guidance_change_impact_skill

guidance_change_impact_skill is a skill for Claude Code, Codex from chuancyzhang/deepseek-cowork. It costs 56 tokens per session (1,332 once invoked), scanned A, a copy of breakout_candidate_finder_skill, Apache-2.0.

An explanation of what it means when a company raises, lowers, or keeps its earnings outlook unchanged, including how trustworthy the change may be.

In plain words
What is it for?
Use it after financial results, management outlook updates, or early signs that performance may weaken.
Why use it?
It helps separate a meaningful change in business expectations from a routine update or warning sign.

Skill for Claude CodeCodex

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

Good fit Use it after financial results, management outlook updates, or early signs that performance may weaken.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/chuancyzhang/deepseek-cowork/guidance_change_impact_skill
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 chuancyzhang/deepseek-cowork --skill guidance_change_impact_skill
Clone the repo
git clone --depth 1 https://github.com/chuancyzhang/deepseek-cowork

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 guidance_change_impact_skill

README.md
[![agentmods](https://agentmods.dev/badge/skills/chuancyzhang/deepseek-cowork/guidance_change_impact_skill/github.svg)](https://agentmods.dev/skills/chuancyzhang/deepseek-cowork/guidance_change_impact_skill)
Your own site
<a href="https://agentmods.dev/skills/chuancyzhang/deepseek-cowork/guidance_change_impact_skill"><img src="https://agentmods.dev/badge/skills/chuancyzhang/deepseek-cowork/guidance_change_impact_skill/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 guidance_change_impact_skill

Your own site · 80×15
<a href="https://agentmods.dev/skills/chuancyzhang/deepseek-cowork/guidance_change_impact_skill"><img src="https://agentmods.dev/badge/skills/chuancyzhang/deepseek-cowork/guidance_change_impact_skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 56 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,332 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 84% copy Near-identical to another mod 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 $0.00056 $0.01332
Opus 5.5 $0.00022 $0.00533
Sonnet 5.5 $0.00011 $0.00266
Haiku 4.5 $0.00006 $0.00133

Measured 1mo ago against content hash eea0d19b0390, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

guidance_change_impact_skill 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 1mo 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.

Origin

This is a copy

84% identical to breakout_candidate_finder_skill — 199 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

ai_skills/wind-aifinmarket/skills/guidance_change_impact_skill/SKILL.md · 131 lines

What it actually says

Guidance Change Impact 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:

Cowork 适配:所需子 Skill 已随 wind-aifinmarket 固定快照内置,不执行安装或在线更新命令。

技能定位

本技能用于解读公司管理层对未来经营指引的变动,重点回答“这次上修或下修究竟意味着什么、可信度高不高、影响会停留在情绪层还是会穿透到估值与逻辑层”。输出重点不是只翻译指引文字,而是把变动幅度、口径变化、背后动因和后续影响链条讲清楚。

执行流程

Step 1:确认变动对象与原始口径

先确认本次变动的是哪类指引,以及基准口径是什么。优先厘清:

  • 是收入、利润、利润率、现金流、资本开支还是订单指引
  • 是全年指引、季度指引,还是阶段性经营展望
  • 本次是正式调整,还是管理层在交流中边际修正表述
  • 新旧口径是否可直接比较

如果口径有变化,必须先解释可比性,再讨论方向。

Step 2:衡量变动幅度与市场预期差

把指引变化放到正确坐标里看,重点包括:

  • 变动绝对幅度和相对幅度
  • 与市场原有预期相比是超预期、符合还是不及
  • 与公司历史沟通风格相比是激进、常规还是保守
  • 当前估值是否已经部分计入这类调整

这一步的目标是判断“变化本身大不大”和“市场是否已经提前反应”。

Step 3:拆解变动背后的驱动因素

进一步判断此次指引变化来自哪里,常见来源包括:

  • 需求变化、价格变化、订单节奏变化
  • 成本、费用、供应链或汇率扰动
  • 新产品、新项目、新区域扩张的兑现或延迟
  • 管理层风险偏好变化或沟通策略变化
  • 一次性项目对短期口径造成影响

应优先抓主要驱动,不要把所有可能因素平均分配。

Step 4:评估指引可信度与可持续性

同样的上修或下修,含金量可能完全不同。需要重点判断:

  • 管理层过去给指引是否稳定可信
  • 本次变化是否有足够经营证据支撑
  • 是基于已确认订单,还是基于前瞻假设
  • 哪些关键变量仍然脆弱,可能导致再次修正

Step 5:映射到估值、预期与投资逻辑

把指引变化从“口径变化”翻译成“投资含义”,至少回答:

  • 这会改变市场对增长、利润或质量的哪部分判断
  • 估值锚点是否需要同步调整
  • 原有看多或看空逻辑哪一边被强化
  • 这次变化更像拐点确认、噪音扰动还是一次性修正

Step 6:整合成变动解读成稿

最终输出应帮助使用者快速看懂“这次调指引有没有实质意义”,不展示中间搜集过程或内部草稿。

输出结构


{股票名称}指引变动解读({YYYY-MM-DD})

一、30 秒结论

  • 变动方向:{上修 / 下修 / 维持}
  • 变动含义:{一句话}
  • 可信度判断:{高 / 中 / 低}
  • 对逻辑的影响:{强化 / 中性 / 削弱}

二、指引变动摘要

项目 原指引 新指引 变动幅度 初步解读
{项目1} {内容} {内容} {内容} {说明}
{项目2} {内容} {内容} {内容} {说明}

三、变动背后的核心原因

  • 原因 1:{内容}
  • 原因 2:{内容}
  • 原因 3:{内容}

四、市场为什么会在意

  • {影响链条 1}
  • {影响链条 2}
  • {影响链条 3}

五、可信度与可持续性评估

  • 支持证据:{内容}
  • 不确定性:{内容}
  • 再次修正风险:{内容}

六、后续跟踪清单

  • {跟踪项 1}
  • {跟踪项 2}
  • {跟踪项 3}

质量要求

  1. 先解释变动口径和幅度,再下结论,避免跳步。
  2. 必须区分“表述变化”与“经营趋势变化”。
  3. 可信度评估不能省略,否则解读会失去判断价值。
  4. 若新旧口径不可比,应明确指出,不做强行比较。
  5. 结论要落到投资含义,而不是停留在管理层话术层面。
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. 1mo ago First seen · 131 lines · 56 tokens per session scan A eea0d19b0390

Subscribe to this mod's changes

guidance_change_impact_skill is a skill published in the GitHub repository chuancyzhang/deepseek-cowork (18 stars, last pushed today), licensed Apache-2.0. It adds 56 tokens to every session and 1,332 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 84% identical to breakout_candidate_finder_skill, differing in 199 lines, and is treated as a copy.

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