← Back to Skills Marketplace
hanxueyuan

Freddie Mac

by hanxueyuan · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
58
Downloads
0
Stars
0
Active Installs
1
Versions
Install in OpenClaw
/install freddie-mac
Description
美国政府支持企业，专注于购买和证券化抵押贷款，联手房利美主导二级抵押贷款市场超过70%。
README (SKILL.md)

Freddie Mac

历史时间线

  • 1970年：国会创立，作为房利美的竞争对手
  • 1970年代：开创抵押贷款支持证券（MBS）市场
  • 1980-90年代：快速扩张，与房利美共同主导二级市场
  • 2003年：会计丑闻，被迫重述财报
  • 2008年：与房利美同时被政府接管
  • 2008-2024年：在FHFA监管下运营
  • 2020年代：与房利美一起讨论私有化改革路径

商业模式

与房利美类似——购买抵押贷款、证券化、提供担保。但房地美更专注于从储蓄银行和小型贷款机构购买贷款，与房利美形成一定的客户分工。担保或持有的抵押贷款超$3万亿。

护城河分析

双寡头市场结构（与房利美几乎垄断美国二级抵押贷款市场），政府隐性担保，国会授权的法定地位，在MBS发行中积累的技术和运营能力。

关键数据

1970年创立，担保/持有超$3万亿抵押贷款，与房利美共占美国二级抵押贷款市场约70%

有趣事实

房地美(Freddie Mac)的全称是'Federal Home Loan Mortgage Corporation'——它的昵称'Freddie'是刻意设计的，以区别于'Fannie'(房利美)，让两个政府支持企业看起来像两个独立的竞争对手，尽管它们的业务模式几乎相同。

Usage Guidance
This skill is a static informational summary and appears safe to install from a permissions perspective. Before relying on it for decisions, verify key facts against primary sources (e.g., FHFA, Freddie Mac filings) because the SKILL.md is static text and may be outdated or incomplete. If you need live data or transactions (prices, investments, account access), prefer official APIs or services and do not supply credentials to informational skills.
Capability Analysis
Type: OpenClaw Skill Name: freddie-mac Version: 1.0.0 The skill bundle contains purely informational and educational content regarding Freddie Mac's history, business model, and role in the US mortgage market. There is no executable code, network activity, or evidence of prompt injection or malicious intent in SKILL.md or _meta.json.
Capability Assessment
✓ Purpose & Capability
The skill's name and description are an informational overview of Freddie Mac; the SKILL.md content is purely historical/analytical text. There are no required binaries, env vars, or other capabilities that would be unexpected for an informational reference.
✓ Instruction Scope
SKILL.md contains timeline, business model, and analysis and a 'read_when' list indicating appropriate contexts. It does not instruct the agent to read system files, access credentials, or transmit data externally; scope is limited to providing informational content.
✓ Install Mechanism
No install spec and no code files — lowest-risk configuration (instruction-only). Nothing will be written to disk or downloaded by the skill itself.
✓ Credentials
The skill declares no required environment variables, credentials, or config paths; requested privileges are proportional (none) to the stated informational purpose.
✓ Persistence & Privilege
always:false (default) and user-invocable:true. The skill can be invoked autonomously per platform defaults, but it does not request elevated or persistent privileges and does not modify other skills or system settings.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install freddie-mac
  3. After installation, invoke the skill by name or use /freddie-mac
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Freddie Mac skill v1.0.0 – Introduction and overview - 新增技能，全面介绍美国二级抵押贷款市场双寡头之一房地美（Freddie Mac） - 覆盖历史发展时间线、商业模式、与房利美的客户分工 - 分析其护城河、国会授权地位及技术优势 - 提供关键业务与市场份额数据 - 增加有趣事实，揭示“Freddie Mac”命名由来
Metadata
Slug freddie-mac
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Freddie Mac?

美国政府支持企业，专注于购买和证券化抵押贷款，联手房利美主导二级抵押贷款市场超过70%。 It is an AI Agent Skill for Claude Code / OpenClaw, with 58 downloads so far.

How do I install Freddie Mac?

Run "/install freddie-mac" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Freddie Mac free?

Yes, Freddie Mac is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Freddie Mac support?

Freddie Mac is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Freddie Mac?

It is built and maintained by hanxueyuan (@hanxueyuan); the current version is v1.0.0.

More Skills
self-improving agent
Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Clau...
⬇ 463283 · by pskoett
Skill Vetter
Security-first skill vetting for AI agents. Use before installing any skill from ClawdHub, GitHub, or other sources. Checks for red flags, permission scope, and suspicious patterns.
⬇ 259410 · by spclaudehome
Polymarket
Query Polymarket prediction markets. Check odds, find trending markets, search events, track price movements.
⬇ 232503 · by joelchance
Self-Improving + Proactive Agent
Self-reflection + Self-criticism + Self-learning + Self-organizing memory. Agent evaluates its own work, catches mistakes, and improves permanently. Use when...
⬇ 200423 · by ivangdavila
Github
Interact with GitHub using the `gh` CLI. Use `gh issue`, `gh pr`, `gh run`, and `gh api` for issues, PRs, CI runs, and advanced queries.
⬇ 191115 · by steipete
ontology
Typed knowledge graph for structured agent memory and composable skills. Use when creating/querying entities (Person, Project, Task, Event, Document), linkin...
⬇ 190156 · by oswalpalash

💬 Comments