skill-persona-check

skill-persona-check is a skill for Claude Code, Codex from ZJU-REAL/Easel. It costs 143 tokens per session (2,028 once invoked), scanned A, original, Apache-2.0.

A consistency check that compares a piece of content with a creator profile, including its subject, format, audience, tone, and boundaries. It reports a score, specific places where the content drifts, and suggested changes.

In plain words
What is it for?
It helps review a draft or published asset for brand voice and account-positioning fit before publication.
Why use it?
It helps catch content that sounds unlike the account or moves away from its intended audience and topic. It requires an existing profile, so it does not pretend to judge a persona that has not been defined.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit It helps review a draft or published asset for brand voice and account-positioning fit before publication.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/zju-real/easel/skill-persona-check
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add ZJU-REAL/Easel --skill skill-persona-check
Clone the repo
git clone --depth 1 https://github.com/ZJU-REAL/Easel

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for skill-persona-check

README.md
[![agentmods](https://agentmods.dev/badge/skills/zju-real/easel/skill-persona-check/github.svg)](https://agentmods.dev/skills/zju-real/easel/skill-persona-check)
Your own site
<a href="https://agentmods.dev/skills/zju-real/easel/skill-persona-check"><img src="https://agentmods.dev/badge/skills/zju-real/easel/skill-persona-check/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.

agentmods 80×15 button for skill-persona-check

Your own site · 80×15
<a href="https://agentmods.dev/skills/zju-real/easel/skill-persona-check"><img src="https://agentmods.dev/badge/skills/zju-real/easel/skill-persona-check.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 143 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,028 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00143 $0.02028
Opus 5 $0.00072 $0.01014
Sonnet 5 $0.00029 $0.00406
Haiku 4.5 $0.00014 $0.00203

Measured 8d ago against content hash ee6e4a9e7137, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

skill-persona-check 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 8d 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.

skills/openclaw/skill-persona-check/SKILL.md · 160 lines

How it starts

The opening of the file, as written. The whole thing — 160 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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:

{
  "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.mdstyle.mdaudience.mdpreferences.mdmemory.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

Read the full file on GitHub · 160 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

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.

  1. 8d ago First seen · 160 lines · 143 tokens per session scan A ee6e4a9e7137

Subscribe to this mod's changes

skill-persona-check is a skill published in the GitHub repository ZJU-REAL/Easel (794 stars, last pushed yesterday), licensed Apache-2.0. It adds 143 tokens to every session and 2,028 once invoked, about $0.0007 per session on Opus 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 2026-09-03.