Agent skill

Stock Earnings Review

by hiboys in hiboys/ExploreFinance

依托东方财富数据库,面向沪深京港美五大市场的上市公司/股票,生成业绩点评类输出(含财报分析、业绩解读). An agent skill from hiboys/ExploreFinance.

No licenceAuto-check passed

Install Stock Earnings Review

skills CLI
$ npx skills add hiboys/ExploreFinance --skill stock-earnings-review -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install hiboys/ExploreFinance stock-earnings-review --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/hiboys/ExploreFinance.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/stock-earnings-review .claude/skills/stock-earnings-review && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
stock-earnings-review
GitHub stars
365
Token cost
~1.2k tokens
SKILL.md length
234 words
Files
6 (incl. scripts)
Skills in repo
23
Repo updated
First seen
Licence
None found

At a glance

依托东方财富数据库,面向沪深京港美五大市场的上市公司/股票,生成业绩点评类输出(含财报分析、业绩解读). An agent skill from hiboys/ExploreFinance.

  • Works in 4 steps: scripts/validate_entity.py 获得实体 → scripts/normalize_report_period.py 获得报告期候选 → 大模型基于用户语义选择 reportDate → …
  • SKILL.md covers 上层编排协议(支持分步骤调用), 输出目录与文件结构(默认), 环境变量 and 快速开始, plus 4 more sections
  • Runs Python scripts from its folder; calls python3

What it does

Stock Earnings Review is an agent skill from hiboys/ExploreFinance. 依托东方财富数据库,面向沪深京港美五大市场的上市公司/股票,生成业绩点评类输出(含财报分析、业绩解读)。 当用户明确提出业绩点评、财报分析、业绩解读需求,或出现「业绩点评」「财报点评」「业绩分析」「季报/半年报/年报点评」「财务分析」「盈利分析」「业绩解读」等表述时,应触发本 Skill。 用户点名具体公司/股票并希望获得业绩与盈利维度的分析评价时,应触发本 Skill。 即使用户未明说「业绩点评」,只要意图是对该公司财报或业绩作分析解读,也应触发。

Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts (for example `BUSINESS_LOGIC.md`, `scripts/call_review_api.py` and `scripts/common.py`).

The repository describes itself as: 金融知识学习整理,知识来源包括行业书籍、财新周刊、前沿论文、法律法规等.

Example prompts

  • “/stock-earnings-review”

Requirements

  • Python 3

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. scripts/validate_entity.py 获得实体
  2. scripts/normalize_report_period.py 获得报告期候选
  3. 大模型基于用户语义选择 reportDate
  4. scripts/call_review_api.py 生成点评并保存附件

What it can do on your machine

Read from SKILL.md and the folder at commit 28bc9ee. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 4 files in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python3

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Stock Earnings Review loads about 1.2k tokens when it runs. Until then it costs about 62 tokens; SKILL.md has 234 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~62
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 234 words (~1,191 tokens).

“通过用户问句完成实体识别 → 报告期匹配 → 业绩点评接口生成,并在本地保存 PDF/Word 附件(base64 解码保存)。JSON 过程日志仅在 debug 模式落盘。最终对用户返回标题、接口 content 文本整理结果、附件本地路径、溯源说明与分享链接。”

— opening of SKILL.md by hiboys
name
stock-earnings-review

Read the full SKILL.md on GitHub

Files

SKILL.md and 5 other files (scripts) in .claude/skills/stock-earnings-review of hiboys/ExploreFinance.

  • SKILL.md
  • BUSINESS_LOGIC.md
  • scripts/call_review_api.py
  • scripts/common.py
  • scripts/normalize_report_period.py
  • scripts/validate_entity.py

Open the folder on GitHubat commit 28bc9ee

Compare with similar skills

Stock Earnings Review next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Stock Earnings Review compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Stock Earnings Review this skillhiboys/ExploreFinance365—~1.2kAutomated safety check: PassNone
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Earnings Forecast and Surprise TradingHKUDS/Vibe-Trading35k—~1kAutomated safety check: PassMIT
StockMagicCube/agentara516—~1.1kAutomated safety check: PassNone
Earnings Report Deep Readingxbtlin/ai-berkshire17k—~1.4kAutomated safety check: PassMIT
Stock Analysisalirezarezvani/claude-skills28k—~8.5kAutomated safety check: PassMIT

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Questions about Stock Earnings Review

What does Stock Earnings Review do?

依托东方财富数据库,面向沪深京港美五大市场的上市公司/股票,生成业绩点评类输出(含财报分析、业绩解读). An agent skill from hiboys/ExploreFinance. Stock Earnings Review is an agent skill from hiboys/ExploreFinance.

How do I install Stock Earnings Review in Claude Code?

Run `npx skills add hiboys/ExploreFinance --skill stock-earnings-review -a claude-code`. Or copy the skill folder (.claude/skills/stock-earnings-review in hiboys/ExploreFinance) into .claude/skills/stock-earnings-review in your project. Claude Code loads it when a task matches its description.

How do I install Stock Earnings Review in Codex?

Run `npx skills add hiboys/ExploreFinance --skill stock-earnings-review -a codex`. Or copy the skill folder (.claude/skills/stock-earnings-review in hiboys/ExploreFinance) into .agents/skills/stock-earnings-review in your project. Codex loads it when a task matches its description.

Can I use Stock Earnings Review in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add hiboys/ExploreFinance --skill stock-earnings-review -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/stock-earnings-review, .gemini/skills/stock-earnings-review, .github/skills/stock-earnings-review and .opencode/skills/stock-earnings-review in your project.

What does Stock Earnings Review need to run?

Going by SKILL.md and its folder, Stock Earnings Review needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.

Does Stock Earnings Review access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Stock Earnings Review safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Stock Earnings Review use?

No licence was found for Stock Earnings Review or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Stock Earnings Review use?

About 1.2k tokens (SKILL.md is roughly 4.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Stock Earnings Review?

Skills that share tags, products or a category with Stock Earnings Review: Earnings Revisions and Guidance (HKUDS/Vibe-Trading, 35k stars), Earnings Forecast and Surprise Trading (HKUDS/Vibe-Trading, 35k stars), Stock (MagicCube/agentara, 516 stars) and Earnings Report Deep Reading (xbtlin/ai-berkshire, 17k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Stock Earnings Review?

hiboys (a GitHub user) maintains it in hiboys/ExploreFinance, which has 365 GitHub stars. The repository holds 23 skills in this directory. The repository was last updated on June 17, 2026.

Source: hiboys/ExploreFinance on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.