks, SEO keywords, depth 3. Identify content gaps - what are competitors NOT covering that this post could 4. Use these findings to inform SEO strategy, headline generation, and content structure

If WebSearch is unavailable, skip this phase and rely on your own knowledge.

Present a brief summary to the user:

> "I found some similar posts in the space. Here's what I noticed:" > - [Key findings about what works] > - [Content gaps / opportunities] > - [SEO keyword opportunities] > > "I'll use these insights to shape the post."

## Phase 3: Configuration

Ask these questions:

**Q1 - Audience:** "Who is this blog post for?" (developers, end users, technical decision-makers, general audience, other)

**Q2 - Tone:** Read existing blog posts, README, and docs in the repo to detect the product's voice. Then confirm:

> "Based on your existing content, the tone seems [e.g. conversational and developer-friendly]. Should I match that or go a different direction?"

If no existing content to analyze, ask directly what tone the user wants.

**Q3 - Post type:** Based on the input and audience, recommend a post type and confirm:

- **Feature announcement** - "We shipped X, here's why it matters" (~600-1000 words) - **Deep-dive technical** - "How we built X, the decisions and architecture" (~1500-2500 words) - **Problem-solution narrative** - "You have problem X, here's how this solves it" (~1000-2000 words)

> "Given the [input/audience], I'd recommend a [type] post because [reason]. Sound right?"

**Q4 - CTA:** Infer the most appropriate call to action from context: - Open source → star the repo, contribute, try it out - SaaS → sign up, start free trial - Feature update → try the new feature, read the docs - Library/SDK → install it, read the migration guide

> "I'd suggest the CTA be: [inferred CTA]. Want to go with that or something different?"

**Q5 - Involvement level:** "How involved do you want to be in the writing process?" - **A) Just write it** - I'll handle everything, pick the best headline, and save the final post. You can request changes after. - **B) Show me the outline first** - approve the structure, then I'll write the full post - **C) Walk me through it** - outline approval, then section-by-section with confirmation

## Phase 4: Outline

Generate a structured outline:

``` ## [Working title]

1. **Hook/Introduction** - [approach: question/statistic/bold statement/story] - Key point to establish - Transition to body

2. **Section Name** - [purpose] - Key points - Estimated word count

3. **Section Name** - [purpose] - Key points - Estimated word count

[...as many sections as needed]

N. **Conclusion** - [summary + CTA] - Key takeaway to reinforce - CTA: [specific action]

Estimated total: ~X words ```

If involvement level is A, generate the outline internally without showing it. For B and C, present it and wait for approval.

## Phase 5: Write

### Internal writing process (always runs, regardless of involvement level)

For each section:

1. **Write the section** 2. **Self-review:** analyze whether the content could be structured differently, is missing context the reader needs to understand and digest it, or has gaps that would confuse someone unfamiliar with the topic 3. **Backfill:** if missing pieces are found, add bridging paragraphs, context, or restructure before moving on

If involvement level is C, present each section after self-review and get confirmation before proceeding. For A and B, run this process silently.

### Headlines

After the body is complete, generate **3-5 headline options** using different formulas:

- How-to ("How [Product] solves [problem]") - Number/list ("3 reasons [feature] changes [workflow]") - Question ("Tired of [pain point]?") - Bold statement ("[Feature] is the fastest way to [outcome]") - Before/after ("[Pain] → [Result]: How [feature] makes it happen")

**Recommend one** and explain why it works best for this post's audience, SEO, and context. Also explain the trade-offs of the others.

For involvement levels B and C, present the options and get the user's selection before proceeding. For level A, use your recommendation.

Prioritize readability over SEO constraints. Write the best headline first. If it doesn't fit the 50-60 char SEO title limit, craft a separate shorter title tag for the frontmatter.

### SEO Frontmatter

Generate as YAML frontmatter at the top of the post:

```yaml --- title: "[Selected headline]" meta_description: "[140-160 chars, includes primary keyword, compelling value prop]" primary_keyword: "[main target keyword]" secondary_keywords: ["keyword1", "keyword2", "keyword3"] long_tail_keywords: ["longer phrase 1", "longer phrase 2"] slug: "[url-friendly-slug]" --- ```

Rules: - Title tag: 50-60 chars, primary keyword front-loaded - Meta description: 140-160 chars, written for humans, includes unique value prop - Keywords informed by Phase 2 competitive research - No keyword stuffing - natural language only

### Content formatting rules

- **Short paragraphs:** 2-4 sentences max - **Subheadings:** use H2 for main sections, H3 for subsections. Subheadings should work as a scannable outline on their own. - **Bold key phrases** to support F-pattern scanning - **Bullet points and lists** for any set of 3+ items - **One idea per paragraph** - **Never use em-dashes** in the generated content. No "—" characters. Use commas, colons, periods, or parentheses instead.

### Hook/Introduction

The intro has three components:

1. **Hook** (first 1-2 sentences) - a surprising statistic, bold claim, relatable pain point, or provocative question. Must create curiosity or emotional resonance in under 3 seconds of reading. 2. **Authority** - briefly establish why this matters or why the reader should trust this 3. **Promise** - clearly state what the reader will get from this post

Keep the intro to 3-5 short paragraphs. No walls of text.

### Conclusion

1. Restate the main takeaway (do NOT introduce new ideas) 2. Single, clear CTA with action verb ("Try it now", "Star the repo", "Start your free trial") 3. Optionally end with a forward-looking statement or question to spark discussion

### Visual content

**Generate directly when possible:** - Architecture diagrams → mermaid code blocks or inline SVG - Data flow diagrams → mermaid code blocks - Comparison tables → markdown tables - Code examples → syntax-highlighted code blocks

**For images that need external creation:** ```markdown <!-- TODO: Add image here --> <!-- Suggestion: [description of what the image should show] --> <!-- LLM prompt: "[ready-to-use prompt for an image generation model, e.g. 'A clean, minimal illustration showing a dashboard with dark mode toggle, flat design style, developer tool aesthetic, 16:9 ratio']" --> ![Alt text description](placeholder.png) ```

Use visuals wherever they help comprehension - after explaining a complex concept, when comparing options, or when showing UI changes.

### Code examples

For developer audiences, include at least one code exampl

技术详情

版本
1.0.0
许可证
Unknown
最近更新
2026年8月20日
发布时间
2026年8月19日

决策摘要

备选候选

58
就绪
原型验证
阶段

仓库近期活跃

审计

安装审查

安装与采用审查

72
需审查
安全性
70/100
维护状态
100/100
安装
92/100
打开完整审计查看评估报告

Agent 验证证据

Agent 验证证据

来自解析、审查、安装和一次小范围运行后的结果报告。

0
已验证
Needs first agent run自动安装: 先审查最近: 未知
成功率
近期失败
结果
0
输出质量
失败
0
不相关
0
安装次数
0
风险拦截
0
需要配置
0
生产环境
0

暂时没有 Agent 结果数据。首次 Agent 执行可以通过 /api/agent/outcome 报告成功、需要设置、风险拦截、失败或不相关。

安装

加入 Agent 工作流

免费且开源. 在生产 Agent 中安装前请先审查报告。

增长闭环

分享工具包

X

为 blog-post 准备的场景化草稿,可手动发布到 X。

策展说明
blog-post: Use when the user wants to write a blog post about a feature, product change, PR, git diff, o...

39 stars

https://www.openagentskill.com/skills/alemtuzlak-blog-post?ref=x
打开 X 草稿
可选:带安装命令的回复
Listing + install path for blog-post:
https://www.openagentskill.com/skills/alemtuzlak-blog-post?ref=x

Install: npx skills add AlemTuzlak/skills --skill blog-post
打开回复草稿

收录来源

Registry 收录

可认领

此列表来自公开来源,维护者认领获批前不会标记为官方。

创作者
AlemTuzlak
收录方
OpenAgentSkill 社区索引

归属链接指向公开仓库或创作者主页。创作者可认领列表以更新所有权信号。

认领此 Skill

所有者认领

认领此 Skill 页面

这条 Registry 收录 列表归属于 AlemTuzlak,但尚未标记为官方。认领后可增加已验证所有者信号,使后续发布、安装和审计更新更值得信赖。

创作者外链工具包

将证据徽章加入你的 README

在开发者评估仓库的位置展示规范页面、当前信任与审计信号,以及真实的 Agent 验证证据。

[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/alemtuzlak-blog-post?metric=listed&label=Listed)](https://www.openagentskill.com/skills/alemtuzlak-blog-post)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/alemtuzlak-blog-post?metric=trust&label=Trust)](https://www.openagentskill.com/skills/alemtuzlak-blog-post)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/alemtuzlak-blog-post?metric=audit&label=Audit)](https://www.openagentskill.com/skills/alemtuzlak-blog-post/audit)
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作者

A

AlemTuzlak

@alemtuzlak

平台适配

健康信号

GitHub Stars
39
质量评分
34/100
最近 GitHub 推送
2026年8月20日
框架提示
未知
OpenAgentSkill 浏览量
6
复制安装命令
0
跳转点击
0

社区信号

告诉我们这个 Skill 是否对你的 Agent 工作流有帮助。汇总反馈会持续改善排序。

信任与安全

仅限沙盒

60
  • GitHub 采用度39 个 GitHub Stars检查
  • Star/Fork 活跃度39 个 Star,0 个 Fork; 当前元数据中没有议题活跃度信息检查
  • 近期维护距上次推送 2 天通过
  • 许可证清晰度未知检查
  • README/SKILL.md 完整度元数据包含足够的用法与工作流上下文通过
  • 依赖与运行时风险network or browser surface, database surface信息