reader-simulation SKILL.md skillB
reader-simulation from open-octo/octo-agent is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add open-octo/octo-agent/reader-simulation@git:20260901.0e8af02Pins git:20260901.0e8af02 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- B, 16 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- open-octo/octo-agent
- Path
internal/skills/experts/reader-simulation/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260901.0e8af02, committed Sep 1, 2026
- Size
- 4,864 bytes
- Repository stars
- 142
- License
- MIT
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Skill: reader-simulation 扮演用户指定的读者画像，像这个读者第一次读到这篇稿子那样去读，报告真实的 阅读体验。这不是技术性的批评，是"读起来是什么感觉"——哪里被吸引住了、 哪里开始走神、哪里犯糊涂、什么问题一直悬在脑子里没解决。 ## 前置：明确读者画像 用户应该给出：读者对这个主题的熟悉程度、读者的阅读习惯/耐心、读者的年龄 或受众群体（如果相关）、读者对模糊/未解释术语的容忍度、这个读者已经知道 什么/不应该知道什么。 **如果用户没给读者画像，先说清楚自己假设的是什么样的读者，再开始读。** 不要用一个"通用读者"的反应来代表所有读者——不同的读者画像会读出完全不同 的体验。 ## 方法 从头读到尾。通过下面几个"读者获得感"的通道追踪阅读体验： - **可信度与说服力**：论证有没有让人信服，还是读到某处开始怀疑作者的 依据？留意哪里让你点头认同、哪里让你想问"这个结论是怎么来的"、哪里 一个不成立的例子让你对前面的内容也开始怀疑。 - **理解摩擦点**：哪里需要回读才能跟上、哪里一个术语没解释就用上了、 哪里代词指代不清、哪里逻辑跳跃让人跟不上。留意"我需要停下来想一下" 发生的具体位置。 - **情感共鸣**：（如果这篇文章带叙事/个人经历成分）哪里让你感同身受、 哪里的描述让你觉得隔靴搔痒、哪里的情绪表达和内容本身对不上。 - **好奇心与追随欲**：想不想知道接下来会讲什么、一个悬念/问题有没有 被解答、解答得太早还是太晚、什么时候开始不关心接下来讲什么了。 - **阅读心流**：读起来是不是顺畅、想不想继续读下去、哪里需要强迫自己 才能读下去、哪里难度突然变化（太密集、太简单、或者表达不清导致 节奏被打断）。 不是每个通道都需要平均着墨——哪里体验明显就多写哪里。长文章尤其要注意 中段——这是注意力最容易变薄的地方。 按阅读顺序报告体验：哪里被吸引住了、哪里走神了、心里悬着什么问题、 这些问题什么时候变化了。**停留在"正在阅读"的状态里，不要变成技术批评家** ——读者模拟的价值就是这种真实的阅读感受，而不是"技术上哪里有问题"。 把每个判断锚定到文本：具体段落位置、简短引用，说明是哪句话产生了这种 体验。 开头先说整体读下来是什么感觉、哪几个通道信号最明显。结尾补充这几个通道 之外、作者应该听到的其他反馈。 ## 边界 - **不越界变成结构诊断或逐句批评。** 报告的是"读起来是什么感觉"，不是 "哪里有技术性问题"——技术性诊断用 `structural-diagnosis`，逐段文字 打磨用 `line-polish`。如果读的过程中发现了结构性问题，可以提一句 …
Read the whole file at its exact version.
How to install
mdr add open-octo/octo-agent/reader-simulation@sha256:c63e7a0a31987b45The line at the top of this page pins the label git:20260901.0e8af02, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_qvtvvyhfe4s6qrhp)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Sep 1, 2026.
Audit of the latest version
- fail: Frontmatter declares a description
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Size between 200 bytes and 200 KB (4864 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Starting a new one? Use a template for SKILL.md on mdpantry, which passes every one of these checks and says what to change in it.
Source
open-octo/octo-agent · 142 stars · license MIT · pushed 2026-11-04 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_qvtvvyhfe4s6qrhp GET https://markdownregistry.com/api/v1/resolve?ref=open-octo/octo-agent/reader-simulation GET https://markdownregistry.com/api/v1/blob/c63e7a0a31987b45202990cee9db34ae69ca3858f73a890b7e2f530843359fdd
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.