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.
npx skills add yipng05-max/-skills --skill concept-clarifiergit clone --depth 1 https://github.com/yipng05-max/-skillsWrote 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.
[](https://agentmods.dev/skills/yipng05-max/-skills/concept-clarifier)<a href="https://agentmods.dev/skills/yipng05-max/-skills/concept-clarifier"><img src="https://agentmods.dev/badge/skills/yipng05-max/-skills/concept-clarifier/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.
<a href="https://agentmods.dev/skills/yipng05-max/-skills/concept-clarifier"><img src="https://agentmods.dev/badge/skills/yipng05-max/-skills/concept-clarifier.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00170 | $0.02230 |
| Opus 5 | $0.00085 | $0.01115 |
| Sonnet 5 | $0.00034 | $0.00446 |
| Haiku 4.5 | $0.00017 | $0.00223 |
Grade A, and why
concept-clarifier 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 9d 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.
How it starts
The opening of the file, as written. The whole thing — 210 lines — stays where its author put it; the contents beside it link to each section on GitHub.
概念辨析工具(Concept Clarifier)
本 skill 基于社会学概念分析的经典传统(Sartori 的梯子逻辑、Gerring 的概念评估标准), 协助研究者理解概念的理论谱系、内部张力与使用边界,防止概念混用和标签化使用。
核心立场:概念不是中性的描述工具,而是理论的凝结物。 使用一个概念,就是接受它背后的理论预设。不了解预设,就无法判断概念是否适用。
启动:获取必要信息
触发后,收集以下信息:
必填 1:需要辨析的概念(一个或多个)
单个概念(深度解析)或多个概念(比较辨析),例如:
- 单个:"请帮我深度解析'制度逻辑'这个概念"
- 多个:"'话语''叙事''框架'这三个概念有什么实质区别?"
- 应用场景:"我想在研究中用'监控'这个概念,但不确定是福柯的监控还是Zuboff的监控资本主义"
选填 2:使用场景
用户打算在什么研究情境中使用这些概念?有助于评估适用性。
选填 3:已有认识
用户对这些概念已有的理解(方便识别认知误区)。
执行流程
根据输入类型,选择对应执行路径:
- 单概念:执行"深度解析模式"
- 多概念比较:执行"比较辨析模式"
- 应用场景判断:执行"适用性评估模式"
三种模式可以组合,但优先完成用户最需要的部分。
模式一:深度解析模式(单概念)
对单个概念进行完整的理论解剖,按以下七个维度展开:
维度 1:概念的来源与原初语境
- 这个概念由谁提出?在什么学术语境中发展起来?
- 提出者试图用这个概念解决什么理论问题?
- 原初语境中,这个概念的"对立面"是什么?(概念往往通过与对立物的区分来定义自身)
说明为什么这很重要:同一个词在不同作者笔下可能指称完全不同的机制。 例如"场域"在布迪厄那里是关系性的竞争空间,在某些中国研究中却被用作"领域"的同义词。
维度 2:核心定义与关键要素
- 最严格的定义是什么?(引用原著表述,而非教科书简化版)
- 这个定义包含哪些不可缺少的要素?
- 哪些用法是对原始定义的过度简化或错误延伸?
维度 3:概念的理论预设
这个概念背后预设了什么?包括:
- 本体论预设:这个概念假设什么样的社会实在?(个体主义 vs 整体主义?实体 vs 关系?)
- 认识论预设:使用这个概念隐含着什么认识论立场?
- 机制预设:这个概念隐含了什么因果或解释机制?
接受一个概念,就是接受这些预设。如果研究者的认识论立场与概念预设不兼容,使用该概念会产生内在矛盾。
维度 4:概念的演变与争议
- 这个概念如何在不同作者、不同传统中被修正、扩展或批判?
- 目前学界围绕这个概念有哪些主要争议?
- 哪些修正版本最具代表性?与原始版本的核心差异是什么?
维度 5:边界条件
- 这个概念在什么情境下成立?在什么情境下失效?
- 哪些案例或现象构成该概念的边界挑战?
- 是否存在"貌似符合但实际不符合"的常见误用情境?
维度 6:操作化指引
- 在实证研究中,这个概念通常通过什么方式观察或测量?
- 定性研究中,什么样的资料(访谈话语/观察记录/文本/行动)构成该概念的经验证据?
- 操作化时最容易犯的错误是什么?
维度 7:近似概念对比
- 有哪些概念经常与之混用?
- 这些概念与本概念的关键区分在哪里?
- 用一个判断规则帮助研究者在实际使用中区分:
"当你的分析关注 [X] 时用 [概念A];当关注 [Y] 时用 [概念B]。"
输出格式(深度解析模式):
【概念深度解析:[概念名称]】
来源与原初语境:
核心定义(原著表述):
关键要素(不可缺少的部分):
理论预设(本体论/认识论/机制):
主要演变与争议:
边界条件:
操作化指引:
与近似概念的区分:
模式二:比较辨析模式(多概念)
对两个或多个概念进行系统比较,重点在于实质差异而非表面差异:
步骤 1:各概念的简要定位
每个概念用 3-5 句话定位其核心内涵和理论来源(简版)。
步骤 2:逐维度比较
| 比较维度 | 概念 A | 概念 B | 概念 C(如有) |
|---|---|---|---|
| 理论传统 | |||
| 分析单位 | |||
| 核心机制 | |||
| 本体论预设 | |||
| 典型应用场景 | |||
| 能否替换使用 |
步骤 3:判断规则
给出清晰的使用判断规则:
"当你的研究问题关注 [X 类型的现象/机制/关系] 时,应使用 [概念A]; 当关注 [Y 类型] 时,应使用 [概念B]; 当两者兼有时,需要说明……"
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.
- 9d ago First seen · 210 lines · 170 tokens per session scan A 86f2159f7555
concept-clarifier is a skill published in the GitHub repository yipng05-max/-skills (285 stars, last pushed 4mo ago), licensed MIT. It adds 170 tokens to every session and 2,230 once invoked, about $0.0009 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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