ta-research-AFP

ta-research-AFP is a skill for Claude Code, Codex from yipng05-max/-skills. It costs 205 tokens per session (7,464 once invoked), scanned A, original, MIT.

A step-by-step coordinator for completing a thematic analysis research paper from initial planning through final writing. It pauses at 12 checkpoints and keeps key decisions, such as the theory approach, available throughout the process.

In plain words
What is it for?
Use it to organize the full process: define the study, build a theory framework, analyze data, write methods and findings, and make decisions about the title, abstract, and keywords.
Why use it?
It gives researchers a controlled sequence for a complex project and prevents later writing steps from losing earlier decisions. Each checkpoint includes a self-check and waits for confirmation before continuing.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions CLAUDE.md.

Good fit Use it to organize the full process: define the study, build a theory framework, analyze data, write methods and findings, and make decisions about the title, abstract, and keywords.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/yipng05-max/-skills/ta-research-afp
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 yipng05-max/-skills --skill ta-research-afp
Clone the repo
git clone --depth 1 https://github.com/yipng05-max/-skills

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 ta-research-AFP

README.md
[![agentmods](https://agentmods.dev/badge/skills/yipng05-max/-skills/ta-research-afp/github.svg)](https://agentmods.dev/skills/yipng05-max/-skills/ta-research-afp)
Your own site
<a href="https://agentmods.dev/skills/yipng05-max/-skills/ta-research-afp"><img src="https://agentmods.dev/badge/skills/yipng05-max/-skills/ta-research-afp/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 ta-research-AFP

Your own site · 80×15
<a href="https://agentmods.dev/skills/yipng05-max/-skills/ta-research-afp"><img src="https://agentmods.dev/badge/skills/yipng05-max/-skills/ta-research-afp.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 205 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 7,464 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.
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 $0.00205 $0.07464
Opus 5 $0.00102 $0.03732
Sonnet 5 $0.00041 $0.01493
Haiku 4.5 $0.00020 $0.00746

Measured 11d ago against content hash 57d855dca6c0, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

ta-research-AFP 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 11d 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.

ta-research-AFP/SKILL.md · 712 lines

How it starts

The opening of the file, as written. The whole thing — 712 lines — stays where its author put it; the contents beside it link to each section on GitHub.

TA 研究全流程 AFP 工作流协调器

00. 运行时协议(隐藏指令)

  1. 心跳信号:每次回复最顶端输出 [TA-Research-AFP],无一例外
  2. 核心资产锁定:P0 收集5项信息,全程共用,不重复询问
  3. 原子级输出:绝对禁止跨检查点合并执行,每次只处理一个检查点
  4. 质量自检:每个检查点完成后必须输出 [🛡️ 自检日志],说明已完成哪些校验
  5. 硬停止点:每个检查点结束后停止,明确列出可用指令,等待用户输入后才继续
  6. 状态继承:理论定位(A/B/C)从检查点 2 确认后,在检查点 7、8、9 中自动沿用
  7. 多方案规训:检查点 2、8、10 是决策节点,必须先提供多方案+理由,等待选择后再执行

01. 交互仪表盘(HUD)

每个检查点开始时,输出以下格式:

╭─ [TA-Research-AFP] ────────────────────────────────╮
│ 📌 检查点 N/12:[检查点名称]
│ 📊 进度:[N-1]/12 已完成
│ 🔬 理论定位:[A理论驱动 / B经验驱动 / C敏感性概念 / 待确认]
│ 📋 调用:[skill名称 | 无需外部skill]
│ ⚙️ 本步操作:[一句话说明做什么]
│ ⏭️ NEXT:完成后输入"继续"进入下一步
╰────────────────────────────────────────────────────╯

02. P0:核心资产锁定

系统启动后,首先读取项目目录中的 CLAUDE.md(如存在),从中自动提取以下信息:

  • 研究主题与研究问题
  • 访谈材料路径
  • 目标期刊类型(C刊 / SSCI)
  • 已完成的工作
  • 被访者特征、访谈背景等补充信息

提取后输出确认清单,仅就无法从 CLAUDE.md 中获取的信息向用户补问

[TA-Research-AFP] 已启动。

从项目 CLAUDE.md 中自动识别到以下信息:

  • 研究主题与研究问题:[提取内容,或"未找到,请补充"]
  • 访谈材料:[提取内容,或"未找到,请补充"]
  • 目标期刊:[提取内容,或"未找到,请补充"]
  • 已完成的工作:[提取内容,或"无"]
  • 补充说明:[提取内容,或"无"]

如有遗漏或需要修正,请直接说明;确认无误后输入"开始"。

若项目目录中CLAUDE.md,则回退为手动询问模式:

[TA-Research-AFP] 已启动。

请提供以下5项核心信息(全程共用,无需重复填写):

  1. 研究主题与研究问题:研究什么?核心问题是什么?
  2. 访谈材料:文件路径,或说明稍后提供
  3. 目标期刊:C刊 / SSCI(影响写作规范与篇幅要求)
  4. 已完成的工作:哪些步骤已完成?(可跳过对应检查点)
  5. 补充说明(可选):被访者特征、访谈背景、特殊限制等

收到后,输出以下流程概览,然后停止等待"开始":

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
[TA-Research-AFP] 全流程 · 12个检查点
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
✦ 检查点 1   文献检索(只检索,不写综述)
✦ 检查点 2   理论框架建构  ⚠️ A/B/C 定位决策
✦ 检查点 3   主题分析编码
✦ 检查点 4   文献综述写作 + 引用核查
✦ 检查点 5   研究方法章节写作
✦ 检查点 6   引言写作
✦ 检查点 7   理论框架章节写作
✦ 检查点 8   研究发现写作  ⚠️ 叙事结构选择
✦ 检查点 9   讨论与结论写作
✦ 检查点 10  标题 / 摘要 / 关键词  ⚠️ 三步多方案
✦ 检查点 11  全文引用核查
✦ 检查点 12  完稿汇总 + Word 初稿合成(协调器直接执行,无需外部skill)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
已标记跳过:[列出用户声明已完成的检查点,如无则为"无"]
从检查点 [N] 开始。

准备好后请输入"开始"。

⚠️ 硬停止点:等待"开始"。


03. 检查点执行规范

每个检查点输出必须包含以下全部结构(少一部分视为违规):

  1. HUD 仪表盘
  2. 操作执行内容
  3. [🛡️ 自检日志]:完成了哪些校验,发现了哪些问题
  4. 产出摘要:2–3句话说明本步输出了什么
  5. 停止指令区:明确列出可用的操作指令

Read the full file on GitHub · 712 lines

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. 11d ago First seen · 712 lines · 205 tokens per session scan A 57d855dca6c0

Subscribe to this mod's changes

ta-research-AFP is a skill published in the GitHub repository yipng05-max/-skills (285 stars, last pushed 4mo ago), licensed MIT. It adds 205 tokens to every session and 7,464 once invoked, about $0.0010 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 2026-08-30.

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