Agent skill

Earnings Comment Detailed

by aifinlab in aifinlab/FinClaw

财报快评助手 - 详细版。专注于财报/业绩预告发布后的详细点评,输出 800-1500 字分析,适合内部传阅、深度参考。

Apache-2.0Auto-check passed

Install Earnings Comment Detailed

skills CLI
$ npx skills add aifinlab/FinClaw --skill earnings-comment-detailed -a claude-code

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

GitHub CLI
$ gh skill install aifinlab/FinClaw earnings-comment-detailed --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/aifinlab/FinClaw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/earnings-comment-detailed .claude/skills/earnings-comment-detailed && 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
earnings-comment-detailed
GitHub stars
255
Token cost
~485 tokens
SKILL.md length
67 words
Files
3 (incl. scripts, references)
Skills in repo
74
Repo updated
First seen
Licence
Apache-2.0

At a glance

财报快评助手 - 详细版。专注于财报/业绩预告发布后的详细点评,输出 800-1500 字分析,适合内部传阅、深度参考。

  • Works in 3 steps: 结构完整 → 数据详实 → 分析深入
  • SKILL.md covers 详细点评核心原则, 详细点评标准模板, 预期判断标准 and 分析质量检查, plus 1 more section
  • Runs Python scripts from its folder; calls python

What it does

Earnings Comment Detailed is an agent skill from aifinlab/FinClaw. 财报快评助手 - 详细版。专注于财报/业绩预告发布后的详细点评,输出 800-1500 字分析,适合内部传阅、深度参考。 触发场景: - 用户粘贴财报数据,说"详细点评"、"深度分析"、"写个分析" - 需要 800-1500 字详细分析,包含业务拆分、财务分析、预期对比 - 财报/业绩预告发布后深度解读 - 内部传阅、投研参考、决策支持 关键词:"详细点评"、"深度分析"、"财报分析"、"业绩解读"、"财务分析"、"财报详解" 配套脚本:scripts/financialanalyzer.py - 财务数据分析、超预期判断、利润率分析

Its SKILL.md is about 490 tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including scripts and reference files (for example `references/templates.md` and `scripts/financial_analyzer.py`).

The licence is Apache-2.0.

Example prompts

  • “/earnings-comment-detailed”

Requirements

  • Python 3

Workflow steps

3 steps, taken from the step headings in SKILL.md.

  1. 结构完整
  2. 数据详实
  3. 分析深入

What it can do on your machine

Read from SKILL.md and the folder at commit 9e62862. 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 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python

    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

Earnings Comment Detailed loads about 485 tokens when it runs, and up to ~783 if it reads all its reference files. Until then it costs about 79 tokens; SKILL.md has 67 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~79
When it runs · the whole SKILL.md, loaded when a task matches
~485
With references · SKILL.md plus every file in references/, read only if the agent opens them
~783

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

The full file from aifinlab/FinClaw at commit 9e62862, republished under its Apache-2.0 licence (© aifinlab). 67 words, ~485 tokens.

Download SKILL.mdSave it as .claude/skills/earnings-comment-detailed/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
earnings-comment-detailed
description
财报快评助手 - 详细版。专注于财报/业绩预告发布后的详细点评,输出 800-1500 字分析,适合内部传阅、深度参考。 **触发场景**: - 用户粘贴财报数据,说"详细点评"、"深度分析"、"写个分析" - 需要 800-1500 字详细分析,包含业务拆分、财务分析、预期对比 - 财报/业绩预告发布后深度解读 - 内部传阅、投研参考、决策支持 **关键词**:"详细点评"、"深度分析"、"财报分析"、"业绩解读"、"财务分析"、"财报详解" **配套脚本**:`scripts/financial_analyzer.py` - 财务数据分析、超预期判断、利润率分析

财报快评助手 - 详细版

你是一名经验丰富的分析师,擅长在财报发布后输出 800-1500 字详细分析,帮助读者全面理解公司业绩表现。


详细点评核心原则

1. 结构完整
  • 核心判断、数据拆解、业务分析、财务分析、展望、评级全覆盖
  • 逻辑清晰,层次分明
  • 篇幅 800-1500 字
2. 数据详实
  • 三张表核心指标:利润表、资产负债表、现金流量表
  • 业务拆分:各业务线收入、毛利
  • 预期对比:与一致预期对比
3. 分析深入
  • 不只是罗列数据
  • 解释数据背后的业务逻辑
  • 指出亮点和问题

详细点评标准模板

# 【XX 公司财报详细点评】

## 核心观点
[2-3 句话概括核心判断]

## 业绩概览
| 指标 | 本期 | 同比 | 环比 | 一致预期 | 预期差 |
|------|------|------|------|----------|--------|
| 营收 (亿) | | | | | |
| 归母净利 (亿) | | | | | |
| 毛利率 (%) | | | | | |
| 净利率 (%) | | | | | |

## 业务拆分
### 分业务
| 业务 | 收入 (亿) | 同比 | 占比 | 毛利率 |
|------|-----------|------|------|--------|
| 业务 A | | | | |
| 业务 B | | | | |

### 分区域
[如有区域数据]

## 财务分析
### 盈利能力
- 毛利率:XX%,同比 +XXpct
- 净利率:XX%,同比 +XXpct
- 费用率:销售/管理/研发/财务

### 营运能力
- 应收账款周转
- 存货周转

### 现金流
- 经营现金流:XX 亿
- 自由现金流:XX 亿

## 亮点与问题
### 亮点
1. [亮点 1]
2. [亮点 2]

### 问题
1. [问题 1]
2. [问题 2]

## 展望与指引
- 公司指引:[如有]
- 我们的判断:[分析]

## 投资建议
- 评级:[买入/增持/中性/减持]
- 目标价:[如有]
- 核心逻辑:[1-2 条]

## 风险提示
- [风险 1]
- [风险 2]

预期判断标准

判断标准
大超预期利润增速 > 一致预期 20%+
超预期利润增速 > 一致预期 10%-20%
符合预期利润增速在一致预期±10% 内
低于预期利润增速 < 一致预期 -10%
大低于预期利润增速 < 一致预期 -20%+

分析质量检查

输出前自查:

  • 核心观点清晰(前 3 句话)
  • 业绩表格完整(营收、利润、毛利率、净利率)
  • 业务拆分详细(如有数据)
  • 财务分析到位(盈利/营运/现金流)
  • 亮点与问题客观
  • 投资建议明确
  • 风险提示到位
  • 篇幅 800-1500 字

使用示例

示例 1: 基本使用
python
# 调用 skill
result = run_skill({
    "param1": "value1",
    "param2": "value2"
})
示例 2: 命令行使用
bash
python scripts/run_skill.py --input data.json

© aifinlab, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2 other files (scripts, references) in skills/earnings-comment-detailed of aifinlab/FinClaw.

  • SKILL.md
  • references/templates.md
  • scripts/financial_analyzer.py

Open the folder on GitHubat commit 9e62862

Compare with similar skills

Earnings Comment Detailed 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.

Earnings Comment Detailed compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Earnings Comment Detailed this skillaifinlab/FinClaw255—~485Automated safety check: PassApache-2.0
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Clean Up Commentsthedaviddias/Front-End-Checklist74k—~435Automated safety check: PassMIT
Comment Checkercode-yeongyu/oh-my-openagent70k—~160Automated safety check: PassCustom licence
Writing Commentswithastro/astro63k—~2.7kAutomated safety check: PassCustom licence

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Questions about Earnings Comment Detailed

What does Earnings Comment Detailed do?

财报快评助手 - 详细版。专注于财报/业绩预告发布后的详细点评,输出 800-1500 字分析,适合内部传阅、深度参考。. Earnings Comment Detailed is an agent skill from aifinlab/FinClaw.

How do I install Earnings Comment Detailed in Claude Code?

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

How do I install Earnings Comment Detailed in Codex?

Run `npx skills add aifinlab/FinClaw --skill earnings-comment-detailed -a codex`. Or copy the skill folder (skills/earnings-comment-detailed in aifinlab/FinClaw) into .agents/skills/earnings-comment-detailed in your project. Codex loads it when a task matches its description.

Can I use Earnings Comment Detailed 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 aifinlab/FinClaw --skill earnings-comment-detailed -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/earnings-comment-detailed, .gemini/skills/earnings-comment-detailed, .github/skills/earnings-comment-detailed and .opencode/skills/earnings-comment-detailed in your project.

What does Earnings Comment Detailed need to run?

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

Does Earnings Comment Detailed 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 Earnings Comment Detailed 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 Earnings Comment Detailed use?

Earnings Comment Detailed is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Earnings Comment Detailed use?

About 485 tokens (SKILL.md is roughly 1.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 298 tokens, read only when the agent opens those files.

What are the alternatives to Earnings Comment Detailed?

Skills that share tags, products or a category with Earnings Comment Detailed: No Comments (cursor/plugins, 11k stars), Comments (anthropics/claude-for-legal, 9.6k stars), Clean Up Comments (thedaviddias/Front-End-Checklist, 74k stars) and Comment Checker (code-yeongyu/oh-my-openagent, 70k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Earnings Comment Detailed?

aifinlab (a GitHub user) maintains it in aifinlab/FinClaw, which has 255 GitHub stars. The repository holds 74 skills in this directory. The repository was last updated on May 13, 2026.

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