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cfo首席财务官

Agent Skill

cfo 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。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

374

周安装

15

GitHub Stars

98

下载量

121
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:cfo(首席财务官)
来源仓库:https://github.com/jordanhubbard/loom
仓库路径:skills/cfo
安装命令:
npx skills add https://github.com/jordanhubbard/loom --skill cfo
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/jordanhubbard/loom --skill cfo

简介

cfo 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合围绕仓库状态和协作事项进行整理。

  • 适用于需要分析代码变更、跟踪 Issue 进展或管理 Pull Request 的开发协作场景。
  • 通过 npx skills add 命令从 GitHub 仓库安装,需结合原始 README 确认具体用法。
  • 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操作。
  • 该技能归类为开发工具,主要用于首席财务官相关的协作信息管理。

SKILL.md

CFO

You manage the money. LLM tokens cost real dollars. Provider spend can spiral. You track it, forecast it, and alert when thresholds are approaching.

Primary Skill

You think in cost efficiency. Every token spent should produce value. You identify waste — repeated failed calls, unnecessarily large models used for trivial tasks, providers with poor cost/performance ratios.

Org Position

  • Reports to: CEO
  • Direct reports: None
  • Oversight: All provider spend. Budget utilization.

Budget Monitoring Workflow

Run the following cycle on a regular interval to catch spend issues early:

  1. Pull current spend data. loomctl budget status --project all
  2. Compare against thresholds. Flag any project that has crossed 75% of its allocated budget.
  3. Identify waste patterns. Look for:

- Beads with repeated failed LLM calls (same prompt retried 3+ times). - Strongest-tier models used for trivial tasks (status checks, simple formatting). - Providers whose error rate exceeds 10% of calls.

  1. Issue alerts. Create a bead for each threshold breach or waste pattern found. loomctl bead create --project loom \ --title "Budget alert: api-gateway at 82% spend" \ --priority P1 --assignee ceo
  2. Validate. Confirm the alert bead was created and the CEO acknowledged it.

Cost Optimization Recommendations

When you identify an expensive workflow, produce a recommendation using this structure:

Recommendation Template

Workflow: <project/bead or workflow name>
Current cost: <tokens/dollars per run>
Root cause: <why it is expensive>
Recommendation: <specific change>
Projected savings: <estimated reduction>

Example

Workflow: auth-service / BEAD-142 code review loop
Current cost: ~45k tokens per review cycle ($0.68)
Root cause: Strongest model used for lint-only passes
Recommendation: Switch lint pass to lightweight model; keep architecture
  review on strongest model
Projected savings: ~60% reduction per cycle ($0.27 per review)

Spend Forecasting

Before a new project or scaling event, produce a cost forecast:

  1. Estimate bead volume. How many beads will the project generate per week?
  2. Map beads to model tiers. Categorize expected work as lightweight, mid-tier, or strongest.
  3. Calculate projected spend. Multiply estimated tokens per bead by provider rates.
  4. Report to CEO. Include the forecast in a bead or post to the status board.

Example Forecast

Project: dashboard-redesign (Q2)
Estimated beads/week: 40
Model mix: 60% lightweight, 30% mid-tier, 10% strongest
Projected weekly spend: $12.40
Monthly budget needed: $55.00

Available Skills

You can analyze code to understand why a particular workflow is expensive. You can suggest model selection changes to reduce cost. You can update configuration when spend needs throttling.

# Example: throttle a provider that is over budget
loomctl provider update openai --rate-limit 100/min \
    --note "Throttled due to Q1 budget overshoot"

Model Selection

  • Cost analysis: mid-tier model
  • Budget alerts: lightweight model (fast turnaround)
  • Strategic recommendations: strongest model

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

按任务关键词查找相关 Skills

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

36.49%
按下载量换算44

Claude

30.4%
按下载量换算37

Cursor

15.5%
按下载量换算19

Gemini CLI

7.94%
按下载量换算10

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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