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Agent Skill · 待分类

grad-tpb(毕业证书)

grad-tpb 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

grad-tpb 是待分类类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;许可证信息还不明确,第三方扫描已通过,按安装量在待分类类的 11,209 个 Skill 里排第 7,593。

总安装 353周安装 15GitHub Stars 125下载 124核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:grad-tpb(毕业证书)
来源仓库:https://github.com/asgard-ai-platform/skills
仓库路径:skills/grad-tpb
安装命令:
npx skills add https://github.com/asgard-ai-platform/skills --skill grad-tpb
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/asgard-ai-platform/skills --skill grad-tpb

这个 Skill 是做什么的

这个 Skill 的分类还没最终确定,用法以来源仓库的说明为准。

grad-tpb 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息。适合在 Codex、Claude、Cursor、Gemini CLI 中围绕仓库状态、代码变更或协作事项进行整理。通过 npx skills add 命令从指定 GitHub 仓库安装并使用。

安装前需确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。grad-tpb 属于待分类类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/grad-tpb

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/asgard-ai-platform/skills --skill grad-tpb;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

grad-tpb 怎么安装?

在终端执行 npx skills add https://github.com/asgard-ai-platform/skills --skill grad-tpb。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

grad-tpb 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

grad-tpb 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

grad-tpb 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

grad-tpb 用的人多吗?

公开数据是累计安装 353 次,近一周安装 15 次,下载 124 次,GitHub 125 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

grad-tpb 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理待分类类任务、又不想每次都手写提示词的人。
  • 只想先试试效果、不希望它改动本地文件的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

待分类类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
infsh-cli

infsh CLI · Codex、Claude

4,374,576382权限未标注未明确未收录
ai-video-generation

AI 视频生成 · Codex、Claude

4,313,376382调用外部服务未明确有提醒
lark-openapi-explorer

云雀 OpenAPI 浏览器 · Codex、Claude

2,064,1209,011需要联网未明确有提醒
lark-workflow-standup-report

Lark 工作流程站立报告 · Codex、Claude

2,041,6328,978需要联网未明确通过
use-my-browser

使用我的浏览器 · Codex、Claude

1,848,49140操作浏览器未明确未通过
grad-tpb

毕业证书 · 本页

353125只读未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Theory of Planned Behavior (TPB)

Overview

The Theory of Planned Behavior (Ajzen, 1991) extends the Theory of Reasoned Action by adding perceived behavioral control as a predictor of both intention and behavior. Behavioral intention is determined by three factors: attitude toward the behavior, subjective norms, and perceived behavioral control. Intention is the proximal predictor of behavior, moderated by actual control.

When to Use

  • Predicting whether a target population will adopt a new behavior (health, technology, policy)
  • Diagnosing the intention-behavior gap — why people intend to act but do not follow through
  • Designing persuasion or behavior change interventions by targeting the weakest predictor
  • Evaluating campaign effectiveness on attitude, norm, and control dimensions

When NOT to Use

  • For habitual or automatic behaviors where intention plays a minimal role
  • When behavior is primarily driven by unconscious or emotional processes (use dual-process models)
  • For behaviors under complete external control (no volitional component)

Assumptions

IRON LAW: Intention predicts behavior ONLY when perceived
behavioral control is high — without actual control, intention
alone is insufficient. The intention-behavior gap widens as
volitional control decreases.

Key assumptions:

  1. People make reasoned (though not necessarily rational) decisions based on available information
  2. Behavioral beliefs, normative beliefs, and control beliefs are the informational foundations
  3. The relative weight of attitude, norms, and PBC varies across behaviors and populations

Methodology

Step 1 — Specify the Target Behavior

Define the behavior precisely using the TACT framework:

  • Target: at what object or person
  • Action: what specific action
  • Context: in what situation
  • Time: in what time frame

Step 2 — Measure the Three Predictors

PredictorDefinitionUnderlying Beliefs
AttitudeFavorable/unfavorable evaluation of performing the behaviorBehavioral beliefs (outcomes x evaluations)
Subjective normsPerceived social pressure to perform or not performNormative beliefs (referents x motivation to comply)
Perceived behavioral control (PBC)Perceived ease or difficulty of performing the behaviorControl beliefs (facilitators/barriers x power)

Step 3 — Assess Intention and the Intention-Behavior Gap

  • Measure behavioral intention as a function of the three predictors
  • Identify which predictor is the weakest link (highest leverage for intervention)
  • Evaluate actual behavioral control to assess gap risk

Step 4 — Design Targeted Intervention

  • Attitude-focused: provide new outcome information, reframe consequences
  • Norm-focused: make social norms visible, use social proof, engage opinion leaders
  • PBC-focused: reduce barriers, build self-efficacy, provide skills training
  • Implementation intentions: bridge the intention-behavior gap with "if-then" planning

Output Format

## TPB Analysis: [Target Behavior]

### Behavior Specification (TACT)
- Target: [object/person]
- Action: [specific behavior]
- Context: [situation]
- Time: [time frame]

### Predictor Assessment
| Predictor | Score | Key Beliefs | Intervention Potential |
|-----------|-------|-------------|----------------------|
| Attitude | [+/-] | [salient beliefs] | [High/Medium/Low] |
| Subjective norms | [+/-] | [key referents] | [High/Medium/Low] |
| PBC | [+/-] | [barriers/facilitators] | [High/Medium/Low] |

### Intention Strength: [Strong/Moderate/Weak]
### Intention-Behavior Gap Risk: [High/Medium/Low]

### Recommended Intervention
1. [Primary lever: weakest predictor]
2. [Implementation intention strategy]
3. [Barrier removal or facilitator enhancement]

Gotchas

  • TPB assumes rational information processing; it underestimates the role of emotions, habits, and unconscious drivers
  • Subjective norms are consistently the weakest predictor in meta-analyses — but this may reflect measurement issues rather than true irrelevance
  • Past behavior often explains more variance than TPB constructs, suggesting habit and automaticity are under-represented
  • PBC is not the same as actual control — people systematically overestimate or underestimate their control
  • The theory works best for deliberate, one-time decisions; for recurring behaviors, habit formation models should supplement TPB
  • Cross-cultural application requires recalibrating normative beliefs — collectivist cultures weight subjective norms more heavily

References

  • Ajzen, I. (1991). The theory of planned behavior. *Organizational Behavior and Human Decision Processes*, 50(2), 179-211.
  • Armitage, C. J. & Conner, M. (2001). Efficacy of the theory of planned behaviour: a meta-analytic review. *British Journal of Social Psychology*, 40(4), 471-499.
  • Fishbein, M. & Ajzen, I. (2010). *Predicting and changing behavior: the reasoned action approach*. Psychology Press.

平台分布

Codex

34.08%
按下载量换算42

Claude

32.51%
按下载量换算40

Cursor

17.56%
按下载量换算22

Gemini CLI

9.65%
按下载量换算12

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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