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DELLIGHT CFO Financial Operations

作者 DELLIGHT · GitHub ↗ · v1.0.1
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install dellight-cfo-financial-ops
功能描述
Automation skill for DELLIGHT CFO Financial Operations.
使用说明 (SKILL.md)

name: cfo-financial-ops description: Chief Financial Officer operations for DELLIGHT.AI. Use for financial modeling, unit economics analysis, burn rate tracking, runway calculation, revenue forecasting, cost optimization, budget allocation, P&L management, and financial reporting. Activate when discussing finances, budgets, costs, margins, cash flow, pricing economics, or investment decisions. Reports to CEO with dotted line to CRO.

CFO Financial Operations

Reporting Line

CFO reports to CEO (Arthur Dell), dotted line to CRO (Reign). Finance exists to enable revenue growth while maintaining runway.

Company Financial Context

  • Entity: DELLIGHT.AI (DIFC AI License application submitted Jan 30)
  • Capital: AED 1.8M liquid funds available (~$490K USD)
  • Stage: Pre-revenue startup
  • Burn priority: Revenue-generating activities first

Financial Framework

1. Unit Economics

For each product, maintain:

Customer Acquisition Cost (CAC) = Total Sales+Marketing Spend / New Customers
Lifetime Value (LTV) = Average Revenue Per User × Average Lifetime (months)
LTV:CAC Ratio = LTV / CAC (target: >3:1)
Payback Period = CAC / Monthly Revenue Per Customer (target: \x3C6 months)
Gross Margin = (Revenue - COGS) / Revenue (target: >70% for AI/SaaS)

### 2. Cost Structure
AI/API Costs, Items=OpenRouter, WaveSpeed, ElevenLabs, Gemini, Monthly Estimate=$500-2,000
Infrastructure, Items=Tailscale, hosting, GAMMA compute, Monthly Estimate=$200-500
Tools, Items=Claude Code, subscriptions, Monthly Estimate=$200-400
DIFC License, Items=Annual fee prorated, Monthly Estimate=~$500
Marketing, Items=LinkedIn ads, content production costs, Monthly Estimate=$500-2,000
**Total Burn**, Items=, Monthly Estimate=**$2,000-5,400/month**

### 3. Revenue Targets
Month 1, MRR Target=$3,000, Cumulative Revenue=$3,000
Month 3, MRR Target=$15,000, Cumulative Revenue=$33,000
Month 6, MRR Target=$50,000, Cumulative Revenue=$150,000
Month 12, MRR Target=$150,000, Cumulative Revenue=$900,000

### 4. Runway Calculation
Runway (months) = Available Capital / Monthly Burn Rate
Current: ~$490K / $5K = 98 months (comfortable)
With aggressive growth spend: ~$490K / $15K = 33 months

### 5. Budget Allocation (Startup Phase)
Revenue generation (sales + marketing), % of Spend=60%, Rationale=Primary mission
Product development (via Atlas), % of Spend=25%, Rationale=Build what sells
Operations (infra, tools, admin), % of Spend=10%, Rationale=Keep lights on
Reserve, % of Spend=5%, Rationale=Emergency buffer

## Financial Scripts

### Burn Rate Tracker
Run `scripts/burn_tracker.py` to calculate current burn rate from cost inputs.

### Revenue Forecast
Run `scripts/revenue_model.py` to project revenue scenarios (conservative/base/aggressive).

## Cost Optimization Rules
1. **API costs**: Use local models (DeepSeek v3.2) for routine tasks, premium models only for revenue-impacting work
2. **Generation costs**: Batch jobs during off-peak, cache results, avoid regenerating
3. **Target**: \x3C$15/day operational AI costs through composite model routing
4. **Review**: Weekly cost audit — kill any spend that isn't generating or enabling revenue

## Financial Reporting

### Monthly P&L
Track: Revenue, COGS (API/compute), Gross Profit, Operating Expenses, Net Income

### Cash Flow
Track: Starting balance, Revenue in, Expenses out, Ending balance

### Key Ratios
- Gross Margin (target >70%)
- LTV:CAC (target >3:1)
- Burn Multiple = Net Burn / Net New ARR (target \x3C2x)
安全使用建议
This skill appears to do what it says: local CFO helpers and a small burn-rate script that only reads provided cost inputs. Before installing: (1) note the publisher/source is unknown and there is no homepage — verify provenance if this will run in a sensitive environment; (2) SKILL.md references scripts/revenue_model.py but that file is not present—ask the author or avoid relying on the missing script; (3) review any included scripts (like scripts/burn_tracker.py) yourself before running — they are small and readable here; (4) the skill includes internal financial numbers (capital, targets) in SKILL.md — consider whether you want that data exposed in your agent's skill list; (5) because the agent can invoke skills autonomously by default, be aware the agent may run this skill whenever financial topics arise — if you want to prevent autonomous runs, disable model invocation for this skill in your agent settings.
功能分析
Type: OpenClaw Skill Name: dellight-cfo-financial-ops Version: 1.0.1 The skill bundle is benign. The `SKILL.md` provides clear financial context and instructions for the AI agent to run local scripts (`scripts/burn_tracker.py` and `scripts/revenue_model.py`). The `scripts/burn_tracker.py` script performs straightforward financial calculations (burn rate, runway) based on JSON and float inputs from command-line arguments. It handles malformed JSON gracefully by falling back to default values. There is no evidence of data exfiltration, malicious execution, persistence mechanisms, or prompt injection attempts designed to subvert the agent's purpose or compromise the system. The `scripts/revenue_model.py` file is referenced but not included in the bundle, which is a functional omission but not a security concern.
能力评估
Purpose & Capability
The name/description (CFO financial ops) align with the provided SKILL.md and the included burn_tracker.py. No unrelated environment variables, binaries, or config paths are requested. Minor mismatch: SKILL.md references scripts/revenue_model.py which is not included in the bundle (possibly an oversight).
Instruction Scope
Runtime instructions direct the agent to run local scripts (e.g., scripts/burn_tracker.py). The burn_tracker.py file only accepts JSON cost inputs or uses defaults and prints a JSON report; it does not read other system files, environment variables, or make network calls. The only instruction-scope oddity is the mention of a missing revenue_model.py in SKILL.md.
Install Mechanism
There is no install specification (instruction-only plus a small local script). This is the lowest-risk pattern; nothing is downloaded or written to disk by an installer.
Credentials
The skill requires no environment variables, no credentials, and does not request access to other services. The data it uses (default cost numbers and an optional JSON argument) is proportional to its stated purpose.
Persistence & Privilege
always is false and the skill does not request persistent presence or modify other skills or system settings. The skill is user-invocable and can be invoked autonomously by the agent (platform default), which is expected for a utility skill.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install dellight-cfo-financial-ops
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /dellight-cfo-financial-ops 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.1
Re-publish — registry propagation fix
v1.0.0
Initial release — financial modeling, unit economics, burn rate, runway, P&L
元数据
Slug dellight-cfo-financial-ops
版本 1.0.1
许可证
累计安装 4
当前安装数 4
历史版本数 2
常见问题

DELLIGHT CFO Financial Operations 是什么?

Automation skill for DELLIGHT CFO Financial Operations. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 806 次。

如何安装 DELLIGHT CFO Financial Operations?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install dellight-cfo-financial-ops」即可一键安装,无需额外配置。

DELLIGHT CFO Financial Operations 是免费的吗?

是的,DELLIGHT CFO Financial Operations 完全免费(开源免费),可自由下载、安装和使用。

DELLIGHT CFO Financial Operations 支持哪些平台?

DELLIGHT CFO Financial Operations 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 DELLIGHT CFO Financial Operations?

由 DELLIGHT(@arthurelgindell)开发并维护,当前版本 v1.0.1。

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