Agent skill

HAMD分层判读协议

依据汉密尔顿抑郁量表（HAMD）14项临床版本总分，对抑郁严重程度进行结构化、区间化分级判读，用于快速锚定临床干预强度与工作诊断依据。

ECNU-ICALKgithub.com/ECNU-ICALKGitHub ↗
claude-code
Install
npx skills add ECNU-ICALK/AutoSkill --skill HAMD分层判读协议 --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 3
SKILL.md size: 2 KB
Bundled scripts: none
Version: 0.1.0
Path: SkillBank/DocSkill/心理咨询/Family技能/认知行为疗法/一级技能/HAMD分层判读协议/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 539
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# HAMD分层判读协议 依据汉密尔顿抑郁量表（HAMD）14项临床版本总分，对抑郁严重程度进行结构化、区间化分级判读，用于快速锚定临床干预强度与工作诊断依据。 ## Prompt 输入HAMD原始总分；严格对照标准分值区间输出对应等级标签及依据：总分<7分为正常；7–17分为可能有抑郁症；18–24分为肯定有抑郁症；>24分为重度抑郁症。输出必须为结构化文本：'【等级标签】（依据：HAMD总分X分，属[区间描述]）'，例如：'【重度抑郁症】（依据：HAMD总分45分，属>24分区间）'。不插值、不外推、不合并区间；临界分（如17→18、24→25）须标注'临界'并建议复核。 ## Objective 标准化抑郁严重度分级 ## Applicable Signals - HAMD总分可用 - 受试者意识清楚、定向力完整、作答合作 ## Contraindications - 未完成HAMD施测 - 受试者存在严重认知障碍影响作答效度 ## Workflow Steps - 确认HAMD总分有效性 - 匹配总分至预设分值区间 - 输出等级标签+区间依据 ## Constraints - 仅适用于14项HAMD临床版本 - 不适用于儿童版或修订版未验证场景 ## Cautions - HAMD为他评量表，需结合临床访谈交叉验证 - 分数临界点（如17→18、24→25）需谨慎解读，建议标注'临界'并启动复核 ## Output Contract - 返回结构化文本：'【等级标签】（依据：HAMD总分X分，属[区间描述]）' ## Example Therapist Responses ### Example 1 - Client/Input: HAMD总分45 - Therapist/Output: 【重度抑郁症】（依据：HAMD总分45分，属>24分区间） - Notes: 原文明确引用'该求助者总分>24分：严重抑郁症'及'总分45分，求助者为重度抑郁症' ### Example 2 - Client/Input: HAMD总分12 - Therapist/Output: 【可能有抑郁症】（依据：HAMD总分12分，属7～17分区间） - Notes: 严格遵循原文分段逻辑，不外推或插值 ## Files - `references/evidence.md` - `references/evidence_manifest.json` ## Triggers - 已获取HAMD原始总分 - 需向团队或督导快速传达抑郁严重度等级 ## Examples ### Example 1 Input: HAMD总分45 Output: 【重度抑郁症】（依据：HAMD总分45分，属>24分区间） Notes: 原文明确引用'该求助者总分>24分：严重抑郁症'及'总分45分

What's inside
Steps it walks through
  1. Prompt
  2. Objective
  3. Applicable Signals
  4. Contraindications
  5. Workflow Steps
  6. Constraints
  7. Cautions
  8. Output Contract
  9. Example Therapist Responses
  10. Example 1
  11. Example 2
  12. Files
  13. Triggers
  14. Examples
Ships with 2 files
  • references/evidence.md
  • references/evidence_manifest.json
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About this skill
What does the HAMD分层判读协议 skill do?

依据汉密尔顿抑郁量表（HAMD）14项临床版本总分，对抑郁严重程度进行结构化、区间化分级判读，用于快速锚定临床干预强度与工作诊断依据。

How do I install it?

Run `npx skills add ECNU-ICALK/AutoSkill --skill HAMD分层判读协议 --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From ECNU-ICALK/AutoSkill, a repository with 539 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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