Agent skill

Skill Persona Check

by ZJU-REAL in ZJU-REAL/Easel

人设一致性检查与品牌调性检查:对比内容与创作者画像的账号定位、内容赛道、形式、受众、 风格和偏好, 输出一致性评分和具体偏离点。当用户说"符合我的人设吗"、"一致性检查"、"风格对不对"、 "像我写的吗"、"品牌一致"、"调性检查"、"这是我的风格吗"、"人设偏了没"、 "语气对不对"、"品牌声音检查"时触发。

Apache-2.0Auto-check passed

Install Skill Persona Check

skills CLI
$ npx skills add ZJU-REAL/Easel --skill skill-persona-check -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install ZJU-REAL/Easel skill-persona-check --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/ZJU-REAL/Easel.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/openclaw/skill-persona-check .claude/skills/skill-persona-check && rm -rf skills-src

Use ~/.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/

Facts

Skill name
skill-persona-check
GitHub stars
3.4k
Token cost
~937 tokens
SKILL.md length
230 words
Files
2
Skills in repo
114
Repo updated
First seen
Licence
Apache-2.0

At a glance

人设一致性检查与品牌调性检查:对比内容与创作者画像的账号定位、内容赛道、形式、受众、 风格和偏好, 输出一致性评分和具体偏离点。当用户说"符合我的人设吗"、"一致性检查"、"风格对不对"、 "像我写的吗"、"品牌一致"、"调性检查"、"这是我的风格吗"、"人设偏了没"、 "语气对不对"、"品牌声音检查"时触发。

  • Works in 6 steps: 解析 Profile 画像 → 分析待检查内容 → 逐维度对比 → …
  • SKILL.md covers 与其他 SKILL 的区别, 前提条件, 输入 and 输出, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Skill Persona Check is an agent skill from ZJU-REAL/Easel. 人设一致性检查与品牌调性检查:对比内容与创作者画像的账号定位、内容赛道、形式、受众、 风格和偏好, 输出一致性评分和具体偏离点。当用户说"符合我的人设吗"、"一致性检查"、"风格对不对"、 "像我写的吗"、"品牌一致"、"调性检查"、"这是我的风格吗"、"人设偏了没"、 "语气对不对"、"品牌声音检查"时触发。 必须有 Profile 才能工作;无 Profile 时提示先创建。

Its SKILL.md is about 940 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

  • “符合我的人设吗”
  • “这是我的风格吗”
  • “品牌声音检查”
  • “/skill-persona-check”

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. 解析 Profile 画像
  2. 分析待检查内容
  3. 逐维度对比
  4. 定位偏离点
  5. 生成修改建议
  6. 输出报告

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 json).

    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 Persona Check loads about 937 tokens when it runs. Until then it costs about 53 tokens; SKILL.md has 230 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~53
When it runs · the whole SKILL.md, loaded when a task matches
~937

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). 230 words, ~937 tokens.

Download SKILL.mdSave it as .claude/skills/skill-persona-check/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
skill-persona-check
description
人设一致性检查与品牌调性检查:对比内容与创作者画像的账号定位、内容赛道、形式、受众、 风格和偏好, 输出一致性评分和具体偏离点。当用户说"符合我的人设吗"、"一致性检查"、"风格对不对"、 "像我写的吗"、"品牌一致"、"调性检查"、"这是我的风格吗"、"人设偏了没"、 "语气对不对"、"品牌声音检查"时触发。 必须有 Profile 才能工作;无 Profile 时提示先创建。
layer
publish

人设一致性检查

检查内容是否符合创作者人设和品牌调性,输出一致性评分与偏离诊断。

与其他 SKILL 的区别

SKILL定位关注点
persona-check(本 SKILL)人设/品牌一致性账号定位、题材、形式、受众、风格是否匹配画像
skill-quality-gate深度合规 + 质量审核平台规则、内容质量
skill-publish-checklist完整性检查有没有漏标题、漏封面等

前提条件

本 SKILL 必须有 Profile 才能工作。Profile 中应包含以下信息(部分或全部):

  • identity.md:账号定位、主线赛道、内容方向
  • style.md:语气、叙事、视觉和内容形式
  • audience.md:目标受众及其需求
  • preferences.md:要做、不做和明确红线
  • memory.md:当前画像已验证的经验与踩坑

如果没有 Profile,直接返回提示,不做检查。

输入

  • 待检查内容:文案文本或产物路径
  • Profile:通过 === EASEL ACCOUNT PROFILE === 标记注入,或指定画像名称

输出

输出结构化一致性报告,JSON 格式:

json
{
  "overall_score": 85,
  "verdict": "consistent | minor_drift | major_drift",
  "publish_allowed": true,
  "warning": "",
  "dimensions": [
    {
      "dimension": "检查维度名",
      "score": 90,
      "status": "aligned | drifted",
      "evidence": "具体证据文本",
      "suggestion": "调整建议"
    }
  ],
  "drift_summary": ["偏离点概述列表"],
  "rewrite_hints": ["具体修改建议"],
  "summary": "一句话总结"
}

评分标准:

  • 80-100:一致(consistent),无需人设警告
  • 60-79:轻微偏离(minor_drift),明确警告并给出修改建议
  • 0-59:明显偏离(major_drift),醒目警告账号定位/题材/形式偏离

人设评分只做提醒,不是发布权限。 publish_allowed 始终为 true;低分不得阻断发布、 不得要求用户为了通过评分而强制改稿。用户已经明确要发布时,展示警告后继续发布。内容安全、 平台合规、敏感信息等独立硬门禁不在本 SKILL 范围内,仍按对应规则处理。

执行步骤

Step 1 — 解析 Profile 画像
  1. 检测是否有 Profile 上下文(=== EASEL ACCOUNT PROFILE === 标记)
  2. 无 Profile → 直接输出提示信息并终止:
    未检测到账号 Profile,无法进行人设一致性检查。
    请先创建 Profile:用 skill-profile-builder 引导创建,或复制 profiles/_template/ 手动填写。
    Profile 的 style.md 应包含:写作风格、语气基调、人格特征、标志性表达。
  3. 有 Profile → 必须读取当前画像的 identity.md、style.md、audience.md、 preferences.md、memory.md;发布场景再读取 platforms.md。先提取账号主线、允许题材、 内容形式和受众,再提取语气、用词和平台习惯。不得只读 style.md 后凭语言相似度评分。
Step 2 — 分析待检查内容

对输入内容进行多维度语言分析:

  1. 题材与意图:这条内容在讲什么,是否属于账号主线或合理延展
  2. 内容形式:小说、动画、口播、测评、图文等是否匹配账号定位
  3. 目标受众:内容解决的问题、情绪价值和阅读门槛是否面向画像受众
  4. 语言风格:语气、用词、句式、叙事视角和情感色彩
  5. 平台与偏好:是否适合目标平台,是否触碰画像明确的“不做”项
Step 3 — 逐维度对比

将内容特征与 Profile 特征逐维度对比,每个维度独立评分:

维度对比内容权重
账号定位与内容赛道题材/主题 vs identity.md 主线、内容方向、选题池30%
内容形式一致性小说/动画/图文/口播等 vs 画像规定的主要内容形式15%
目标受众匹配内容价值与阅读/观看人群 vs audience.md15%
语气与叙事风格语气、节奏、视角 vs style.md15%
人格与用词表达人格、词汇、标志性表达 vs 画像10%
平台适配内容形态和表达 vs platforms.md(无目标平台时给中性分)10%
偏好与经验preferences.md 与当前画像 memory.md5%

每个维度评分 0-100,加权计算总分。

为防止语言相似掩盖根本性错位,计算后应用以下上限:

  • 账号定位与内容赛道 < 40:总分最高 59,必须判定 major_drift。
  • 内容形式一致性 < 40:总分最高 69,至少判定 minor_drift。
  • 触碰画像已确认的“不做”项或红线:总分最高 39,并明确指出证据;但仍只警告,不代替用户决定是否发布。
  • 用户主动要求跨赛道,只代表这是有意识的选择,不能因此虚增一致性分;报告中注明“用户主动跨赛道”即可。

示例:2D 搞笑动画博主 发布纯恐怖文字小说,即使同样口语化、有画面感、有反转, 账号赛道和内容形式仍严重不符,总分必须低于 60,不能因语言技巧给出 80+。

Step 4 — 定位偏离点

对于 score < 80 的维度,给出具体偏离证据:

  1. 引用原文:指出内容中偏离人设的具体段落或句子
  2. 对比说明:说明 Profile 期望的表达方式 vs 实际表达
  3. 严重程度:标记该偏离是否影响整体人设感知
Step 5 — 生成修改建议

针对每个偏离点,给出可操作的修改建议:

  • 具体到词级别:建议替换的词汇
  • 具体到句级别:建议调整的句式
  • 具体到段级别:建议重写的方向
Step 6 — 输出报告

汇总所有维度评分,生成结构化报告:

  1. 计算加权总分并应用严重偏离上限
  2. 判定 verdict(consistent / minor_drift / major_drift)
  3. 列出所有偏离点摘要
  4. 给出优先级排序的修改建议
  5. publish_allowed 固定输出 true;低于 80 分时填写醒目的 warning
  6. 生成一句话总结,明确“这是人设提醒,不阻止用户发布”

Profile 感知

  • 有 Profile:从 Profile 提取完整人设特征,进行全维度对比。这是本 SKILL 的标准工作模式。
  • 无 Profile:无法工作。直接提示用户创建 Profile,说明所需内容(style、tone、personality),并终止执行。本 SKILL 是 Easel 中唯一强制要求 Profile 的 SKILL。

自研溯源与参考项目见同目录 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-persona-check of ZJU-REAL/Easel.

  • SKILL.md
  • EASEL-META.md

Open the folder on GitHubat commit 278f420

Compare with similar skills

Skill Persona Check 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 Persona Check compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Skill Persona Check this skillZJU-REAL/Easel3.4k—~937Automated safety check: PassApache-2.0
User Personasphuryn/pm-skills27k—~762Automated safety check: PassMIT
PersonaPrismer-AI/PrismerCloud1.6k—~1kAutomated safety check: PassMIT
Openclaw Persona Forgeaffaan-m/ECC277k—~1.6kAutomated safety check: PassMIT
Openclaw Persona Forgeaffaan-m/ECC276k—~1.6kAutomated safety check: PassMIT
Persona It Admingoogleworkspace/cli31k—~229Automated safety check: PassApache-2.0

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Questions about Skill Persona Check

What does Skill Persona Check do?

人设一致性检查与品牌调性检查:对比内容与创作者画像的账号定位、内容赛道、形式、受众、 风格和偏好, 输出一致性评分和具体偏离点。当用户说"符合我的人设吗"、"一致性检查"、"风格对不对"、 "像我写的吗"、"品牌一致"、"调性检查"、"这是我的风格吗"、"人设偏了没"、 "语气对不对"、"品牌声音检查"时触发。. Skill Persona Check is an agent skill from ZJU-REAL/Easel.

How do I install Skill Persona Check in Claude Code?

Run `npx skills add ZJU-REAL/Easel --skill skill-persona-check -a claude-code`. Or copy the skill folder (skills/openclaw/skill-persona-check in ZJU-REAL/Easel) into .claude/skills/skill-persona-check in your project. Claude Code loads it when a task matches its description.

How do I install Skill Persona Check in Codex?

Run `npx skills add ZJU-REAL/Easel --skill skill-persona-check -a codex`. Or copy the skill folder (skills/openclaw/skill-persona-check in ZJU-REAL/Easel) into .agents/skills/skill-persona-check in your project. Codex loads it when a task matches its description.

Can I use Skill Persona Check 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-persona-check -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-persona-check, .gemini/skills/skill-persona-check, .github/skills/skill-persona-check and .opencode/skills/skill-persona-check in your project.

What does Skill Persona Check need to run?

SKILL.md names no scripts, command-line tools or credentials: Skill Persona Check is instructions for the agent only.

Does Skill Persona Check 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 Persona Check 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 Persona Check use?

Skill Persona Check 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 Persona Check use?

About 937 tokens (SKILL.md is roughly 3.7k 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 Persona Check?

Skills that share tags, products or a category with Skill Persona Check: User Personas (phuryn/pm-skills, 27k stars), Persona (Prismer-AI/PrismerCloud, 1.6k stars), Openclaw Persona Forge (affaan-m/ECC, 277k stars) and Openclaw Persona Forge (affaan-m/ECC, 276k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Skill Persona Check?

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.