Arize Evaluator
github/awesome-copilot
Handles LLM-as-judge evaluation workflows on Arize including creating/updating evaluators, running evaluations on spans or experiments, managing tasks, trigger-run operations, column mapping, and…
评估单个选题的潜力，按统一维度（流量潜力、账号匹配、 竞争差异化、时效价值、变现空间、制作成本、合规风险）打分，输出"做/不做/改方向"建议。
Apache-2.0Auto-check passed
Install Skill Topic Evaluator
$ npx skills add ZJU-REAL/Easel --skill skill-topic-evaluator -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ZJU-REAL/Easel skill-topic-evaluator --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-topic-evaluator .claude/skills/skill-topic-evaluator && 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-topic-evaluator" agent skill from https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/skill-topic-evaluator into .claude/skills/skill-topic-evaluator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-topic-evaluator", 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-topic-evaluatorType 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-topic-evaluator -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ZJU-REAL/Easel skill-topic-evaluator --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-topic-evaluator .agents/skills/skill-topic-evaluator && 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-topic-evaluator" agent skill from https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/skill-topic-evaluator into .agents/skills/skill-topic-evaluator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-topic-evaluator", 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-topic-evaluator -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ZJU-REAL/Easel skill-topic-evaluator --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-topic-evaluator .cursor/skills/skill-topic-evaluator && 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-topic-evaluator" agent skill from https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/skill-topic-evaluator into .cursor/skills/skill-topic-evaluator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-topic-evaluator", 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-topic-evaluator--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-topic-evaluator -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ZJU-REAL/Easel skill-topic-evaluator --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-topic-evaluator .gemini/skills/skill-topic-evaluator && 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-topic-evaluator" agent skill from https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/skill-topic-evaluator into .gemini/skills/skill-topic-evaluator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-topic-evaluator", 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-topic-evaluatorInstalls 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-topic-evaluator -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-topic-evaluator .github/skills/skill-topic-evaluator && 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-topic-evaluator" agent skill from https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/skill-topic-evaluator into .github/skills/skill-topic-evaluator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-topic-evaluator", 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-topic-evaluator -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-topic-evaluator --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-topic-evaluator .opencode/skills/skill-topic-evaluator && 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-topic-evaluator" agent skill from https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/skill-topic-evaluator into .opencode/skills/skill-topic-evaluator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-topic-evaluator", 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-topic-evaluator- GitHub stars
- 3.4k
- Token cost
- ~732 tokens
- SKILL.md length
- 134 words
- Files
- 2
- Skills in repo
- 114
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
评估单个选题的潜力，按统一维度（流量潜力、账号匹配、 竞争差异化、时效价值、变现空间、制作成本、合规风险）打分，输出"做/不做/改方向"建议。
- Works in 3 steps: 解析选题意图 → 逐维深度评估 → 综合判断与输出
- SKILL.md covers 输入, 输出, 执行步骤 and Profile 感知, plus 1 more section
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Skill Topic Evaluator is an agent skill from ZJU-REAL/Easel. 评估单个选题的潜力，按统一维度（流量潜力、账号匹配、 竞争差异化、时效价值、变现空间、制作成本、合规风险）打分，输出"做/不做/改方向"建议。 当用户说"这个选题值不值得做"、"评估一下"、"能不能火"、"有没有流量"、 "做不做这个"、"选题评估"、"值得做吗"、"这个话题行不行"、"帮我判断一下"时触发。 skill-content-matrix 批量生成选题池；skill-post-scorer 评估已完成内容，本 SKILL 评估尚未制作的单个选题。
Its SKILL.md is about 730 tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `EASEL-META.md`).
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.
Example prompts
- “做/不做/改方向”
- “这个选题值不值得做”
- “这个话题行不行”
- “/skill-topic-evaluator”
Workflow steps
3 steps, taken from the first numbered list in SKILL.md.
- 解析选题意图
- 逐维深度评估
- 综合判断与输出
What it can do on your machine
Read from SKILL.md and the folder at commit 278f420. 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
No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).
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 Topic Evaluator loads about 732 tokens when it runs. Until then it costs about 63 tokens; SKILL.md has 134 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); files beside SKILL.md are not scanned.
SKILL.md
The full file from ZJU-REAL/Easel at commit 278f420, republished under its Apache-2.0 licence (© ZJU-REAL). 134 words, ~732 tokens.
Download SKILL.mdSave it as
.claude/skills/skill-topic-evaluator/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- skill-topic-evaluator
- description
- 评估单个选题的潜力，按统一维度（流量潜力、账号匹配、 竞争差异化、时效价值、变现空间、制作成本、合规风险）打分，输出"做/不做/改方向"建议。 当用户说"这个选题值不值得做"、"评估一下"、"能不能火"、"有没有流量"、 "做不做这个"、"选题评估"、"值得做吗"、"这个话题行不行"、"帮我判断一下"时触发。 skill-content-matrix 批量生成选题池；skill-post-scorer 评估已完成内容，本 SKILL 评估尚未制作的单个选题。
- layer
- plan
选题可行性评估
用户给一个选题，多维度打分评估值不值得做，输出"做/不做/改方向"建议。
评分口径：本 SKILL 与
skill-content-matrix共用../../shared/scoring-dimensions.md的统一七维 + 标尺 + 权重。matrix 做批量池快评，本 SKILL 做单条深评（逐维展开详细分析）。两者维度、标尺、综合分阈值完全一致。
输入
| 参数 | 必填 | 说明 |
|---|---|---|
| 选题 | 是 | 用户想做的选题标题或描述 |
| 目标平台 | 否 | 小红书 / 抖音 / 微博 / 知乎 / B站 / 公众号（有 Profile 时自动提取） |
| 补充背景 | 否 | 选题来源、灵感、竞品参考等 |
输出
# 选题评估报告
## 选题: {用户给出的选题}
目标平台: {platform}
评估时间: {date}
## 七维评分
按 `../../shared/scoring-dimensions.md` 的统一维度和标尺打分，逐维带详细依据：
| 维度 | 得分 | 说明 |
|------|------|------|
| 流量潜力 | X/10 | {痛感强度 + 平台话题热度 + 搜索需求} |
| 账号匹配 | X/10 | {与定位、受众、内容体系的契合度} |
| 竞争差异化 | X/10 | {同类饱和度 + 能否切差异化角度，高分=竞争低} |
| 时效价值 | X/10 | {常青 vs 一次性热点，高分=常青} |
| 变现空间 | X/10 | {能否自然接广告/带货/引流} |
| 制作成本 | X/10 | {资源与技能门槛，反向，高分=易做} |
| 合规风险 | X/10 | {敏感度风险，反向，高分=低风险} |
综合得分: XX/100（按 scoring-dimensions.md 的推荐权重加权换算）
## 结论: {做 / 不做 / 改方向}
{一句话总结判断理由}
## 详细分析
### 流量潜力分析
{该选题在目标平台的搜索热度、话题讨论量、同类爆款情况}
### 竞争差异化
{头部玩家是否占位、中腰部突围空间、差异化切入点}
### 时效价值
{常青还是短期热点、最佳发布窗口}
### 变现路径
{可接的商业合作类型、引流转化链路}
### 制作可行性
{需要的素材/设备/专业知识/时间投入}
### 账号契合度
{与创作者内容体系和粉丝画像的匹配程度}
### 合规风险
{敏感赛道标注 ⚠️ 及合规建议}
## 优化建议（改方向时提供）
1. {角度调整建议}
2. {形式调整建议}
3. {时机调整建议}
## 替代选题推荐（不做时提供）
1. {替代选题 A} — {推荐理由}
2. {替代选题 B} — {推荐理由}评分标尺
统一的七维标尺（1-3 / 4-6 / 7-8 / 9-10 分档）见 ../../shared/scoring-dimensions.md，本 SKILL 直接套用，不另立口径。
执行步骤
解析选题意图
- 提取用户给出的选题核心关键词和主题方向
- 识别选题类型：知识干货、情绪共鸣、热点追踪、人设展示、带货种草、争议讨论
- 如未指定平台，根据选题类型推断最适合的平台，或询问用户
逐维深度评估
按
../../shared/scoring-dimensions.md的七维逐一展开，每维给分并写明具体依据：- 流量潜力 — 平台话题热度、搜索需求、同类历史表现、传播性、算法偏好
- 账号匹配 — 与定位/人设/赛道、已有内容承接、粉丝画像兴趣、长期成长影响
- 竞争差异化 — 同类饱和度、头部是否占位、中腰部突围空间、可切的新角度
- 时效价值 — 常青 vs 时效；常青评估长期搜索价值，时效评估衰减速度和最佳窗口
- 变现空间 — 商业价值（品牌/带货/知识付费/引流）、受众付费意愿、变现路径是否自然
- 制作成本（反向）— 所需素材/设备/专业知识/周期，创作者现有能力能否覆盖
- 合规风险（反向）— 敏感赛道标注 ⚠️ 及合规建议
综合判断与输出
- 按 scoring-dimensions.md 的推荐权重计算综合得分（满分 100）
- 按统一阈值给结论：
- ≥ 70：做，立刻排期
- 50-69：改方向，调整后再评估（附至少 2 条优化建议）
- < 50：不做，附至少 2 个替代选题
- 输出完整评估报告
Profile 感知
有 Profile 时：
- 读取
identity.md获取赛道定位，精确评估账号匹配度 - 读取
audience.md获取粉丝画像，评估受众兴趣匹配 - 读取
platforms.md获取活跃平台，针对性评估平台流量潜力 - 读取
style.md判断选题与内容风格的兼容性 - 从
identity.md/preferences.md提取变现信息，评估变现路径可行性
无 Profile 时：
- 七维评分改为通用标准，不做账号匹配度的精细评估
- 账号匹配度维度提示"提供 Profile 可获得更准确的匹配评估"
- 流量潜力基于平台大盘数据而非账号历史表现
规则
- 评分必须基于具体分析，禁止凭感觉打分
- 每个维度的说明必须包含具体依据，不可空泛
- "改方向"结论必须附带至少 2 条优化建议
- "不做"结论必须附带至少 2 个替代选题
- 评估必须考虑创作者的实际能力，不推荐超出能力范围的选题
- 涉及敏感赛道（医美、财商、母婴、健康）的选题需标注合规风险
自研溯源与参考方向见同目录
EASEL-META.md。
© 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 1 other file in skills/openclaw/skill-topic-evaluator of ZJU-REAL/Easel.
- SKILL.md
- EASEL-META.md
Open the folder on GitHubat commit 278f420
Compare with similar skills
Skill Topic Evaluator 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 Topic Evaluator this skillZJU-REAL/Easel | 3.4k | — | ~732 | Automated safety check: Pass | Apache-2.0 | |
| Arize Evaluatorgithub/awesome-copilot | 40k | 1 repos | ~8.1k | Automated safety check: Notes | MIT | |
| LLM Evaluationdavila7/claude-code-templates | 33k | 12 repos | ~3.5k | Automated safety check: Pass | MIT | |
| Agent Evaluationsickn33/agentic-awesome-skills | 47k | 1 repos | ~2k | Automated safety check: Pass | MIT | |
| EvaluatorsArize-ai/phoenix | 12k | — | ~1.7k | Automated safety check: Pass | Custom licence | |
| Agent Evaluation Reportingsickn33/agentic-awesome-skills | 47k | 1 repos | ~2.1k | Automated safety check: Pass | MIT |
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Infographic
ZJU-REAL/Easel
将数据或文字内容转化为可视化信息图，支持静态（AntV）和动画 GIF 两种模式。当用户需要制作信息图、数据可视化、流程图、对比图、动画图表、GIF 图表、思维导图、SWOT 分析图时调用。本地渲染信息图/GIF 动画；要单张静态图片 URL 用 chart-visualization，要 CSV/JSON→整页报告用 data-report
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.
Questions about Skill Topic Evaluator
What does Skill Topic Evaluator do?
评估单个选题的潜力，按统一维度（流量潜力、账号匹配、 竞争差异化、时效价值、变现空间、制作成本、合规风险）打分，输出"做/不做/改方向"建议。. Skill Topic Evaluator is an agent skill from ZJU-REAL/Easel.
How do I install Skill Topic Evaluator in Claude Code?
Run `npx skills add ZJU-REAL/Easel --skill skill-topic-evaluator -a claude-code`. Or copy the skill folder (skills/openclaw/skill-topic-evaluator in ZJU-REAL/Easel) into .claude/skills/skill-topic-evaluator in your project. Claude Code loads it when a task matches its description.
How do I install Skill Topic Evaluator in Codex?
Run `npx skills add ZJU-REAL/Easel --skill skill-topic-evaluator -a codex`. Or copy the skill folder (skills/openclaw/skill-topic-evaluator in ZJU-REAL/Easel) into .agents/skills/skill-topic-evaluator in your project. Codex loads it when a task matches its description.
Can I use Skill Topic Evaluator 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-topic-evaluator -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-topic-evaluator, .gemini/skills/skill-topic-evaluator, .github/skills/skill-topic-evaluator and .opencode/skills/skill-topic-evaluator in your project.
What does Skill Topic Evaluator need to run?
SKILL.md names no scripts, command-line tools or credentials: Skill Topic Evaluator is instructions for the agent only.
Does Skill Topic Evaluator 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 Topic Evaluator 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. Review the folder before installing.
What licence does Skill Topic Evaluator use?
Skill Topic Evaluator 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 Topic Evaluator use?
About 732 tokens (SKILL.md is roughly 2.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Skill Topic Evaluator?
Skills that share tags, products or a category with Skill Topic Evaluator: Arize Evaluator (github/awesome-copilot, 40k stars), LLM Evaluation (davila7/claude-code-templates, 33k stars), Agent Evaluation (sickn33/agentic-awesome-skills, 47k stars) and Evaluators (Arize-ai/phoenix, 12k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Skill Topic Evaluator?
ZJU-REAL (a GitHub organization) maintains it in ZJU-REAL/Easel, which has 3,376 GitHub stars. The repository holds 114 skills in this directory. The repository was last updated on October 9, 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.