Wp Performance Review
elvismdev/claude-wordpress-skills
WordPress performance code review and optimization analysis.
对社媒帖子草稿进行互动潜力评分，基于历史表现数据输出结构化评分卡. An agent skill from ZJU-REAL/Easel.
Install Skill Post Scorer
$ npx skills add ZJU-REAL/Easel --skill skill-post-scorer -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ZJU-REAL/Easel skill-post-scorer --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/ZJU-REAL/Easel.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/openclaw/skill-post-scorer .claude/skills/skill-post-scorer && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "skill-post-scorer" agent skill from https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/skill-post-scorer into .claude/skills/skill-post-scorer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-post-scorer", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/skill-post-scorerType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add ZJU-REAL/Easel --skill skill-post-scorer -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ZJU-REAL/Easel skill-post-scorer --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ZJU-REAL/Easel.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/openclaw/skill-post-scorer .agents/skills/skill-post-scorer && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "skill-post-scorer" agent skill from https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/skill-post-scorer into .agents/skills/skill-post-scorer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-post-scorer", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ZJU-REAL/Easel --skill skill-post-scorer -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ZJU-REAL/Easel skill-post-scorer --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ZJU-REAL/Easel.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/openclaw/skill-post-scorer .cursor/skills/skill-post-scorer && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "skill-post-scorer" agent skill from https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/skill-post-scorer into .cursor/skills/skill-post-scorer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-post-scorer", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/ZJU-REAL/Easel.git --path skills/openclaw/skill-post-scorer--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add ZJU-REAL/Easel --skill skill-post-scorer -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ZJU-REAL/Easel skill-post-scorer --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ZJU-REAL/Easel.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/openclaw/skill-post-scorer .gemini/skills/skill-post-scorer && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "skill-post-scorer" agent skill from https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/skill-post-scorer into .gemini/skills/skill-post-scorer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-post-scorer", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install ZJU-REAL/Easel skill-post-scorerInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add ZJU-REAL/Easel --skill skill-post-scorer -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/ZJU-REAL/Easel.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/openclaw/skill-post-scorer .github/skills/skill-post-scorer && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "skill-post-scorer" agent skill from https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/skill-post-scorer into .github/skills/skill-post-scorer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-post-scorer", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ZJU-REAL/Easel --skill skill-post-scorer -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install ZJU-REAL/Easel skill-post-scorer --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ZJU-REAL/Easel.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/openclaw/skill-post-scorer .opencode/skills/skill-post-scorer && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "skill-post-scorer" agent skill from https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/skill-post-scorer into .opencode/skills/skill-post-scorer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-post-scorer", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
skill-post-scorer- GitHub stars
- 3.4k
- Token cost
- ~769 tokens
- SKILL.md length
- 156 words
- Files
- 5 (incl. scripts, references)
- Skills in repo
- 114
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
对社媒帖子草稿进行互动潜力评分，基于历史表现数据输出结构化评分卡. An agent skill from ZJU-REAL/Easel.
- Works in 3 steps: Profile 中的历史数据：检查 === EASEL ACCOUNT… → 用户提供数据：询问用户是否有历史帖子导出数据（各平台创作者中心/后台可导出… → 通用基准：以上都没有时，使用…
- Tasks that involve Performance reviews
- SKILL.md covers 输入, 输出, 执行步骤 and Profile 感知
- Runs Python scripts from its folder; calls python3
What it does
Skill Post Scorer is an agent skill from ZJU-REAL/Easel. 对社媒帖子草稿进行互动潜力评分，基于历史表现数据输出结构化评分卡。 当用户说"帖子打分""评分""这条能火吗""发布前评估""内容质量分""评分卡""草稿评估"时使用。 和 skill-topic-evaluator 的区别：evaluator 评还没做的选题潜力，本 SKILL 评已写好的草稿质量； 和 skill-social-performance-review 的区别：本 SKILL 评单条草稿（发布前），review 做月度组合复盘（发布后）。
Its SKILL.md is about 770 tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts and reference files (for example `EASEL-META.md`, `references/fallback-benchmarks.md` and `references/scoring-criteria.md`).
It sits in Business, Finance & HR, covering Performance reviews. The repository describes itself as: An open-source AI agent for social media — discover trends, create content, publish everywhere, and learn what works across Xiaohongshu, Douyin, Zhihu, Bilibili, and more.🎨一个开源的… The licence is Apache-2.0.
When your agent uses it
- Tasks that involve Performance reviews
Example prompts
- “/skill-post-scorer”
Requirements
- Python 3
Workflow steps
3 steps, taken from the first numbered list in SKILL.md.
- Profile 中的历史数据：检查 === EASEL ACCOUNT PROFILE === 标记，读取 performance_data 路径指向的历史帖子数据
- 用户提供数据：询问用户是否有历史帖子导出数据（各平台创作者中心/后台可导出 CSV/Excel，或整理成 JSON 数组）
- 通用基准：以上都没有时，使用 references/fallback-benchmarks.md 中的基准数据
What it can do on your machine
Read from SKILL.md and the folder at commit ede33b8. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python3
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Skill Post Scorer loads about 769 tokens when it runs, and up to ~3k if it reads all its reference files. Until then it costs about 62 tokens; SKILL.md has 156 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
SKILL.md
The full file from ZJU-REAL/Easel at commit ede33b8, republished under its Apache-2.0 licence (© ZJU-REAL). 156 words, ~769 tokens.
Download SKILL.mdSave it as
.claude/skills/skill-post-scorer/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.- name
- skill-post-scorer
- description
- 对社媒帖子草稿进行互动潜力评分，基于历史表现数据输出结构化评分卡。 当用户说"帖子打分""评分""这条能火吗""发布前评估""内容质量分""评分卡""草稿评估"时使用。 和 skill-topic-evaluator 的区别：evaluator 评还没做的选题潜力，本 SKILL 评已写好的草稿质量； 和 skill-social-performance-review 的区别：本 SKILL 评单条草稿（发布前），review 做月度组合复盘（发布后）。
- layer
- attribute
帖子表现评分
对社媒帖子草稿进行互动潜力评分，基于历史表现数据输出结构化评分卡。
加载后立即开始评分流程，不做摘要或等待确认。
输入
用户 prompt 中提供待评分的帖子草稿，支持以下形式：
- 文本内容：直接粘贴帖子文案
- 文件路径：指向
outputs/中的草稿文件 - 平台指定：可选，指定目标平台（小红书、抖音、微博、知乎、公众号、B站等）
示例 prompt：
Execute /skill-post-scorer
帖子：
我花了3年时间才明白一个道理：
最好的内容不是"写"出来的，而是"提炼"出来的。
以下是我总结的5个内容提炼方法...输出
输出代码块格式的评分卡：
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
帖子表现评分卡
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
钩子强度 ██████████ 8/10
声音匹配度 ███████░░░ 7/10
价值密度 ████████░░ 8/10
结构与格式 ███████░░░ 7/10
发布就绪度 ██████░░░░ 6/10
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
总分 36/50
判定 值得发布，建议优化钩子
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
改进建议：
1. [最弱维度] 具体修改建议
2. ...执行步骤
第一步：获取帖子
读取用户粘贴的帖子内容。如果 prompt 中没有帖子文本，主动询问用户提供。
第二步：加载评分数据
按优先级获取表现数据：
- Profile 中的历史数据：检查
=== EASEL ACCOUNT PROFILE ===标记，读取performance_data路径指向的历史帖子数据 - 用户提供数据：询问用户是否有历史帖子导出数据（各平台创作者中心/后台可导出 CSV/Excel，或整理成 JSON 数组）
- 通用基准：以上都没有时，使用
references/fallback-benchmarks.md中的基准数据
第三步：分析高表现帖子
互动分与 Top 10% 筛选交给脚本，LLM 只做特征提炼。 由
scripts/score.py完成（复用../../shared/scripts/social_stats.py的engagement_score）。
有历史/用户数据时，把帖子整理成 JSON 数组（每条含点赞与评论字段），调用：
python3 skills/openclaw/skill-post-scorer/scripts/score.py top --input history.json
python3 skills/openclaw/skill-post-scorer/scripts/score.py top --input history.json --top-pct 5脚本自动：按 互动分 = 点赞 + 评论×3 逐条计算（字段兼容 likes/reactions/点赞、
comments/评论）、按互动分降序、算出 Top N% 门槛与分布（均值/中位数/最高/最低）、
样本量不足警告。LLM 拿到脚本输出的 Top 帖子后，提取其共性特征：
- 开头钩子类型（提问、数据、故事、反常识）
- 文本长度和段落节奏
- 格式特征（列表、分隔、emoji 使用）
- 行动号召（CTA）类型
- 主题分类
- 句式节奏（长短交替、断句频率）
无历史数据时跳过本步，直接用 references/fallback-benchmarks.md 的通用模式特征。
第四步：五维评分
按 5 个维度打分，每项 1-10 分，总分 50 分。
评分标准详见 references/scoring-criteria.md。
| 维度 | 评判重点 |
|---|---|
| 钩子强度 | 前两句是否能阻止滑动，制造好奇或共鸣 |
| 声音匹配度 | 是否契合账号一贯的语气、人设和表达习惯 |
| 价值密度 | 每段是否提供具体洞察，而非空泛陈述 |
| 结构与格式 | 排版是否适配目标平台的阅读习惯 |
| 发布就绪度 | 能否直接发布，还是需要润色或补充 |
评分纪律：
- 诚实评分，不做讨好
- 除非帖子确实匹配 Top 10% 的模式特征，否则不给 8 分以上
- 有真实数据时用数据说话，没有时明确标注"基于通用基准"
第五步：输出评分卡
按照上方「输出」部分的格式输出评分卡，包含：
- 五维分数（含进度条可视化）
- 总分和判定结论
- 针对最弱维度的具体改进建议
判定标准：
- 40-50：优秀，直接发布
- 30-39：值得发布，建议优化标注的弱项
- 20-29：需要修改，重点改进最弱的 1-2 个维度
- < 20：建议重写
更细分档（含各边界档的判定措辞）见
references/fallback-benchmarks.md，两处口径一致。
第六步：提供改写服务
输出评分卡后，主动提出：
是否需要我改写得分最低的部分？
如果用户同意，针对最弱维度进行定向改写，保留其他部分不变，改写后重新评分对比。
Profile 感知
有 Profile
- 读取
voice/tone字段，作为「声音匹配度」的评判标准 - 读取
platform字段，调整「结构与格式」的平台适配规则 - 读取
performance_data字段指向的历史数据文件，用真实数据替代通用基准 - 读取
topics/niche字段，评估内容是否在账号定位范围内
无 Profile
- 「声音匹配度」退化为通用可读性评估
- 「结构与格式」使用通用社媒最佳实践
- 使用
references/fallback-benchmarks.md中的基准数据 - 评分卡末尾附注："如提供账号 Profile（含历史表现数据），评分将更精准"
© ZJU-REAL, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 4 other files (scripts, references) in skills/openclaw/skill-post-scorer of ZJU-REAL/Easel.
- SKILL.md
- EASEL-META.md
- references/fallback-benchmarks.md
- references/scoring-criteria.md
- scripts/score.py
Open the folder on GitHubat commit ede33b8
Compare with similar skills
Skill Post Scorer next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Skill Post Scorer this skillZJU-REAL/Easel | 3.4k | — | ~769 | Automated safety check: Pass | Apache-2.0 | |
| Wp Performance Reviewelvismdev/claude-wordpress-skills | 235 | 1 repos | ~4.5k | Automated safety check: Pass | MIT | |
| Align Humanagentscope-ai/OpenJudge | 871 | — | ~3.1k | Automated safety check: Pass | Apache-2.0 | |
| Run Mv Hoi Reconstructionnvidia-isaac/video_to_data | 861 | — | ~1.5k | Automated safety check: Pass | Custom licence | |
| Company Analysiszhu1090093659/dsh-trading | 238 | — | ~4.2k | Automated safety check: Pass | Custom licence | |
| Windbg Diagnostic Methodmicrosoft/win-dev-skills | 466 | — | ~1.9k | Automated safety check: Pass | MIT |
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Novel Writer
ZJU-REAL/Easel
长篇小说/网文连载创作：从世界观、人设和三级大纲写到逐章正文，并用文件化状态维护伏笔、前情和跨章一致性. An agent skill from ZJU-REAL/Easel.
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Questions about Skill Post Scorer
What does Skill Post Scorer do?
对社媒帖子草稿进行互动潜力评分，基于历史表现数据输出结构化评分卡. An agent skill from ZJU-REAL/Easel. Skill Post Scorer is an agent skill from ZJU-REAL/Easel.
When should I use Skill Post Scorer?
Skill Post Scorer fits situations like: tasks that involve Performance reviews.
How do I install Skill Post Scorer in Claude Code?
Run `npx skills add ZJU-REAL/Easel --skill skill-post-scorer -a claude-code`. Or copy the skill folder (skills/openclaw/skill-post-scorer in ZJU-REAL/Easel) into .claude/skills/skill-post-scorer in your project. Claude Code loads it when a task matches its description.
How do I install Skill Post Scorer in Codex?
Run `npx skills add ZJU-REAL/Easel --skill skill-post-scorer -a codex`. Or copy the skill folder (skills/openclaw/skill-post-scorer in ZJU-REAL/Easel) into .agents/skills/skill-post-scorer in your project. Codex loads it when a task matches its description.
Can I use Skill Post Scorer in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ZJU-REAL/Easel --skill skill-post-scorer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/skill-post-scorer, .gemini/skills/skill-post-scorer, .github/skills/skill-post-scorer and .opencode/skills/skill-post-scorer in your project.
What does Skill Post Scorer need to run?
Going by SKILL.md and its folder, Skill Post Scorer needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.
Does Skill Post Scorer access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Skill Post Scorer safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Skill Post Scorer use?
Skill Post Scorer is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Skill Post Scorer use?
About 769 tokens (SKILL.md is roughly 3.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.2k tokens, read only when the agent opens those files.
What are the alternatives to Skill Post Scorer?
Skills that share tags, products or a category with Skill Post Scorer: Wp Performance Review (elvismdev/claude-wordpress-skills, 235 stars), Align Human (agentscope-ai/OpenJudge, 871 stars), Run Mv Hoi Reconstruction (nvidia-isaac/video_to_data, 861 stars) and Company Analysis (zhu1090093659/dsh-trading, 238 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Skill Post Scorer?
ZJU-REAL (a GitHub organization) maintains it in ZJU-REAL/Easel, which has 3,441 GitHub stars. The repository holds 114 skills in this directory. The repository was last updated on October 11, 2026.
Source: ZJU-REAL/Easel on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.