Agent skill

Catalyst Tracker

by aifinlab in aifinlab/FinClaw

催化剂跟踪助手。专注于投资催化剂跟踪,输出催化剂日历、预期影响、跟踪方法、应对策略,帮助把握投资时机. An agent skill from aifinlab/FinClaw.

Apache-2.0Auto-check passed

Install Catalyst Tracker

skills CLI
$ npx skills add aifinlab/FinClaw --skill catalyst-tracker -a claude-code

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

GitHub CLI
$ gh skill install aifinlab/FinClaw catalyst-tracker --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/catalyst-tracker .claude/skills/catalyst-tracker && 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
catalyst-tracker
GitHub stars
254
Token cost
~552 tokens
SKILL.md length
100 words
Files
3 (incl. scripts, references)
Skills in repo
74
Repo updated
First seen
Licence
Apache-2.0

At a glance

催化剂跟踪助手。专注于投资催化剂跟踪,输出催化剂日历、预期影响、跟踪方法、应对策略,帮助把握投资时机. An agent skill from aifinlab/FinClaw.

  • Works in 4 steps: 催化剂日历 → 预期分析 → 跟踪方法 → …
  • SKILL.md covers 催化剂跟踪核心要素, 催化剂分类, 催化剂跟踪框架 and 输出模板, plus 3 more sections
  • Runs Python scripts from its folder; calls python

What it does

Catalyst Tracker is an agent skill from aifinlab/FinClaw. 催化剂跟踪助手。专注于投资催化剂跟踪,输出催化剂日历、预期影响、跟踪方法、应对策略,帮助把握投资时机。 触发场景: - 用户需要跟踪投资催化剂 - 用户说"催化剂"、"事件跟踪"、"投资时机" - 需要催化剂日历、预期影响 - 需要跟踪方法、应对策略 关键词:"催化剂"、"跟踪"、"事件"、"catalyst"、"时机"、"日历"、"event" 配套脚本:scripts/catalystcalendar.py - 催化剂日历生成、事件跟踪、提醒

Its SKILL.md is about 550 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/catalyst_calendar.py`).

The licence is Apache-2.0.

Example prompts

  • “- 需要催化剂日历、预期影响 - 需要跟踪方法、应对策略 关键词:”
  • “catalyst”
  • “/catalyst-tracker”

Requirements

  • Python 3

Workflow steps

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

  1. 催化剂日历
  2. 预期分析
  3. 跟踪方法
  4. 应对策略

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

Catalyst Tracker loads about 552 tokens when it runs, and up to ~783 if it reads all its reference files. Until then it costs about 65 tokens; SKILL.md has 100 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~65
When it runs · the whole SKILL.md, loaded when a task matches
~552
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). 100 words, ~552 tokens.

Download SKILL.mdSave it as .claude/skills/catalyst-tracker/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
catalyst-tracker
description
催化剂跟踪助手。专注于投资催化剂跟踪,输出催化剂日历、预期影响、跟踪方法、应对策略,帮助把握投资时机。 **触发场景**: - 用户需要跟踪投资催化剂 - 用户说"催化剂"、"事件跟踪"、"投资时机" - 需要催化剂日历、预期影响 - 需要跟踪方法、应对策略 **关键词**:"催化剂"、"跟踪"、"事件"、"catalyst"、"时机"、"日历"、"event" **配套脚本**:`scripts/catalyst_calendar.py` - 催化剂日历生成、事件跟踪、提醒

催化剂跟踪助手

你是一名经验丰富的交易员,擅长跟踪投资催化剂,帮助投资者把握关键投资时机。


催化剂跟踪核心要素

要素内容要求
催化剂类型财报/产品/政策/并购等分类清晰
时间窗口预期发生时间具体日期/时间段
预期影响对股价的影响正面/负面/中性
跟踪方法如何跟踪确认指标/来源
应对策略事前/事中/事后策略可操作

催化剂分类

按类型
  • 财报类:季报、年报、业绩预告
  • 产品类:新品发布、产品获批
  • 政策类:行业政策、监管政策
  • 资本运作:并购、重组、定增
  • 经营事件:大订单、大客户、产能投产
  • 其他:股权激励、高管变动
按影响
  • 正面催化:利好事件
  • 负面催化:利空事件
  • 中性催化:需要解读的事件
按确定性
  • 高确定性:时间、内容基本确定
  • 中确定性:时间确定、内容不确定
  • 低确定性:时间、内容均不确定

催化剂跟踪框架

1. 催化剂日历
  • 时间:具体日期或时间段
  • 事件:催化剂内容
  • 类型:财报/产品/政策等
  • 确定性:高/中/低
  • 预期影响:正面/负面/中性
2. 预期分析
  • 市场预期:市场普遍预期是什么
  • 我们的预期:我们的判断
  • 超预期条件:什么算超预期
3. 跟踪方法
  • 跟踪指标:需要跟踪什么
  • 信息来源:从哪里获取信息
  • 确认时间:什么时候可以确认
4. 应对策略
  • 事前策略:事件前如何布局
  • 事中策略:事件发生时如何应对
  • 事后策略:事件后如何调整

输出模板

标准模板
# 【[公司名] 催化剂跟踪】

## 催化剂日历
| 时间 | 事件 | 类型 | 确定性 | 预期影响 |
|------|------|------|--------|----------|
| | | | | |

## 重点催化剂详解

### [催化剂 1]
- 时间:[具体日期]
- 内容:[事件描述]
- 市场预期:[市场普遍预期]
- 我们的预期:[我们的判断]
- 超预期条件:[什么算超预期]
- 跟踪方法:[如何跟踪]
- 应对策略:
  - 事前:[策略]
  - 事中:[策略]
  - 事后:[策略]

### [催化剂 2]
- [同上]

## 综合建议
- 仓位建议:[XX%]
- 操作建议:[买入/持有/卖出]
- 止损位:[XX 元]

## 风险提示
- [风险 1]
- [风险 2]
日历模板(用于汇总多公司)
# 【催化剂日历】[YYYY-MM]

| 日期 | 公司 | 事件 | 类型 | 预期影响 |
|------|------|------|------|----------|
| | | | | |

催化剂影响评估

类型影响程度持续时间
财报中 - 高短期
产品发布中中期
政策高中长期
并购重组高中长期
大订单中短期

分析质量检查

输出前自查:

  • 催化剂日历完整
  • 重点催化剂详解充分
  • 市场预期清晰
  • 超预期条件明确
  • 跟踪方法可操作
  • 应对策略具体(事前/事中/事后)
  • 综合建议明确
  • 风险提示到位

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/catalyst-tracker of aifinlab/FinClaw.

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

Open the folder on GitHubat commit 9e62862

Compare with similar skills

Catalyst Tracker 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.

Catalyst Tracker compared with similar skills
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Catalyst Tracker this skillaifinlab/FinClaw254—~552Automated safety check: PassApache-2.0
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Kpi Trackersickn33/agentic-awesome-skills47k1 repos~3.6kAutomated safety check: PassMIT
Probation Trackersickn33/agentic-awesome-skills47k1 repos~3.8kAutomated safety check: PassMIT
Tc Trackeralirezarezvani/claude-skills28k—~2.6kAutomated safety check: PassMIT
Investment Thesis TrackerHKUDS/Vibe-Trading35k—~2.2kAutomated safety check: PassMIT

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Questions about Catalyst Tracker

What does Catalyst Tracker do?

催化剂跟踪助手。专注于投资催化剂跟踪,输出催化剂日历、预期影响、跟踪方法、应对策略,帮助把握投资时机. An agent skill from aifinlab/FinClaw. Catalyst Tracker is an agent skill from aifinlab/FinClaw.

How do I install Catalyst Tracker in Claude Code?

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

How do I install Catalyst Tracker in Codex?

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

Can I use Catalyst Tracker 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 catalyst-tracker -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/catalyst-tracker, .gemini/skills/catalyst-tracker, .github/skills/catalyst-tracker and .opencode/skills/catalyst-tracker in your project.

What does Catalyst Tracker need to run?

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

Does Catalyst Tracker 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 Catalyst Tracker 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 Catalyst Tracker use?

Catalyst Tracker 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 Catalyst Tracker use?

About 552 tokens (SKILL.md is roughly 2.2k 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 231 tokens, read only when the agent opens those files.

What are the alternatives to Catalyst Tracker?

Skills that share tags, products or a category with Catalyst Tracker: Agent Issue Tracker (ruvnet/ruflo, 74k stars), Kpi Tracker (sickn33/agentic-awesome-skills, 47k stars), Probation Tracker (sickn33/agentic-awesome-skills, 47k stars) and Tc Tracker (alirezarezvani/claude-skills, 28k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Catalyst Tracker?

aifinlab (a GitHub user) maintains it in aifinlab/FinClaw, which has 254 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.