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Agent Skill · 效率

saas-metrics-dashboard(saas metrics dashboard 效率)

saas-metrics-dashboard 用于辅助前端页面、组件、样式和交互逻辑开发,适合在 OpenClaw 中需要维护前端项目、生成组件或检查界面实现时使用。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。

saas-metrics-dashboard 是效率类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为只读;许可证为 MIT-0,第三方扫描已通过,按安装量在效率类的 21,003 个 Skill 里排第 9,669。

总安装 5,816周安装 233GitHub Stars 公开资料未说明下载 1,883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
1.0.0

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:saas-metrics-dashboard(saas metrics dashboard 效率)
来源仓库:https://github.com/samledger67-dotcom/saas-metrics-dashboard
安装命令:
openclaw skills install saas-metrics-dashboard
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 saas-metrics-dashboard

这个 Skill 是做什么的

效率类 Skill 把重复的整理、汇总、转换工作交给助手完成,减少手工复制粘贴。

订阅制业务指标计算器,支持 MRR、ARR、NRR、LTV、CAC 等关键值核算。可构建可视化仪表板原型,辅助监控盈利状态与投资回报周期估算。输入数据需准确,否则可能导致指标失真;建议交叉验证原始凭证。

安装命令:openclaw skills install saas-metrics-dashboard,来源仓库:https://github.com/samledger67-dotcom/saas-metrics-dashboard。涉及账单或客户合同数据时,请先确认授权范围与脱敏处理方式。

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 saas-metrics-dashboard;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

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

saas-metrics-dashboard 怎么安装?

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

saas-metrics-dashboard 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。

saas-metrics-dashboard 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

saas-metrics-dashboard 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。

saas-metrics-dashboard 用的人多吗?

公开数据是累计安装 5,816 次,近一周安装 233 次,下载 1,883 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。

saas-metrics-dashboard 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

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。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 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。
  • 需要处理效率类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

效率类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
github

GitHub 代码协作 · OpenClaw

7,632,918545需要联网MIT-0通过
nano-pdf

Nano PDF 文档 · OpenClaw

4,249,476231需要联网MIT-0通过
auto-updater

自动更新程序 · OpenClaw

2,964,063386操作浏览器MIT-0通过
video-frames

视频帧 · OpenClaw

2,621,304112需要联网MIT-0通过
gemini

Gemini 助手 · OpenClaw

2,547,39648需要联网MIT-0有提醒
saas-metrics-dashboard

saas metrics dashboard 效率 · 本页

5,816—只读MIT-0通过

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
saas-metrics-dashboard
description
>
version
1.0.0
author
PrecisionLedger
tags

SaaS Metrics Dashboard Skill

Calculate every critical SaaS metric from raw subscription data and produce an investor-ready health snapshot. This skill guides Sam Ledger through computing MRR/ARR, churn, retention, unit economics (LTV/CAC), growth efficiency, and Rule of 40 scoring — then formats the output for board decks, investor updates, or feeding into kpi-alert-system threshold monitoring.


When to Use This Skill

Trigger phrases:

  • "What's our MRR / ARR?"
  • "Calculate churn rate for last quarter"
  • "Give me our LTV:CAC ratio"
  • "Build a SaaS metrics snapshot"
  • "Are we Rule of 40 compliant?"
  • "Show net revenue retention"
  • "Prepare metrics for the investor update"
  • "What's our quick ratio / magic number?"
  • "Track cohort retention"

Fits between:

  • startup-financial-model — feeds historical actuals into the 3-statement model
  • kpi-alert-system — outputs threshold-ready metric values for alert monitoring
  • investor-memo-generator — supplies the metrics section of investor memos

NOT for:

  • Businesses without recurring subscription revenue
  • Real-time live dashboards (needs a BI tool like Metabase/Looker)
  • Revenue recognition accounting (use revenue-recognition-agent)
  • QBO bookkeeping entries (use qbo-automation)

Core Metric Definitions

Revenue Metrics

MetricFormulaBenchmark
MRRSum of all monthly recurring charges—
ARRMRR × 12—
New MRRMRR from new customers this period—
Expansion MRRUpsells + seat adds from existing customers—
Churned MRRMRR lost from cancellations—
Contraction MRRDowngrades from existing customers—
Net New MRRNew + Expansion − Churned − ContractionPositive = growing

Retention Metrics

MetricFormulaBenchmark
Logo ChurnCustomers churned / Customers at start<5%/yr for SMB, <2% enterprise
Revenue Churn (GRR)Churned+Contraction MRR / MRR at start>80% GRR good
Net Revenue Retention (NRR)(Start MRR + Expansion − Churn − Contraction) / Start MRR>110% excellent, >100% good
Quick Ratio(New + Expansion) / (Churned + Contraction)>4 = excellent, >2 = healthy

Unit Economics

MetricFormulaBenchmark
LTVARPU / Monthly Churn Rate3× CAC minimum
CAC(S&M Spend) / New Customers—
LTV:CACLTV / CAC>3:1 healthy, >5:1 strong
CAC PaybackCAC / (ARPU × Gross Margin%)<12mo excellent, <18mo good
Magic NumberNet New ARR / Prior Quarter S&M Spend>1.5 = efficient

Growth Efficiency

MetricFormulaBenchmark
MoM Growth(MRR This Mo − Prior Mo) / Prior MoTop decile: 15%+ early stage
Rule of 40ARR Growth Rate % + FCF Margin %≥40 = healthy
Burn MultipleNet Burn / Net New ARR<1 = excellent, <2 = good

Data Inputs Required

Minimum viable inputs:

Period: [month/quarter]
MRR at start of period: $___
New MRR: $___
Expansion MRR: $___
Churned MRR: $___
Contraction MRR: $___
New customers acquired: ___
Customers churned: ___
Total customers at start: ___
S&M spend (period): $___
Gross margin %: ___
ARR growth rate (YoY %): ___
FCF or operating cash flow: $___

Optional (for deeper analysis):

Cohort data (monthly signup + retention by cohort)
Plan-level MRR breakdown
Customer segment breakdown (SMB / Mid-Market / Enterprise)
NPS or CSAT scores

Computation Walkthrough

Step 1: Validate Inputs

  • Confirm all required fields are present
  • Check: New MRR + Expansion − Churn − Contraction = Net New MRR
  • Flag negative MRR values or impossible churn rates (>100%)

Step 2: Calculate Revenue Metrics

net_new_mrr = new_mrr + expansion_mrr - churned_mrr - contraction_mrr
arr = (mrr_start + net_new_mrr) * 12

Step 3: Retention Metrics

logo_churn = customers_churned / customers_start
grr = 1 - ((churned_mrr + contraction_mrr) / mrr_start)
nrr = (mrr_start + expansion_mrr - churned_mrr - contraction_mrr) / mrr_start
quick_ratio = (new_mrr + expansion_mrr) / (churned_mrr + contraction_mrr)

Step 4: Unit Economics

arpu = (mrr_start + net_new_mrr) / (customers_start + new_customers - customers_churned)
ltv = arpu / (logo_churn / 12)  # annualized to monthly churn
cac = sm_spend / new_customers
ltv_cac = ltv / cac
cac_payback_months = cac / (arpu * gross_margin)
magic_number = (net_new_arr) / prior_sm_spend

Step 5: Growth Efficiency

rule_of_40 = arr_growth_pct + fcf_margin_pct
burn_multiple = abs(net_burn) / net_new_arr  # only if burning cash

Step 6: Score & Grade

Apply benchmark thresholds and assign health grades:

  • 🟢 Green: At or above benchmark
  • 🟡 Yellow: Within 20% of benchmark
  • 🔴 Red: Below benchmark threshold

Output Format

Snapshot Output (Markdown/Structured)

═══════════════════════════════════════
  SAAS METRICS SNAPSHOT — [Period]
  Company: [Name] | As of: [Date]
═══════════════════════════════════════

REVENUE
  MRR:              $___,___
  ARR:              $___,___
  Net New MRR:      $___,___  (New: $X | Exp: $X | Churn: -$X)
  MoM Growth:       X.X%  [🟢/🟡/🔴]

RETENTION
  NRR:              XXX%  [🟢/🟡/🔴]  (benchmark: >110%)
  GRR:              XX%   [🟢/🟡/🔴]  (benchmark: >80%)
  Logo Churn:       X.X%  [🟢/🟡/🔴]  (benchmark: <5%/yr)
  Quick Ratio:      X.X   [🟢/🟡/🔴]  (benchmark: >2)

UNIT ECONOMICS
  LTV:CAC:          X.Xx  [🟢/🟡/🔴]  (benchmark: >3:1)
  CAC Payback:      XX mo [🟢/🟡/🔴]  (benchmark: <18mo)
  Magic Number:     X.X   [🟢/🟡/🔴]  (benchmark: >1.5)

EFFICIENCY
  Rule of 40:       XX    [🟢/🟡/🔴]  (benchmark: ≥40)
  Burn Multiple:    X.X   [🟢/🟡/🔴]  (benchmark: <2)

OVERALL HEALTH:  🟢 Strong / 🟡 Watch / 🔴 At Risk
TOP RISKS:  [1-3 specific metrics to address]

CSV/JSON Output (for kpi-alert-system)

When feeding downstream systems, output as:

{
  "period": "2026-Q1",
  "mrr": 125000,
  "arr": 1500000,
  "nrr": 118,
  "grr": 87,
  "logo_churn_annual": 4.2,
  "quick_ratio": 3.1,
  "ltv_cac": 4.5,
  "cac_payback_months": 11,
  "magic_number": 1.8,
  "rule_of_40": 52,
  "burn_multiple": 0.9
}

Cohort Retention Analysis

When cohort data is available, build a retention table:

Cohort  Mo1   Mo2   Mo3   Mo6   Mo12
Jan-25  100%  89%   82%   74%   68%
Feb-25  100%  91%   85%   77%   —
Mar-25  100%  88%   81%   —     —

Key outputs:

  • Average Day-30 retention (target: >85% for SMB, >90% enterprise)
  • 12-month retention (logo) — critical for LTV calculation
  • Revenue cohort retention (expansion often offsets logo churn)

Segment Benchmarks

By Stage

StageARRNRR TargetLogo ChurnRule of 40
Pre-Seed<$1M>100%<10%N/A
Seed$1-5M>105%<8%Growth-driven
Series A$5-20M>110%<5%≥20
Series B+$20M+>120%<3%≥40

By Customer Segment

SegmentNRR TargetLogo ChurnCAC Payback
SMB>100%<10%/yr<6 months
Mid-Market>110%<5%/yr<12 months
Enterprise>120%<2%/yr<18 months

Integration with Other Skills

→ startup-financial-model

Pass current-period actuals as seed inputs for the 3-statement model:

  • Use NRR to project expansion revenue
  • Use logo churn to model customer count trajectory
  • CAC payback informs S&M budget efficiency

→ kpi-alert-system

Register thresholds for automated alerts:

NRR < 100%       → CRITICAL alert (negative net expansion)
Logo churn > 7%  → WARNING alert (annualized)
Quick ratio < 2  → WARNING alert
LTV:CAC < 3      → WARNING alert
Rule of 40 < 30  → INFO alert

→ investor-memo-generator

Feed the snapshot JSON into the metrics section of investor memos. Include MoM/QoQ trends, not just point-in-time values.


Examples

Example 1: Quick Snapshot

Input: "Our MRR is $125K. We added $18K new, $12K expansion, lost $8K churn, $3K contraction. 210 customers, lost 7. Spent $45K on S&M. 75% gross margin. YoY growth 85%. Burning $80K/mo."

Output: Full snapshot with grades, flagging Rule of 40 and burn multiple.

Example 2: Investor Prep

Input: "Prepare Q1 2026 SaaS metrics for our Series A data room" Output: Formatted snapshot + cohort table + segment breakdown + narrative summary with investor framing.

Example 3: Board Deck Metrics Slide

Input: "Give me the 6 most important metrics for our board deck" Output: MRR/ARR, NRR, Logo Churn, LTV:CAC, CAC Payback, Rule of 40 — each with prior period comparison and trend indicator.


Red Flags to Surface

Always flag proactively:

  • NRR < 100% — losing more than you're gaining from existing customers
  • Quick Ratio < 1 — churn eating new growth
  • LTV:CAC < 2 — acquiring customers unprofitably
  • CAC Payback > 24 months — severe capital efficiency problem
  • Burn Multiple > 3 — burning too much per dollar of new ARR
  • Logo churn > 15%/yr — product-market fit concern

*Precision. Integrity. Results. — PrecisionLedger*

平台分布

OpenClaw

92.21%
按下载量换算1,736

安全审计

VirusTotal

通过

ClawScan

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Static analysis

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权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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。目前只有一个公开来源,建议同时核对源仓库。

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