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Agent Skill · 研究检索

financial-analysis-earnings(财务分析 收益)

financial-analysis-earnings 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

financial-analysis-earnings 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,674 个 Skill 里排第 49,936。

总安装 635周安装 27GitHub Stars 5下载 222核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:financial-analysis-earnings(财务分析 收益)
来源仓库:https://github.com/pionex-official/pionex-skills
仓库路径:skills/financial-analysis-earnings
安装命令:
npx skills add https://github.com/pionex-official/pionex-skills --skill financial-analysis-earnings
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/pionex-official/pionex-skills --skill financial-analysis-earnings

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

用于查找、检索和筛选相关信息。financial-analysis-earnings 属于研究检索类 Skill,可作为该场景下的辅助能力补充。适合在关键词搜索或任务场景下快速定位候选结果。可结合来源仓库和原始 README 进一步核验具体用法。安装前建议确认权限范围和维护状态,避免意外操作。

注意检查是否会触发联网、命令执行或文件读写行为。

来源仓库内路径:skills/financial-analysis-earnings

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/pionex-official/pionex-skills --skill financia…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

financial-analysis-earnings 怎么安装?

在终端执行 npx skills add https://github.com/pionex-official/pionex-skills --skill financial-analysis…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

financial-analysis-earnings 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

financial-analysis-earnings 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

financial-analysis-earnings 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

financial-analysis-earnings 用的人多吗?

公开数据是累计安装 635 次,近一周安装 27 次,下载 222 次,GitHub 5 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

financial-analysis-earnings 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 只想先试试效果、不希望它改动本地文件的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
financial-analysis-earnings

财务分析 收益 · 本页

6355只读未明确有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Earnings Analysis

Analyze quarterly earnings for US-listed stocks. Combines SEC EDGAR XBRL filings with web search for consensus estimates, then produces a structured beat/miss report with trend analysis.

Setup

No dependencies required. All scripts use Python standard library only.

Workflow

Step 1 — Identify the quarter and find consensus (web search)

Always search first. Do NOT rely on training data for earnings results.

Search 0 — identify the most recently reported quarter:

  • [Company] [ticker] latest quarterly earnings results [current year]

Cross-check against today's date (calendar fiscal year companies):

  • Q1 results typically reported: Apr–May
  • Q2 results typically reported: Jul–Aug
  • Q3 results typically reported: Oct–Nov
  • Q4 results typically reported: Jan–Feb

Non-calendar fiscal years: Check the company's fiscal year end from SEC EDGAR data before mapping quarters. Common examples: Apple FY ends September (Q1 = Oct–Dec), Microsoft FY ends June (Q1 = Jul–Sep). Use the fiscal_year and fiscal_quarter fields from get_fundamentals.py output.

If today's date falls after the typical window for the next quarter, search again — a newer quarter may have been reported.

After confirming the quarter, run two searches:

Search A — reported results:

  • [Company] [confirmed quarter] earnings results revenue EPS

Search B — consensus estimates:

  • [Company] [confirmed quarter] earnings consensus estimate revenue EPS
  • [Ticker] earnings beat miss [confirmed quarter]

Search C (after A and B) — guidance:

  • [Company] [confirmed quarter] earnings guidance outlook next quarter [year]

Extract ALL of these before proceeding:

FieldNotes
Quarter reported (e.g. Q1 FY2026)Verify the date — do not assume
Revenue (reported)
Adj. EPS (reported)
Revenue consensus estimateMust be absolute dollar value (e.g. $27.2B)
Adj. EPS consensus estimateMust be a dollar figure (e.g. $2.84)
Next quarter guidanceRevenue or EPS range; say "not provided" if absent
Full-year guidanceRaised / lowered / maintained vs. prior
Key management commentary2-3 key points

If consensus is not found after two searches, run one more targeted search: [Ticker] EPS estimate Q[X] [year] analyst consensus. Only state "consensus not available" after three attempts.


Step 2 — Pull financial data (scripts)

Run the all-in-one script. Run in parallel with Search A and B from Step 1.

bash run.sh <SYMBOL>
# With peer comparison:
bash run.sh <SYMBOL> --peers <PEER1> <PEER2>

Returns JSON with: current quote, 8 quarters of SEC EDGAR financials, 3 years of annual data, and optional peer comps.

Important: 10-Q data from SEC EDGAR is YTD cumulative. Derive standalone quarters by subtraction:

  • Q1 standalone = Q1 YTD (no subtraction needed)
  • Q2 standalone = H1 YTD − Q1 YTD
  • Q3 standalone = 9M YTD − H1 YTD
  • Q4 standalone = Full-year (10-K) − 9M YTD

Apply subtraction to revenue, gross profit, operating income, and net income. Do NOT subtract EPS — EPS is a per-share figure, not a running sum, so subtracting Q1 EPS from H1 EPS does not give Q2 EPS (share counts differ across periods). For Q2/Q3 standalone EPS, use the value from web search (Step 1) or compute as standalone net income / diluted shares.

Q4 derivation note: Q4 standalone = 10-K full year − Q3 9M YTD. If the Q3 10-Q is not within the 8 periods returned by the script (too old), use web search to fill in Q4 standalone figures.

You must produce a YTD-to-standalone derivation table for the current quarter — see Section 3 in Output Format for the exact template and rules.

The all-in-one script (bash run.sh) is the preferred entry point. It aggregates quarterly, annual, quote, and peer data in a single call.


Step 3 — Beat/miss analysis

Present a three-column table:

Metric        | Reported  | Consensus        | Beat/(Miss)
--------------|-----------|------------------|------------------
Revenue       | $X.XB     | $X.XB            | +$XXM (+X.X%)
Adj. EPS      | $X.XX     | $X.XX            | +$X.XX (+X.X%)
Gross Margin  | XX.X%     | XX.X% (if avail) | +XXbps

If consensus is unavailable, write "n/a — consensus not found". Do not omit the row.

For each beat or miss, write one sentence explaining why — segment mix, pricing, cost changes, one-time items, etc.


Step 4 — Trend analysis

Use standalone quarterly figures derived in Step 2 — not YTD cumulative, which would inflate recent quarters and distort YoY comparisons. Show the last 8 quarters of actual reported results. The quarter being analyzed must appear as the last (most recent) row.

Data source requirement: For each quarter in the table, mark the data source:

  • (SEC) — derived from SEC EDGAR filing (preferred)
  • (web) — from web search (only if SEC filing not yet available)

Do NOT use web search data if SEC data is available. SEC EDGAR is the primary source of truth.

If the reported quarter's 10-Q/10-K has not yet been filed on SEC EDGAR, use figures from web search (Step 1) and mark the row with (web).

QuarterRevenueYoYGross MarginOp. MarginDiluted EPSSource
Q[X-7]$X.XB+X%XX.X%XX.X%$X.XXSEC
.....................
Q[X]$X.XB+X%XX.X%XX.X%$X.XXSEC/web

YoY must always be computed if both current and prior-year quarter are available.

After the table, comment on:

  • Margin expansion or compression trend
  • EPS growth vs. revenue growth (buyback effect or margin improvement?)
  • Acceleration or deceleration in the last 2-3 quarters

Step 5 — Guidance and outlook

Mandatory.

  • Next quarter guidance: metric, range, above/below/in-line with Street
  • Full-year guidance: raised / lowered / maintained vs. prior — quantify the change
  • If no guidance provided: state explicitly, then give a forward read based on trend data

Step 6 — Comparable valuation (only if user asks)

bash run.sh <SYMBOL> --peers <PEER1> <PEER2> ...

Returns revenue, margins, growth, P/E, P/S for up to 10 companies.


Output Format

Section 1 — Summary box (mandatory, always first):

[COMPANY] ([TICKER]) — Q[X] FY[YYYY] EARNINGS   Result: BEAT / INLINE / MISS / N/A

Revenue:      $X.XB   (consensus: $X.XB  |  beat by +$XXM, +X.X%)
Adj. EPS:     $X.XX   (consensus: $X.XX  |  beat by +$X.XX, +X.X%)
Gross Margin: XX.X%   (vs. XX.X% a year ago, +XXbps YoY)

All figures in the Summary box must be standalone quarterly values — never full-year or YTD.

Set Result to N/A if consensus is unavailable for both Revenue and Adj. EPS.

Section 2 — Key takeaways (3-5 bullets). Lead with a number: "Revenue grew 15.7% to $143.8B" not "Strong revenue performance".

Section 3 — SEC Data Derivation (mandatory)

Show the YTD-to-standalone derivation table for the current quarter — this is the audit trail proving figures came from the SEC filing, not a web source. Without it, the reader cannot verify the math. Use this format:

SEC EDGAR Derivation: Q4 FY2025 Standalone
| Metric       | FY Annual   | − Q3 YTD    | = Q4 Standalone |
|--------------|-------------|-------------|-----------------|
| Revenue      | $XXX.XB     | $XXX.XB     | $XX.XB ✓        |
| Net Income   | $XX.XB      | $XX.XB      | $XX.XB          |

Only show Revenue and Net Income (the two most critical metrics). The ✓ indicates cross-validation with web search results. This table must appear before presenting any standalone quarterly figures.

Section 4 — Revenue & segment analysis

Section 5 — Margin analysis

Section 6 — 8-quarter trend table (mandatory — from Step 4, must include Source column)

Section 7 — Guidance (mandatory — from Step 5)

Section 8 — Valuation (only if requested)

Deliver all mandatory sections before offering follow-up options.


Formatting Rules

  • Revenue / profit: B or M, e.g. "$143.8B", "$890M"
  • Margins: one decimal percent, e.g. "48.2%"
  • Margin changes: basis points, e.g. "+130bps YoY"
  • EPS: two decimals, e.g. "$2.84"
  • Growth rates: one decimal, e.g. "+15.7% YoY"

Limitations

  • SEC EDGAR lag: filed data may lag 2-5 days after earnings release; use web search figures for the latest quarter if filing is unavailable
  • 10-Q is cumulative YTD: always subtract prior periods to derive standalone quarters (see Step 2)
  • No earnings call transcript: summarize management commentary from web search only
  • US stocks only: SEC EDGAR covers US-listed equities only
  • Consensus from web search: always note the source; if unavailable after three attempts, say so explicitly

平台分布

Codex

32.79%
按下载量换算73

Claude

31.74%
按下载量换算70

Cursor

17.49%
按下载量换算39

Gemini CLI

9.89%
按下载量换算22

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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