credit-brief

credit-brief is a skill for Claude Code from Travisun/Opptrix. It costs 55 tokens per session (682 once invoked), scanned A, original, Apache-2.0.

A credit-analysis brief focused on debt levels, ability to cover interest payments, and credit-related news, without assigning external rating letters.

In plain words
What is it for?
Use it to calculate leverage and coverage measures, review debt structure and relevant news, separate facts from inferences, and produce a web report.
Why use it?
It helps assess debt pressure from available financial statements and sourced information when no external ratings database is available.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Good fit Use it to calculate leverage and coverage measures, review debt structure and relevant news, separate facts from inferences, and produce a web report.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/travisun/opptrix/credit-brief
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add Travisun/Opptrix --skill credit-brief
Clone the repo
git clone --depth 1 https://github.com/Travisun/Opptrix

Made for: Claude Code.

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 credit-brief

README.md
[![agentmods](https://agentmods.dev/badge/skills/travisun/opptrix/credit-brief.svg)](https://agentmods.dev/skills/travisun/opptrix/credit-brief)
Your own site
<a href="https://agentmods.dev/skills/travisun/opptrix/credit-brief"><img src="https://agentmods.dev/badge/skills/travisun/opptrix/credit-brief.svg" alt="Measured on agentmods" height="20"></a>
Per session 55 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 682 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 $0.00055 $0.00682
Opus 5 $0.00028 $0.00341
Sonnet 5 $0.00011 $0.00136
Haiku 4.5 $0.00006 $0.00068

Measured 9d ago against content hash 9171b0e30ef7, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

credit-brief 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 9d 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.

packages/agent-skills/builtin/credit-brief/SKILL.md · 61 lines

What it actually says

信用简报

何时使用

用户要看债务杠杆与信用相关议题。边界:盈利质量/应计红旗用 @skill:earnings-quality;完整三表预测用 @skill:financial-model。本技能算杠杆与覆盖率并扫信用舆情,禁止伪造外部评级字母

能力声明(开篇强制横幅)

not-feasible-now:本地无外部信用评级库。可根据财务报表计算杠杆与覆盖率禁止伪造 AAA/AA 等评级字母或假装拉取穆迪/标普/中债资信结果。

分析架构(投研方法)

  • 问题/假设:杠杆与偿债指标处于何水平?舆情是否指向信用事件?
  • 证据清单:财务三表、资讯/browser
  • 事实 | 假设 | 推断 分栏

数据维度

维度 取数方向 缺失时
财务 get_instrument_financials / balance / cash_flow 标明无法算杠杆
概况 get_instrument_profile 从简
舆情 list_news_articles / browser 无则不做舆情章
交付 list_web_vendorcreate_web 可跳过口头要点

步骤

  1. 开篇横幅(无评级库)。
  2. 计算杠杆/利息保障等(公式写入报告)。
  3. 舆情议题仅带来源;交付网页。

网页报告建议目录

  1. 能力声明横幅
  2. 杠杆与覆盖率事实表
  3. 债务结构(若可得)
  4. 舆情/争议扫描
  5. 事实 / 推断分栏
  6. 免责声明

禁止

  • 禁止伪造信用评级字母
  • 荐股;禁止无交付就结束
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. 9d ago First seen · 61 lines · 55 tokens per session scan A 9171b0e30ef7

Subscribe to this mod's changes

credit-brief is a skill published in the GitHub repository Travisun/Opptrix (231 stars, last pushed yesterday), licensed Apache-2.0. It adds 55 tokens to every session and 682 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.

Related

Other skills, from other repositories

national-team-position

A Chinese-language analysis tool that estimates changes in China’s government-backed ETF holdings by tracking ETF share counts and related index prices. ETFs are funds traded on stock exchanges, and the “national team” refers here to Central Huijin, a state investment company.

Xiaoyuan-Liu/national-team-position · 161 tokens

caijing-ipo-hk

A Chinese-language adviser for Hong Kong stock initial public offerings, or IPOs—the first sale of a company's shares to the public. It covers how to apply, how much to apply for, and risks such as the share price falling below the offering price.

nekopunch11/rodya-caijing-studio · 209 tokens

caijing-fundamental

A finance research skill for writing a detailed, forward-looking analysis of a listed company’s business, financials, valuation, risks, and investment arguments. It covers companies listed in mainland China and Hong Kong.

nekopunch11/rodya-caijing-studio · 188 tokens

rodya-caijing-studio

A toolkit for researching Chinese A-share and Hong Kong-listed companies and producing financial content. It includes separate workflows for company fundamentals, earnings, valuation, risks, industries, and IPO checks.

nekopunch11/rodya-caijing-studio · 171 tokens

caijing-earnings

A finance research skill for reviewing listed companies’ earnings reports, or preparing for an upcoming report. It focuses on Chinese A- and Hong Kong-listed companies.

nekopunch11/rodya-caijing-studio · 215 tokens

caijing-valuation

A Chinese-language adviser that assesses whether a stock's current valuation looks high or low. It adapts the comparison to the industry and examines historical and peer-company valuation ranges.

nekopunch11/rodya-caijing-studio · 161 tokens