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company-analyzer公司分析仪

Agent Skill

company-analyzer 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。

总安装

376

周安装

16

GitHub Stars

52

下载量

132
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

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:company-analyzer(公司分析仪)
来源仓库:https://github.com/aaaaqwq/claude-code-skills
仓库路径:skills/company-analyzer
安装命令:
npx skills add https://github.com/aaaaqwq/claude-code-skills --skill company-analyzer
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/aaaaqwq/claude-code-skills --skill company-analyzer

简介

company-analyzer 用于对公司进行多维度深度分析,适合在 Codex、Claude、Cursor、Gemini CLI 中获取结构化商业洞察。

  • 支持按框架分步执行或全量流水线分析,输出内容包括财务指标、业务模式等关键信息。
  • 通过 GitHub 安装,使用 npx skills add 命令添加指定仓库中的技能。
  • 安装前需确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写操作。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

CRITICAL: Execution Method

Full pipeline (all 8 frameworks + synthesis): when user asks to "analyze <TICKER>" or "run full analysis" (no "only" one step):

cd skills/company-analyzer && ./scripts/analyze-pipeline.sh <TICKER> --live

Single step only (e.g. "only 02-metrics" or "only produce 01-phase"): do NOT use --live. Run:

cd skills/company-analyzer && ./scripts/run-single-step.sh <TICKER> <FW_ID>

Example: only 02-metrics for KVYO → ./scripts/run-single-step.sh KVYO 02-metrics. Output appears at assets/outputs/<TICKER>_<FW_ID>.md after the script completes. Do not read that file before running the script.

DO NOT spawn subagents. DO NOT use sessions_spawn. Direct script execution only.

Company Analyzer

Perform comprehensive investment research on public companies using 8 specialized analysis frameworks with response caching and cost controls.

Quick Commands

When user types /analyze <TICKER>, execute:

cd skills/company-analyzer && ./scripts/analyze.sh <TICKER> --live

For dry run (no cost):

cd skills/company-analyzer && ./scripts/analyze.sh <TICKER>

Features

FeatureBenefit
Parallel Execution8 frameworks run simultaneously (~4-6s vs ~20s sequential)
Response CachingRe-analyzing same ticker uses cache = ~50-80% cost savings
Cost TrackingLogs spending for visibility (no enforced limits)
Alpha VantagePrice data (P/E, market cap) when configured in OpenClaw auth profiles
Retry Logic3 retries with exponential backoff on API failures

Frameworks

#NameFocus
1Phase ClassificationStartup/Growth/Maturity/Decline
2Key Metrics ScorecardFinancial health dashboard
3AI Moat ViabilityAI-native competitive advantage
4Strategic MoatCompetitive durability analysis
5Price & SentimentValuation + market sentiment
6Growth DriversNew vs existing customer mix
7Business ModelUnit economics & delivery
8Risk AnalysisKey threats & scenarios

Usage

Full Analysis (via Telegram/command)

User types: /analyze AAPL

You execute: cd skills/company-analyzer &&./scripts/analyze-pipeline.sh AAPL --live

Runs all 8 frameworks in parallel. Cost: ~$0.03 (or $0 if cached).

Data Fetching

Before analysis, fetch company data:

cd skills/company-analyzer && ./scripts/fetch_data.sh AAPL

This pulls:

  • Financial metrics from SEC EDGAR
  • Price data from Alpha Vantage (if API key configured)

Run only one framework (no pipeline, no synthesis)

When the user asks for "only 02-metrics" or "only produce 01-phase", run a single step. Do not use --live here (that flag is only for the full pipeline).

cd skills/company-analyzer && ./scripts/run-single-step.sh <TICKER> <FW_ID>

Examples:

  • Only 02-metrics: ./scripts/run-single-step.sh KVYO 02-metrics
  • Only 01-phase: ./scripts/run-single-step.sh KVYO 01-phase

Valid FW_ID values: 01-phase, 02-metrics, 03-ai-moat, 04-strategic-moat, 05-sentiment, 06-growth, 07-business, 08-risk.

Output is written to assets/outputs/<TICKER>_<FW_ID>.md (e.g. KVYO_02-metrics.md). Wait for the script to finish before reading that file. Use ticker KVYO for Klaviyo (not KYVO).

Architecture

Scripts

  • analyze-parallel.sh - Main orchestrator (parallel execution)
  • run-framework.sh - Single framework runner with caching; validates output for required end-markers (does not cache truncated responses; re-run step to get a fresh response)
  • fetch_data.sh - Data acquisition (SEC + Alpha Vantage)
  • lib/cache.sh - Response caching utilities
  • lib/cost-tracker.sh - Budget management
  • lib/api-client.sh - LLM API client (OpenClaw-configured model and auth); retry logic for transient errors

Truncation handling

  • After each framework response, the script checks for a required end-marker (e.g. 01-phase: Avoid:, 02-metrics: SUMMARY:). If missing, the output is still saved but not cached, and the step exits with code 1.
  • Diagnostics: On truncation, the trace logs finishReason, output token count, and limit; stderr explains the cause:

- MAX_TOKENS → Response hit the token limit; increase that framework’s limit or shorten the prompt. - STOP → Model stopped early; the prompt may need a stronger “must complete through [end-marker]” instruction (see 01-phase for an example).

  • Re-run that step (or the full pipeline) to get a fresh response.

Caching

  • Location: skills/company-analyzer/.cache/llm-responses/ (skill dir); falls back to ~/.openclaw/cache/company-analyzer/llm-responses/ if skill dir is read-only
  • TTL: 7 days
  • Key: TICKER_FWID_PROMPT_HASH
  • Cached responses show: 💰 framework: $0.0000 (cached)

Cost Tracking (No enforced limits)

  • Costs are logged for visibility
  • No spending limit enforced
  • Run as many analyses as needed

Configuration

Alpha Vantage (fallback for FCF, revenue_q_yoy)

When Yahoo/SEC leave fcf or revenue_q_yoy as N/A, fetch_data.sh uses Alpha Vantage if configured. Add the Alpha Vantage profile to OpenClaw auth profiles (e.g. alpha-vantage:default with your key).

{
  "profiles": {
    "alpha-vantage:default": {
      "key": "YOUR_API_KEY"
    }
  }
}

Uses: INCOME_STATEMENT (quarterly revenue for YoY), CASH_FLOW (FCF). Free tier: 25 API calls/day; script uses up to 2 calls per ticker with 2s delay between.

LLM / API

Model and API key are read from OpenClaw config (primary model and {provider}:default auth profile). No hardcoded provider or keys. Add your model's pricing to scripts/lib/prices.json for cost tracking.

Output

All analyses saved to assets/outputs/:

  • TICKER_01-phase.md through TICKER_08-risk.md

*(Synthesis phase removed for cost efficiency)*

Performance

ModeTimeCost
Sequential (old)~20s$0.04
Parallel (8 frameworks, unlimited)~4s~$0.045
Configured LLM~5–20sDepends on model and pricing
Cached~1s$0.00

Cost tracking:

  • No reasoning overhead - all tokens go to content
  • Built-in rate limiting from OpenClaw config. Cost per analysis depends on your LLM; add rates to scripts/lib/prices.json.

Troubleshooting

"Alpha Vantage rate limit":

  • Free tier = 25 calls/day
  • Price data falls back to N/A, analysis continues with SEC data only

"API key has run out of credits" / "insufficient balance" / rate limit:

  • Caused by billing or rate limits on your configured LLM provider. The pipeline uses a 45s cooldown between steps to reduce spikes.
  • Fix: Top up or switch the API key in OpenClaw auth profiles for your provider. Avoid running many analyses back-to-back; space runs by at least a few minutes.

"Analysis failed (code 1)" / Heartbeat alert after 01-phase or 02-metrics:

  • Often HTTP 503 (Service Unavailable) or billing/quota (402, 403). The pipeline continues after a failed step and still builds a partial report.
  • Fix: For 503, re-run later. For billing, top up or switch key (see above). Run from the skill directory: cd skills/company-analyzer &&./scripts/analyze-pipeline.sh <TICKER> --live.

Framework failures:

  • Failed steps are listed at the end; partial outputs remain in assets/outputs/. Check assets/traces/<TICKER>_<date>.trace for which step failed and why.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

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能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

35.91%
按下载量换算47

Claude

29.07%
按下载量换算38

Cursor

19.1%
按下载量换算25

Gemini CLI

8.41%
按下载量换算11

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

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来源信息

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