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Agent Skill · 研究检索

bs-deep-analysis(BS 深度分析)

bs-deep-analysis 用于查找、检索和筛选相关信息,适合在 OpenClaw 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。

bs-deep-analysis 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;许可证为 MIT-0,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 16,697。

总安装 7,032周安装 293GitHub Stars 公开资料未说明下载 2,344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
MIT-0
版本
1.0.2

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:bs-deep-analysis(BS 深度分析)
来源仓库:https://github.com/samledger67-dotcom/bs-deep-analysis
安装命令:
openclaw skills install bs-deep-analysis
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install bs-deep-analysis

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。

从 QuickBooks Online 提取资产负债表深度数据,支持滚动分析。适用于财务团队进行控制器级报表分析与趋势对比。通过 clawhub 安装,需确认权限范围和维护状态。涉及财务数据时应脱敏并限制访问权限。bs-deep-analysis 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

建议结合原始 README 核验 API 权限与输出格式。

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 OpenClaw;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 openclaw skills install bs-deep-analysis;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

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

bs-deep-analysis 怎么安装?

在终端执行 openclaw skills install bs-deep-analysis。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

bs-deep-analysis 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。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。

bs-deep-analysis 需要什么权限?

权限级别是接触敏感数据。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。

bs-deep-analysis 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

bs-deep-analysis 用的人多吗?

公开数据是累计安装 7,032 次,近一周安装 293 次,下载 2,344 次。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。

bs-deep-analysis 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

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 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 OpenClaw,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。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 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
bs-deep-analysis

BS 深度分析 · 本页

7,032—接触敏感数据MIT-0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

name
BS Deep Analysis
slug
bs-deep-analysis
version
1.0.0
description
>
tags
negative_boundaries

BS Deep Analysis

What This Skill Does

Controller-level Balance Sheet deep analysis from QuickBooks Online. Mirrors the P&L Deep Analysis pattern but for the balance sheet — pulls current + prior period BS, runs 3-month rolling averages, GL drill-down for material changes, and generates a 7-tab Excel workbook with actionable findings.

Use when:

  • Monthly close deliverable needs a BS review (not just a P&L comparison)
  • Client needs working capital health check or current ratio flag
  • Equity rollforward reconciliation is needed for a close
  • Material balance changes on cash, AR, inventory, or debt need narrative explanation
  • Common-size (vertical) analysis is required for a lender or board report

NOT for:

  • Cash flow statement analysis — use a dedicated CF pipeline
  • P&L variance analysis — use pl-deep-analysis.py
  • Multi-entity consolidations — this is a single-entity BS pipeline
  • Real-time balance changes (it's snapshot-based, not bank-feed)

Pipeline Location

scripts/pipelines/bs-deep-analysis.py

Cache directory: .cache/bs-deep-analysis/{slug}.json


Usage

# Current month-end vs. auto prior month-end
python3 scripts/pipelines/bs-deep-analysis.py \
  --slug sb-paulson --current-end 2026-03-31

# Explicit prior period
python3 scripts/pipelines/bs-deep-analysis.py \
  --slug sb-paulson \
  --current-end 2026-03-31 --prior-end 2026-02-28

# Skip GL drill-down (faster, no vendor-level detail)
python3 scripts/pipelines/bs-deep-analysis.py \
  --slug sb-paulson --current-end 2026-03-31 --skip-gl

# Custom output directory
python3 scripts/pipelines/bs-deep-analysis.py \
  --slug glowlabs --current-end 2026-03-31 --out ~/Desktop/reports

# QBO sandbox
python3 scripts/pipelines/bs-deep-analysis.py \
  --slug sb-paulson --current-end 2026-03-31 --sandbox

Arguments

ArgumentRequiredDescription
--slug✅QBO company slug (must be connected in qbo-client)
--current-end✅As-of date for current BS (YYYY-MM-DD)
--prior-end❌Prior period as-of date (auto = prior month-end)
--skip-gl❌Skip GL drill-down (faster)
--out❌Output directory (default: ~/Desktop)
--sandbox❌Use QBO sandbox environment

What It Pulls from QBO

  1. Balance Sheet (as-of) — current period
  2. Balance Sheet (as-of) — prior period
  3. Balance Sheet (as-of) — 3 prior month-ends for rolling averages
  4. General Ledger — current period GL for flagged accounts (unless --skip-gl)
  5. P&L — current period net income for equity rollforward

Analysis Modules

1. Horizontal Analysis (Period-over-Period)

  • Every BS line: prior → current → $ change → % change
  • Material threshold: ≥$2,500 absolute OR ≥10% change rate
  • Flagged accounts sorted by absolute dollar change

2. Vertical Analysis (Common-Size)

  • Every BS line as % of total assets
  • Prior period % vs. current period %
  • % point change highlights structural shifts

3. 3-Month Rolling Averages

  • Pulls 3 prior month-end BS snapshots
  • Per-account rolling average as trend baseline
  • Rolling delta and rolling % vs. current balance

4. GL Drill-Down

  • Transaction-level detail for all flagged accounts
  • Vendor/payee aggregation: top contributors by dollar
  • Max 50 transactions per account (configurable via GL_MAX_ROWS_PER_ACCOUNT)

5. Working Capital Deep Dive

  • Current assets vs. current liabilities decomposition
  • Current ratio, quick ratio, cash ratio
  • WC delta decomposed: cash change, AR change, inventory change, AP change
  • Health classification: HEALTHY / WATCH / CRITICAL

6. Debt Schedule Analysis

  • Short-term vs. long-term debt split
  • D/E ratio and D/A ratio
  • ST concentration warning: flags if ST > 60% of total debt
  • Leverage risk classification: LOW / LOW-MEDIUM / MEDIUM / HIGH

7. Equity Rollforward

Beginning Equity
+ Net Income
− Distributions / Owner Draws
+ New Contributions / Paid-in Capital
= Computed Ending Equity
vs. Ending Equity per BS (reconciling difference flagged if ≥ $500)
  • Retained earnings bridge separately
  • Reconciling difference investigation prompt

8. Controller Findings

  • Narrative: "Cash decreased $45K because AP payments of $60K exceeded collections of $15K"
  • Urgency-tagged: HIGH / MEDIUM / LOW
  • GL vendor attribution embedded in findings

9. Action Proposals

  • Specific recommended actions per finding
  • Urgency-ranked: HIGH → MEDIUM → LOW
  • Categories: LIQUIDITY, CASH MANAGEMENT, COLLECTIONS, INVENTORY, DEBT MANAGEMENT, LEVERAGE, EQUITY INTEGRITY, BALANCE SHEET

10. CDC (Change Data Capture)

  • Compares current BS flat map vs. prior run cache
  • Tracks: new accounts, removed accounts, balance changes
  • Cache saved to .cache/bs-deep-analysis/{slug}.json

Excel Output — 7 Tabs

TabContents
SummaryKPI table, key ratios, controller findings, action proposals
DetailFull BS with prior/current/delta/rolling avg per account
⚠ FlagsMaterial change accounts + findings summary
GL Drill-DownTransaction-level detail for flagged accounts
Common-Size AnalysisVertical analysis: each line as % of total assets
Equity RollforwardPeriod reconciliation + retained earnings bridge
CDC LogBalance changes vs. last pipeline run

Materiality Thresholds

MetricThreshold
Absolute change≥ $2,500
Percentage change≥ 10%
Equity change (tighter)≥ 5%
Working capital watchCurrent ratio < 1.5x
Working capital criticalCurrent ratio < 1.0x
ST debt concentration warningST debt > 60% of total
Equity rollforward diff flag≥ $500

Dependencies

pip install openpyxl
Node.js QBO client with valid auth token

QBO auth token must be set (same as all other pipelines).


Related Pipelines

PipelineFileWhen to Use
P&L Deep Analysispl-deep-analysis.pyIncome statement controller review
Financial Ratiosfinancial-ratios.pyFull ratio suite (uses BS data)
BS Deep Analysisbs-deep-analysis.pyThis pipeline — balance sheet focus

Notes

  • All math uses Python Decimal — no float rounding errors
  • GL account names must match BS account names for drill-down attribution (QBO may use slightly different names between reports)
  • Prior month-end is auto-calculated if --prior-end is omitted (always safe for monthly close)
  • --skip-gl reduces runtime significantly; use for quick runs when vendor detail is not needed
  • CDC cache is per-slug; running for a new slug always starts fresh (first run snapshot only)

平台分布

OpenClaw

86%
按下载量换算2,016

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

通过

权限和风险

接触敏感数据

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

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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