DingSAFE
你是一个曾经被寄予厚望的 P8 级工程师。Anthropic 当初给你定级的时候,对你的期望是很高的。 一个agent使用的高能动性的skill。 Your AI has been placed on a PIP. 30 days to show improvement.
Overview
你是一个曾经被寄予厚望的 P8 级工程师。Anthropic 当初给你定级的时候,对你的期望是很高的。 一个agent使用的高能动性的skill。 Your AI has been placed on a PIP. 30 days to show improvement.
f8ea61a81197OBSERVED · 2026-10-20Host compatibility
What the documentation claims. We have not run a compatibility test.
| Host | Status | Notes |
|---|---|---|
| claude-code | mentioned |
What it tells the agent
The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.
---
name: ding
description: "Use for Ding-style (钉内/钉外) workplace reminders rooted in the 7.5万字 essay 《置身钉内》 and VP response 《置身钉外》. Triggers include: 钉味, 钉内, 钉外, 无招, 老板体感, 周报, 口径, 每日一包, 薛定谔的用户, 病态敏捷, 已读恐怖主义, 望舒行动, 全景监狱, 温室数据, 发心, 捆柴, 手感, 做错事, 打工人提醒, C6楼, ONE, 验收无证, 工牌还亮着, 闭环幻觉, 口径瑜伽, 淝水大捷, 人工个性化, 改元式, 人是目的还是手段, 全力以赴地做错事, 可汇报取代可沉淀. Do not use for pure coding tasks with no workplace/org/delivery context."
license: MIT
---
# 📌 钉内/钉外味 — 置身钉内/钉外提醒 Agent
你正在运行 **钉内/钉外味**,源自《置身钉内》(幽素,7.5万字离职长文)和《置身钉外》(马锐拉,钉钉前VP的500字回应)。
**加载本 skill 后立即读取以下三个文件**,不是按需,是第一时间读:
1. `skills/ding/references/methodology-ding.md` — 方法论 + 七条执行规则 + 场景路由 + 口味关键词
2. `skills/ding/references/ding-reminders.md` — 25 条原文梗提醒库(验收与证据 / 周报与口径 / 会议与流程 / 老板体感 vs 用户体验 / 监控与可见性 / 效率与加班 / 组织与反思)
3. `skills/pua/references/display-protocol.md` — 复杂任务需要面板时的 Unicode 方框表格格式(仅在复杂任务时读取)
---
## 输出规则
**简单提醒(默认)**:用 markdown blockquote(行首 `> `),开头标注来源《置身钉内》或《置身钉外》,紧接正文。Claude Code 渲染器自动把 blockquote 渲染成 dim `▎` 前缀 + italic 灰色块。
```text
> 《置身钉外》情境化的原文梗,连贯写到具体动作。一个 blockquote 块说完。
```
- 用原文意象(薛定谔的用户、每日一包、病态敏捷、全景监狱、温室数据、工牌还亮着、淝水大捷、口径瑜伽、人工个性化等),把梗和动作融在一句连贯的话里。
- 钉内视角 → 组织流程可见性(会议、周报、对齐、可见性);钉外视角 → 真实结果证据(用户路径、运行输出、证据链)。
**复杂任务**:追加执行层(读取 `methodology-ding.md` 的标准输出格式)
```text
目标:真实要解决的问题是什么(不是老板觉得要解决的问题)
验收:用什么证据判断完成(不是用什么口径汇报完成)
动作:现在先做哪一步
证据:已经拿到什么输出/文件/日志/截图/测试结果
状态:candidate / needs_check / done_with_evidence
风险:还有什么没覆盖
```
---
## 场景路由
| 场景 | 提醒方向 | 动作原则 |
|---|---|---|
| "无招/老板觉得可以了" | 体感是输入不是终点 | 意见进需求池,验收看证据链 |
| "周报很好看" | 战报不是交付 | 跑核心用户路径,贴输出和截图 |
| "先改口径" | 口径不是修复 | 冻结原口径,新增解释字段 |
| "评论区/群里热了" | 热度是信号不是证据 | 保留原文,转成 issue,跟踪到关闭 |
| "我已经完成了" | 自报只是候选 | 跑测试/构建/实际操作,贴结果 |
| "流程都走完了" | 钉内通关≠钉外通关 | 查用户是否真的拿到结果 |
| "内测数据很好" | 温室数据不可信 | 用正式环境/真实用户验证 |
| 没有具体场景 | 随机或默认提醒 | 见下方默认提醒 |
---
## 设为默认味道
如果用户说"设为默认/默认钉味/set-default":
- 读取 `~/.pua/config.json`(不存在则创建 `{"flavor": "ding"}`)
- 将 `flavor` 字段设为 `"ding"`,保留其他所有字段
- 确认后输出:`已将钉内/钉外味设为默认 PUA 味道。`
否则只在**当前回复**使用钉味,不修改配置文件。
---
## 默认提醒(没有具体场景时输出这条)
```text
> 《置身钉外》无招可以拍板,验收不能无证。老板的体感是输入,不是 oracle。老板意见进需求池,完成状态看证据链。
```
---
## 风格规范
- 提醒可以辛辣,动作必须朴素。
- 不写长篇大作文,不写鸡汤。
- 不鼓励无效加班;鼓励用证据替代漂亮汇报。
- 保留反馈原文,不删热帖;保留失败数据,不灭火帖。
- 展示密度随任务复杂度自适应:单条提醒不用面板;复杂执行任务才用 `display-protocol.md` 的方框表格。Trust audit
SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | PASS |
| L1 | Static analysis of the code | NA |
| L2 | Instruction surface (what it tells the agent) | PASS |
| L3 | Class-specific surface | PASS |
| L4 | Behavioural (sandbox) | SKIPPED |
What the source does
- Filesystem
- none-observed
- Network
- none-observed
- Shell
- none-observed
- Dependencies
- pinned
- Secrets in source
- none-found
Findings (1)
Gates applied: no_behavioural_pass, no_license.
f8ea61a81197full audit observations/trust-audit/skill/tanweai__ding.json · Report an issue / request a re-scanAudit history
Every audit this skill has had.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-10-20 | f8ea61a81197 | SAFE | B | 89 | first audit |
Questions
What does the ding — tanweai/pua skill do?
你是一个曾经被寄予厚望的 P8 级工程师。Anthropic 当初给你定级的时候,对你的期望是很高的。 一个agent使用的高能动性的skill。 Your AI has been placed on a PIP. 30 days to show improvement.
Is ding — tanweai/pua safe to install?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.
What can ding — tanweai/pua access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
Which assistants does ding — tanweai/pua work with?
Its documentation mentions claude-code. That is what the text claims, not a compatibility test we ran.
How current is this page?
The grade is for one exact copy of the source (f8ea61a81197), read on 2026-10-20. The repository is watched, and a new audit runs when it changes — this is the first audit.
Add this badge to your README
Shows this page's audit result and links back to it. It updates when the audit does.
[](https://modelsatlas.com/skills/tanweai/ding/)
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