curatorial-topic-framing

curatorial-topic-framing is a skill for Claude Code, Codex from wuyaojunkylin/research-digital-curation-skills. It costs 91 tokens per session (554 once invoked), scanned A, original, MIT.

A planning guide for defining what a research-based digital exhibition is about, who it is for, and which materials belong in it. It also sets boundaries for the project’s current stage.

In plain words
What is it for?
For choosing the exhibition subject, audience, entry point, evidence boundaries, exclusions, project phase, and next planning document.
Why use it?
It helps turn a broad interest or pile of research material into a clear exhibition subject. It reduces the risk of making the project too broad or focusing on pages and visuals too early.

Skill for Claude CodeCodex

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

Good fit For choosing the exhibition subject, audience, entry point, evidence boundaries, exclusions, project phase, and next planning document.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/wuyaojunkylin/research-digital-curation-skills/curatorial-topic-framing
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 wuyaojunkylin/research-digital-curation-skills --skill curatorial-topic-framing
Clone the repo
git clone --depth 1 https://github.com/wuyaojunkylin/research-digital-curation-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 curatorial-topic-framing

README.md
[![agentmods](https://agentmods.dev/badge/skills/wuyaojunkylin/research-digital-curation-skills/curatorial-topic-framing/github.svg)](https://agentmods.dev/skills/wuyaojunkylin/research-digital-curation-skills/curatorial-topic-framing)
Your own site
<a href="https://agentmods.dev/skills/wuyaojunkylin/research-digital-curation-skills/curatorial-topic-framing"><img src="https://agentmods.dev/badge/skills/wuyaojunkylin/research-digital-curation-skills/curatorial-topic-framing/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 curatorial-topic-framing

Your own site · 80×15
<a href="https://agentmods.dev/skills/wuyaojunkylin/research-digital-curation-skills/curatorial-topic-framing"><img src="https://agentmods.dev/badge/skills/wuyaojunkylin/research-digital-curation-skills/curatorial-topic-framing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 91 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 554 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 $0.00091 $0.00554
Opus 5 $0.00046 $0.00277
Sonnet 5 $0.00018 $0.00111
Haiku 4.5 $0.00009 $0.00055

Measured 11d ago against content hash 247155b06bd2, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

curatorial-topic-framing 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.

curatorial-topic-framing/SKILL.md · 44 lines

What it actually says

策展选题与对象界定

概述

使用这个 skill 把模糊兴趣转化为清楚的策展对象。目标不是无限发散选题,而是确认展览真正研究什么、观众从哪里进入、哪些材料进入范围、当前阶段应产出什么。

核心问题

进入页面设计之前,先回答这些问题:

  • 策展对象是什么:城市、机构、人物、物件组、档案、事件、路线、社会机制、地方记忆,还是某种材料系统?
  • 观众通过什么尺度进入:人物、物件、地点、时段、路径、案例、文档、问题,还是感官经验?
  • 进入尺度背后的真正主体是什么?
  • 项目最终要让观众看见什么?
  • 当前有哪些材料可靠、缺失、存疑或不应进入?
  • 当前阶段边界是什么:概念说明、内容大纲、页面原型、标准页、公开发布,还是方法回收?

工作步骤

  1. 整理用户的兴趣、材料和既有想法,先不预设最终网页形式。
  2. 提取 2 到 4 个可能的策展对象。
  3. 分别判断每个对象的进入尺度、真实主体、证据条件、观众和风险。
  4. 推荐一个主 framing,并说明为什么它更稳。
  5. 写出短版项目前提和阶段边界。

输出

输出一份简洁的定题说明,包含:项目对象、进入尺度、真实主体、目标观众、材料边界、排除方向、阶段目标和下一步应创建的文档。

常见偏差

需要警惕这些情况:

  • 人物成为全部故事,背后的结构消失。
  • 材料变成数据库,缺少策展判断。
  • 历史图像或视觉复原变成项目成立的理由。
  • 主题过宽,每一页都必须重新解释全部背景。
  • 在策展对象稳定之前,先决定网页交互和视觉风格。
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 · 44 lines · 91 tokens per session scan A 247155b06bd2

Subscribe to this mod's changes

curatorial-topic-framing is a skill published in the GitHub repository wuyaojunkylin/research-digital-curation-skills (3 stars, last pushed 4mo ago), licensed MIT. It adds 91 tokens to every session and 554 once invoked, about $0.0005 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 2026-08-31.

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