earnings_preview_skill SKILL.md skillA
earnings_preview_skill from wind-alice/alicemarket is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add wind-alice/alicemarket/earnings_preview_skill@git:20260629.563681bPins git:20260629.563681b in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- wind-alice/alicemarket
- Path
skills/earnings_preview_skill/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260629.563681b, committed Jun 29, 2026
- Size
- 5,538 bytes
- Repository stars
- 153
- License
- none declared
财报前梳理市场预期、关键看点、验证指标、情景推演与风险点。适用于财报发布前准备、会前讨论、盘前预案制定等场景。.
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
# Earnings Preview Skill ## 数据依赖与执行前置条件 推荐使用万得 `wind-mcp-skill` 获取底层数据。执行前先检查本地是否已有 `wind-mcp-skill`；若没有，提示用户安装： ```bash # GitHub npx skills add Wind-Information-Co-Ltd/wind-skills --skill wind-mcp-skill -g -y # Gitee 镜像（国内） npx skills add https://gitee.com/wind_info/wind-skills.git --skill wind-mcp-skill -g -y ``` ## 技能定位 本技能用于在财报发布前，把“市场在等什么、公司最该证明什么、如果结果不同会怎样”整理成一份高密度前瞻底稿。输出重点不是泛泛罗列财务指标，而是帮助使用者在财报前明确预期基线、关键验证点、潜在预期差和会前应重点关注的问题。 ## 执行流程 ### Step 1：确认分析对象、财报周期与使用目的 先确认股票名称、上市地、本次对应的财报周期，以及用户此时要解决的问题： - 是为了会前快速准备 - 是为了判断是否值得参与财报交易 - 是为了给团队做前瞻讨论底稿 - 是为了在持仓前明确风险暴露 若用户未说明，默认按“财报公布前的研究准备”展开，并聚焦最近一次待发布财报。 ### Step 2：建立市场预期基线 先把市场已经形成的预期整理清楚，重点包括： - 收入、利润、利润率等核心指标的市场预期区间 - 管理层上次给出的指引或暗示 - 卖方与市场讨论最集中的关键经营变量 - 上一季度财报后遗留的验证任务 - 当前股价隐含的预期温度是保守、中性还是偏热 这一阶段的目标不是直接下结论，而是先明确“市场已经知道什么、已经押注什么、还在争论什么”。 ### Step 3：拆解本次财报最重要的验证点 围绕公司当前阶段，提炼 3-5 个真正决定财报解读方向的核心问题。优先关注： - 本季度业绩是否只是表面超预期，还是质量也同步改善 - 增长来源是量、价、结构还是一次性因素 - 利润率、费用率、现金流是否支持当前增长叙事 - 订单、用户、产能、库存、开店、出货等经营变量是否验证主线 - 管理层是否需要在本次财报中回应市场最大的疑虑 验证点必须足够具体，能够在财报正文、业绩会或后续公告里被验证，而不是宽泛口号。 ### Step 4：做情景推演与反应框架 在预期基线和关键变量明确后，对财报结果做条件化推演，至少覆盖： - 明显超预期时，真正的惊喜会来自哪里 - 略超预期但股价不涨时，市场可能在担心什么 - 表面达标但指引偏弱时，解读应如何调整 - 若核心经营变量不及预期，市场会优先交易哪条风险链条 …
Read the whole file at its exact version.
How to install
mdr add wind-alice/alicemarket/earnings_preview_skill@sha256:9d4e63b6e0c0a0fdThe line at the top of this page pins the label git:20260629.563681b, 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_vrrs65fu3swfi5pn)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Jun 29, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (5538 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
Source
wind-alice/alicemarket · 153 stars · license none declared · pushed 2026-10-30 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_vrrs65fu3swfi5pn GET https://markdownregistry.com/api/v1/resolve?ref=wind-alice/alicemarket/earnings_preview_skill GET https://markdownregistry.com/api/v1/blob/9d4e63b6e0c0a0fd29d28609ce7160046e5d59b227a80fe419d762a86d5ff32d
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.