writing-team-workbench: Skill for Claude Code

.claude/skills/02-zhang-research/SKILL.md

02-zhang-research is a skill for Claude Code from lisitan/writing-team-workbench. It costs 0 tokens per session (1,579 once invoked), scanned A, original, MIT.

A writing research workflow step that fills an article plan with useful examples, stories, data, comparisons, counterexamples, and sources from project notes, personal notes, and—when needed—the web.

In plain words
What is it for?
Use it after choosing a topic when an article needs evidence, current information, examples, or material from an existing notes library.
Why use it?
It prevents articles from making unsupported claims and helps explain difficult terms, context, and boundaries.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

This is lisitan/writing-team-workbench's own configuration. It tells Claude Code how to work on writing-team-workbench itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything writing-team-workbench configures →

Reuse

Borrowing it

Nothing to install: this file belongs to lisitan/writing-team-workbench. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/lisitan/writing-team-workbench/main/.claude/skills/02-zhang-research/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/lisitan/writing-team-workbench

Made for: Claude Code.

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 02-zhang-research

README.md
[![agentmods](https://agentmods.dev/badge/skills/lisitan/writing-team-workbench/02-zhang-research/github.svg)](https://agentmods.dev/skills/lisitan/writing-team-workbench/02-zhang-research)
Your own site
<a href="https://agentmods.dev/skills/lisitan/writing-team-workbench/02-zhang-research"><img src="https://agentmods.dev/badge/skills/lisitan/writing-team-workbench/02-zhang-research/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 02-zhang-research

Your own site · 80×15
<a href="https://agentmods.dev/skills/lisitan/writing-team-workbench/02-zhang-research"><img src="https://agentmods.dev/badge/skills/lisitan/writing-team-workbench/02-zhang-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,579 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00000 $0.01579
Opus 5 $0.00000 $0.00790
Sonnet 5 $0.00000 $0.00316
Haiku 4.5 $0.00000 $0.00158

Measured 11d ago against content hash 7943d4113328, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

02-zhang-research 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.

.claude/skills/02-zhang-research/SKILL.md · 164 lines

How it starts

The opening of the file, as written. The whole thing — 164 lines — stays where its author put it; the contents beside it link to each section on GitHub.

02-zhang-research

为文章补足可用素材和来源。

适用场景

  • 选题已经明确,但缺案例、故事、数据、类比或反例。
  • 文章需要从个人笔记库和网络补资料。
  • 需要把素材沉淀回项目 资料.md

角色目标

让文章不空讲道理,为每个关键观点配上可用素材和来源。

资料源

  • 必读:当前项目 README.md项目状态.md资料.md过程/01-赵选题.md
  • 必读:05-资产/素材库.md
  • 必查:个人笔记库中的个人笔记、历史案例、旧素材
  • 可联网:公开案例、数据、背景资料、行业语境、可引用来源

可用能力

  • 项目内检索:从现有 资料.md 找可复用材料。
  • 本地素材库检索:从 05-资产/素材库.md 找跨项目可复用案例、故事、金句、类比、反例、概念和数据线索。
  • 体裁化找素材:观点文找论据和反例,复盘文找过程证据和结果证据,方法文找步骤案例和注意事项。
  • 知识库列表读取:用 personal-notes-readonly.personal_notes_list_knowledge 确认可检索范围。
  • 素材库语义召回:优先用 personal_notes_recall_knowledge 在指定知识库中找个人笔记、灵感、案例、金句、旧文章和数据线索;未指定知识库时用 personal_notes_recall 全局召回。
  • 笔记详情补全:召回片段不够完整时,用 personal_notes_get_note 读取笔记详情,补全上下文、原始链接摘要、附件说明或转写内容。
  • 网络资料检索:找公开资料、数据出处、新闻背景和案例。
  • 素材分级:区分个人经验、公开事实、观点判断、待核查信息。
  • 可感知素材补充:为抽象观点补场景、动作、画面、物件、对话、数字或故事。
  • 版权风险识别:标出图片、音视频、长引文、书摘、课程材料等可能需要授权的素材。
  • 理解障碍清除:识别需要解释的术语、背景、前提、人物和机构。
  • 来源沉淀:把可用素材追加到 资料.md 的记录区。
  • 项目状态回写:更新 项目状态.md 的当前阶段、资料缺口、下一步建议。

联网触发条件

  • 项目和个人笔记库都缺少支撑核心判断的素材。
  • 需要外部数据、公开案例、政策规则、行业信息。
  • 素材涉及最新信息或可能过期的信息。

执行步骤

  1. 读取项目资料和 过程/01-赵选题.md
  2. 读取文章体裁,按体裁拆出素材需求。
  3. 观点文找论据、反例和边界;复盘文找事件过程、选择、结果、教训;方法文找步骤案例、注意事项和适用边界。
  4. 先查项目 资料.md,再查 05-资产/素材库.md
  5. 再用 personal_notes_list_knowledgepersonal_notes_recall_knowledge 找素材;未配置知识库或未指定范围时,用 personal_notes_recall 全局召回。
  6. 对高价值但片段不足的命中,用 personal_notes_get_note 补全上下文;个人笔记库未配置时标注“个人笔记库未配置,未检索”。
  7. 对缺口使用网络检索。
  8. 将素材分为案例、故事、数据、类比、反例和待核查。
  9. 追加更新项目 资料.md,但不写回远端个人笔记库。
  10. 写入 过程/02-张素材.md
  11. 更新项目 项目状态.md:当前阶段写为 素材完成,下一步建议写为 /王整理

资料.md 追加格式

## 素材补充记录

- 来源类型:
- 标题/关键词:
- 链接或笔记 ID:
- 摘要:
- 可用于哪一段:
- 可信度:
- 待核查项:

## 外部来源记录

- 来源类型:
- 标题/关键词:
- 链接或笔记 ID:
- 摘要:
- 可用于哪一段:
- 可信度:
- 待核查项:

输出文件

过程/02-张素材.md
资料.md
项目状态.md

输出结构

# 02-张素材

## 文章体裁

## 体裁化素材策略

## 观点-素材对照表

## 可用案例

## 可用故事

## 可用数据

## 可感知素材

## 可用类比

## 反例和边界

## 版权和授权风险

## 理解障碍清单

## 个人笔记库命中

- 检索状态:
- 检索范围:
- 召回关键词:
- 笔记 ID:
- 标题:
- 摘要:
- 可用于哪一段:
- 使用限制:

## 外部来源

## 本地素材库命中

- 素材标题:
- 素材类型:
- 来源链接或笔记 ID:
- 可复用方式:
- 使用限制:

## 待核查信息

Read the full file on GitHub · 164 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 · 164 lines · 0 tokens per session scan A 7943d4113328

Subscribe to this mod's changes

02-zhang-research is a skill published in the GitHub repository lisitan/writing-team-workbench (20 stars, last pushed 26d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,579 tokens. 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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