Token导航 LogoToken导航

Agent Skill · 研究检索

scf-deep-analysis(SCF 深度分析)

scf-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。

scf-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 73,674 个 Skill 里排第 16,901。

总安装 6,915周安装 294GitHub Stars 公开资料未说明下载 2,423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:scf-deep-analysis(SCF 深度分析)
来源仓库:https://github.com/samledger67-dotcom/scf-deep-analysis
安装命令:
openclaw skills install scf-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 scf-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。

为 QBO 客户提供现金流量表深入分析,计算自由现金流等指标。适用于财务健康和营运资金驱动因素诊断。输出控制者级财务洞察报告。适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。需确认 QBO 连接权限和数据脱敏机制。

scf-deep-analysis 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

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 scf-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

scf-deep-analysis 怎么安装?

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

scf-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。

scf-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。

scf-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。

scf-deep-analysis 用的人多吗?

公开数据是累计安装 6,915 次,近一周安装 294 次,下载 2,423 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。

scf-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
scf-deep-analysis

SCF 深度分析 · 本页

6,915—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
SCF Deep Analysis
slug
scf-deep-analysis
version
1.0.0
description
>
tags
negative_boundaries

SCF Deep Analysis — SKILL.md

What This Skill Does

Runs a controller-level Statement of Cash Flows deep analysis for a QBO-connected client. Extends the SCF Quick Compare with:

  • CF Quality Ratio: Operating CF ÷ Net Income (>1.0 = cash-backed quality earnings)
  • Free Cash Flow: Operating CF − CapEx (pulled from investing section)
  • Working Capital Movement: AR, AP, Inventory, Prepaid — which WC components drove operating CF changes
  • 3-Month Rolling Averages: Per-account and per-section CF trend baseline
  • GL Drill-Down: Vendor-level transaction detail for every flagged CF account
  • Controller Findings: Plain-English narratives with urgency — "Operating CF decreased 15% because AR increased $8K (collections lagging) while AP decreased $4K (paying faster)"
  • Action Proposals: Specific, actionable recommendations (HIGH / MEDIUM / LOW urgency)
  • CDC: Tracks what changed in CF since last run

Output: Excel workbook with 7 tabs: Summary | Detail | ⚠ Flags | GL Drill-Down | Working Capital Movement | Controller Findings | CDC Log

When To Use

  • Monthly close: controller-level CF review beyond the Quick Compare
  • Client with CF concerns (declining operating CF, negative FCF, low CF quality)
  • Board prep: need to explain *why* cash changed this period
  • Internal review: identify AR collection problems, AP timing, capex overruns

When NOT To Use

  • Quick period-over-period CF snapshot → use scf-quick-compare.py instead
  • P&L variance analysis → use pl-deep-analysis.py
  • Budget vs. actual → use budget-vs-actual skill
  • Non-QBO clients (no integration) → use bank-reconciliation skill

Prerequisites

  • QBO client connected for the slug
  • QBO auth token configured
  • openpyxl installed: pip install openpyxl
  • Node.js available on PATH

Script Location

scripts/pipelines/scf-deep-analysis.py

Usage

# Basic: current month vs. prior month (auto-calculated)
python3 scripts/pipelines/scf-deep-analysis.py \
  --slug my-client \
  --current-start 2026-03-01 --current-end 2026-03-31

# Explicit prior period
python3 scripts/pipelines/scf-deep-analysis.py \
  --slug my-client \
  --current-start 2026-02-01 --current-end 2026-02-28 \
  --prior-start 2026-01-01 --prior-end 2026-01-31

# YTD vs prior YTD
python3 scripts/pipelines/scf-deep-analysis.py \
  --slug my-client --ytd --year 2026

# Skip GL drill-down (faster — use when GL is unavailable or not needed)
python3 scripts/pipelines/scf-deep-analysis.py \
  --slug my-client \
  --current-start 2026-03-01 --current-end 2026-03-31 --skip-gl

# Custom output directory
python3 scripts/pipelines/scf-deep-analysis.py \
  --slug glowlabs \
  --current-start 2026-03-01 --current-end 2026-03-31 \
  --out ~/Desktop/reports

# Sandbox mode (QBO sandbox environment)
python3 scripts/pipelines/scf-deep-analysis.py \
  --slug glowlabs \
  --current-start 2026-03-01 --current-end 2026-03-31 --sandbox

Arguments

ArgumentRequiredDescription
--slug✅Company slug (must match qbo-client connection)
--current-start✅*Current period start YYYY-MM-DD
--current-end✅*Current period end YYYY-MM-DD
--prior-start❌Prior period start — auto-calculated if omitted
--prior-end❌Prior period end — auto-calculated if omitted
--ytd❌YTD mode: Jan 1 → end of last completed month
--year❌Year for --ytd (default: current year)
--skip-gl❌Skip GL drill-down (faster run)
--out❌Output directory (default: ~/Desktop)
--sandbox❌Use QBO sandbox environment

*Required unless --ytd is used.

Pipeline Steps (8 Steps)

  1. Pull CF — current + prior period CF from QBO via report {slug} cf
  2. Pull P&L — current + prior period P&L for Net Income extraction (CF quality ratio)
  3. Rolling Averages — pull 3 prior months of CF; compute per-account and per-section averages
  4. CDC — compare current flat map vs. .cache/scf-deep-analysis/{slug}.json
  5. CF Quality + FCF — compute ratio + extract CapEx from investing section
  6. Working Capital Movement — classify AR / AP / Inventory / Prepaid from operating section
  7. Variance + Flags + GL — flag material variances (≥10% or ≥$2,500); pull GL for flagged accounts
  8. Controller Findings — generate narrative findings with urgency and action proposals

Output: Excel Workbook (7 Tabs)

Tab 1: Summary

  • Section totals: Operating / Investing / Financing / Net Change / Beginning / Ending Cash
  • vs. prior period + 3-month rolling average
  • CF Quality Ratio block (with color coding)
  • Free Cash Flow calculation
  • Controller Findings summary (top 8 findings, HIGH in red)

Tab 2: Detail

  • Every CF line item with prior period, current period, $ variance, % variance, rolling avg
  • Section-grouped with color bands (Operating = blue, Investing = yellow, Financing = purple)
  • F/U column (Favorable = more cash, Unfavorable = less cash)

Tab 3: ⚠ Flags

  • Material variances only: ≥10% change OR ≥$2,500 absolute delta
  • Includes rolling avg comparison
  • Sorted by absolute dollar variance

Tab 4: GL Drill-Down

  • Vendor-level transaction detail for every flagged account
  • Top 3 vendor contributors shown in sub-header per account
  • Max 50 transactions per account
  • Skipped if --skip-gl flag used

Tab 5: Working Capital Movement

  • AR, AP, Inventory, Prepaid, Other WC — current vs. prior vs. delta
  • Cash Impact column (Source / Use)
  • Plain-English analysis note per component (e.g., "AR increased $8K — collections lagging sales")
  • Total WC impact row

Tab 6: Controller Findings

  • Full narrative findings sorted HIGH → MEDIUM → LOW
  • Detail / GL attribution per finding
  • Specific recommended action per finding
  • $ Impact column

Tab 7: CDC Log

  • All accounts/line items that changed vs. last cached run
  • Prior value, current value, $ delta, % change, note (New / Changed / Removed)
  • Color coded: green = cash increased, red = cash decreased

Cache

.cache/scf-deep-analysis/{slug}.json

Stored after each run. Contains:

  • flat_map — all CF line items and amounts
  • totals — section totals (operating, investing, financing, net_change, ending_cash)
  • cf_quality — CF quality label
  • fcf — Free Cash Flow amount
  • net_income — Net Income for the period
  • saved_at — ISO date of last run

Key Metrics Explained

CF Quality Ratio

Operating CF / Net Income
RatioQualityColor
≥ 1.0x✅ Quality Earnings — cash-backedGreen
0.5–1.0x⚠ Adequate — partially cash-backedYellow
< 0.5x⚠ Low Quality — accrual-heavyOrange
< 0🔴 Cash Drain — cash negative despite reported profitRed

Free Cash Flow

FCF = Operating CF + CapEx (CapEx is negative outflow, so this subtracts it)

CapEx detected by keyword matching in investing section (equipment, property, asset, capital expenditure, etc.)

Working Capital Movement (in Operating section)

  • AR change (negative = AR grew = cash used; positive = AR shrank = cash released)
  • AP change (positive = AP grew = cash deferred; negative = AP shrank = cash paid out)
  • Inventory change (negative = inventory built = cash used; positive = inventory drawn = cash released)
  • Prepaid change (negative = more prepaid = cash used; positive = prepaid expensed = cash released)

Materiality Thresholds

  • Percent threshold: ≥10% change in any CF line item
  • Absolute threshold: ≥$2,500 absolute variance
  • Both thresholds checked — either triggers a flag

Safety Rules

  • Read-only: No writes to QBO — only pulls reports
  • All Decimal math: No floating-point for financial calculations
  • Disclaimer footer: Controller Findings tab includes audit disclaimer
  • Cache separation: Uses .cache/scf-deep-analysis/ — separate from scf-quick-compare cache

Related Pipelines

PipelineUse When
scf-quick-compare.pyQuick CF period-over-period snapshot (4 tabs, no GL)
scf-deep-analysis.pyController-level CF with GL drill-down, CF quality, FCF, WC movement
pl-deep-analysis.pySame depth for P&L (not CF)
budget-builder.pyBuild annual CF budget / BvA

平台分布

OpenClaw

76.27%
按下载量换算1,848

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。

继续浏览同类 Skills