stock-analytics-skill: Skill for Claude Code

.agents/skills/bond-fund-analysis/SKILL.md

bond-fund-analysis is a skill for Claude Code, Codex from belos-street/stock-analytics-skill. It costs 56 tokens per session (6,017 once invoked), scanned A, original, MIT.

An analysis guide for bond funds, which are investment funds that mainly hold bonds and earn money from their interest and changing prices. It explains fund types, interest-rate effects, and common risks.

In plain words
What is it for?
Use it to compare bond funds, assess duration and credit quality, interpret interest-rate conditions, and evaluate possible allocation choices without receiving a specific buy or sell order.
Why use it?
It helps investors understand why bond-fund values can change and how credit, interest-rate, and liquidity risks affect different funds.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

This is belos-street/stock-analytics-skill's own configuration. It tells Claude Code and Codex how to work on stock-analytics-skill itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything stock-analytics-skill configures →

Reuse

Borrowing it

Nothing to install: this file belongs to belos-street/stock-analytics-skill. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/belos-street/stock-analytics-skill/main/.agents/skills/bond-fund-analysis/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/belos-street/stock-analytics-skill

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for bond-fund-analysis

README.md
[![agentmods](https://agentmods.dev/badge/skills/belos-street/stock-analytics-skill/bond-fund-analysis/github.svg)](https://agentmods.dev/skills/belos-street/stock-analytics-skill/bond-fund-analysis)
Your own site
<a href="https://agentmods.dev/skills/belos-street/stock-analytics-skill/bond-fund-analysis"><img src="https://agentmods.dev/badge/skills/belos-street/stock-analytics-skill/bond-fund-analysis/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for bond-fund-analysis

Your own site · 80×15
<a href="https://agentmods.dev/skills/belos-street/stock-analytics-skill/bond-fund-analysis"><img src="https://agentmods.dev/badge/skills/belos-street/stock-analytics-skill/bond-fund-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 56 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 6,017 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00056 $0.06017
Opus 5 $0.00028 $0.03009
Sonnet 5 $0.00011 $0.01203
Haiku 4.5 $0.00006 $0.00602

Measured 11d ago against content hash 658053022eeb, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

bond-fund-analysis scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.agents/skills/bond-fund-analysis/SKILL.md · 753 lines

How it starts

The opening of the file, as written. The whole thing — 753 lines — stays where its author put it; the contents beside it link to each section on GitHub.

债券基金分析Skill

技能核心定位

核心目标

为用户提供债券基金的专业投资分析,帮助用户理解债券基金的特性和风险,掌握利率环境对债券基金的影响,优化债券基金配置,实现稳健收益。

目标用户

  • 稳健型投资者:追求稳定收益、低风险的投资者
  • 资产配置者:将债券基金作为组合配置一部分的投资者
  • 长期投资者:采用长期持有策略的投资者
  • 风险厌恶者:希望降低组合波动性的投资者

技能边界

可提供服务

  • 债券基金基本面分析:久期、信用评级、收益率分析
  • 利率环境分析:利率变化对债券基金的影响
  • 投资时机判断:加仓减仓时机判断
  • 风险评估:利率风险、信用风险、流动性风险分析
  • 债券基金选择:根据风险偏好和投资目标推荐合适的债券基金

不可提供服务

  • 具体买卖指令
  • 承诺收益
  • 违规荐股
  • 内幕信息披露

债券基金基础认知

什么是债券基金

定义:债券基金是主要投资于债券的基金,通过投资国债、金融债、企业债等债券品种,获取稳定的利息收入和资本增值。

核心特点

  1. 收益稳定:主要来源于债券利息,收益相对稳定
  2. 风险较低:相比股票基金,债券基金风险较低
  3. 流动性好:可以随时申购赎回,流动性较好
  4. 分散投资:通过投资多只债券,分散单一债券的风险

债券基金分类

按投资标的分类

纯债基金

  • 只投资债券,不投资股票
  • 风险最低,收益最稳定
  • 适合极度厌恶风险的投资者

一级债基

  • 主要投资债券,可参与新股申购
  • 风险较低,收益相对稳定
  • 适合稳健型投资者

二级债基

  • 主要投资债券,可投资少量股票(通常不超过20%)
  • 风险适中,收益相对较高
  • 适合平衡型投资者

可转债基金

  • 主要投资可转债
  • 风险较高,收益潜力较大
  • 适合积极型投资者
按债券久期分类

短债基金

  • 投资久期较短的债券(通常1年以内)
  • 利率风险较小,收益相对较低
  • 适合短期投资和流动性需求高的投资者

中债基金

  • 投资久期中等的债券(通常1-5年)
  • 利率风险适中,收益适中
  • 适合中长期投资者

长债基金

  • 投资久期较长的债券(通常5年以上)
  • 利率风险较大,收益相对较高
  • 适合长期投资者
按信用评级分类

利率债基金

  • 主要投资国债、政策性金融债等利率债
  • 信用风险极低,收益相对较低
  • 适合极度厌恶信用风险的投资者

信用债基金

  • 主要投资企业债、公司债等信用债
  • 信用风险较高,收益相对较高
  • 适合愿意承担一定信用风险的投资者

债券基金的优势

收益优势

  • 收益相对稳定,波动较小
  • 定期分红,提供现金流
  • 长期收益相对稳健

风险优势

  • 风险低于股票基金
  • 最大回撤相对较小
  • 与股票相关性低,分散风险

配置优势

  • 适合作为组合的防御性资产
  • 与股票资产形成互补
  • 降低整体组合波动

债券基金核心指标分析

1. 久期(Duration)

定义:久期是衡量债券价格对利率变化敏感度的指标,久期越长,债券价格对利率变化越敏感。

久期分类

  • 短久期:1年以下
  • 中久期:1-5年
  • 长久期:5年以上

久期影响

  • 利率上升1%,久期为3年的债券基金价格约下跌3%
  • 利率下降1%,久期为3年的债券基金价格约上涨3%

投资策略

  • 预期利率上升:选择短久期债券基金
  • 预期利率下降:选择长久期债券基金
  • 预期利率平稳:选择中久期债券基金

2. 信用评级

信用评级分类

  • AAA级:最高信用等级,信用风险极低
  • AA级:高信用等级,信用风险很低
  • A级:中高信用等级,信用风险较低
  • BBB级:中等信用等级,信用风险适中
  • BB级及以下:低信用等级,信用风险较高

投资策略

  • 保守型投资者:选择AAA级、AA级债券基金
  • 稳健型投资者:选择AA级、A级债券基金
  • 积极型投资者:可适当配置BBB级债券基金

3. 收益率

收益率类型

  • 七日年化收益率:最近7天的年化收益率
  • 近一年收益率:最近一年的实际收益率
  • 近三年收益率:最近三年的年化收益率
  • 成立以来收益率:基金成立以来的年化收益率

收益率分析

  • 横向对比:与同类基金对比收益率
  • 纵向对比:与历史收益率对比
  • 风险调整后收益:考虑风险后的收益率

Read the full file on GitHub · 753 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 11d ago First seen · 753 lines · 56 tokens per session scan A 658053022eeb

Subscribe to this mod's changes

bond-fund-analysis is a skill published in the GitHub repository belos-street/stock-analytics-skill (49 stars, last pushed 1mo ago), licensed MIT. It adds 56 tokens to every session and 6,017 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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