Agent skill

Llmquant Credit

by LLMQuant in LLMQuant/skills

Router skill for LLMQuant credit workflows. An agent skill from LLMQuant/skills.

MITAuto-check passedBusiness, Finance & HR

Install Llmquant Credit

skills CLI
$ npx skills add LLMQuant/skills --skill llmquant-credit -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install LLMQuant/skills llmquant-credit --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/LLMQuant/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/llmquant-credit .claude/skills/llmquant-credit && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
llmquant-credit
GitHub stars
229
Token cost
~548 tokens
SKILL.md length
220 words
Files
6 (incl. scripts, assets)
Skills in repo
18
Repo updated
First seen
Licence
MIT

At a glance

Router skill for LLMQuant credit workflows. An agent skill from LLMQuant/skills.

  • Works in 5 steps: Identify issuer, ticker, bond, index,… → Select the closest workflow below. → Open only that workflow and any… → …
  • The user needs issuer credit review
  • SKILL.md covers Routing Rules, Workflow Index and LLMQuant Data Contract
  • Spread regime analysis

What it does

Llmquant Credit is an agent skill from LLMQuant/skills. Router skill for LLMQuant credit workflows. Use when the user needs issuer credit review, spread regime analysis, high-yield stress monitoring, default risk, debt maturity, or covenant context.

Its SKILL.md is about 550 tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files, including scripts and assets (for example `workflows/credit-spread-regime.md`, `workflows/high-yield-stress-monitor.md` and `workflows/issuer-credit-risk-review.md`).

It sits in Business, Finance & HR, covering Stock and market analysis. The repository describes itself as: Reusable Skills for LLMQuant Agent, Claude Code, Claude.ai, Cursor, Hermes Agent, OpenClaw and Codex, grounded in LLMQuant Data. The licence is MIT.

When your agent uses it

  • The user needs issuer credit review
  • Spread regime analysis
  • High-yield stress monitoring
  • Covenant context

Example prompts

  • “/llmquant-credit”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Identify issuer, ticker, bond, index, sector, maturity bucket, credit rating, and horizon.
  2. Select the closest workflow below.
  3. Open only that workflow and any referenced local resources.
  4. Use LLMQuant Data for filings, debt schedule, fundamentals, rates, spreads, ratings, equity prices, CDS, and macro context.
  5. Report filing dates, market timestamps, rating dates, observation windows, stale notices, and missing inputs.

What it can do on your machine

Read from SKILL.md and the folder at commit 1918237. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/, which the agent can run.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Llmquant Credit loads about 548 tokens when it runs. Until then it costs about 52 tokens; SKILL.md has 220 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~52
When it runs · the whole SKILL.md, loaded when a task matches
~548

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from LLMQuant/skills at commit 1918237, republished under its MIT licence (© LLMQuant). 220 words, ~548 tokens.

Download SKILL.mdSave it as .claude/skills/llmquant-credit/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.
name
llmquant-credit
description
Router skill for LLMQuant credit workflows. Use when the user needs issuer credit review, spread regime analysis, high-yield stress monitoring, default risk, debt maturity, or covenant context.
input_data_source
LLMQuant Data
category
credit

LLMQuant Credit

This category routes credit research workflows for issuer risk, spread regimes, and high-yield stress.

Routing Rules

  1. Identify issuer, ticker, bond, index, sector, maturity bucket, credit rating, and horizon.
  2. Select the closest workflow below.
  3. Open only that workflow and any referenced local resources.
  4. Use LLMQuant Data for filings, debt schedule, fundamentals, rates, spreads, ratings, equity prices, CDS, and macro context.
  5. Report filing dates, market timestamps, rating dates, observation windows, stale notices, and missing inputs.

Workflow Index

User intentWorkflow
Review an issuer's balance-sheet, cash-flow, maturity, and covenant credit risk.workflows/issuer-credit-risk-review.md
Diagnose credit-spread regime, risk appetite, and sector pressure.workflows/credit-spread-regime.md
Monitor high-yield stress, refinancing risk, fallen angels, and default pressure.workflows/high-yield-stress-monitor.md

LLMQuant Data Contract

Prefer LLMQuant Data when available. The workflows may need these data capabilities:

  • Retrieve issuer filings, financial statements, debt schedules, maturity ladders, segment exposure, and risk factors.
  • Retrieve bond, CDS, spread, rating, recovery, default, and sector credit data when available.
  • Retrieve rates, yield curves, equity prices, volatility, liquidity, macro, commodity, and FX context.
  • Retrieve ETF holdings or fund-flow data for credit ETFs and crowded exposures when available.

Fallback:

  • If bond-level, CDS, or rating data is unavailable, use filings, equity, rates, and macro evidence while naming missing credit-market inputs.
  • Do not estimate covenant headroom or default probability without required terms and market data.

© LLMQuant, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 5 other files (scripts, assets) in skills/llmquant-credit of LLMQuant/skills.

  • SKILL.md
  • assets/.gitkeep
  • scripts/.gitkeep
  • workflows/credit-spread-regime.md
  • workflows/high-yield-stress-monitor.md
  • workflows/issuer-credit-risk-review.md

Open the folder on GitHubat commit 1918237

Compare with similar skills

Llmquant Credit next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Llmquant Credit compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Llmquant Credit this skillLLMQuant/skills229—~548Automated safety check: PassMIT
Stock APIzhangxiangliang/stock-api2k—~507Automated safety check: PassMIT
Tushare Datazillionare/zillionare3192 repos~2.3kAutomated safety check: PassNone
Tradingview MCPatilaahmettaner/tradingview-mcp5k—~1.3kAutomated safety check: PassMIT
Digital Oraclekomako-workshop/digital-oracle870—~5.9kAutomated safety check: PassMIT
Longbridge Researchhelsome/folio2693 repos~2.1kAutomated safety check: PassMIT

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Questions about Llmquant Credit

What does Llmquant Credit do?

Router skill for LLMQuant credit workflows. An agent skill from LLMQuant/skills. Llmquant Credit is an agent skill from LLMQuant/skills. Router skill for LLMQuant credit workflows.

When should I use Llmquant Credit?

Llmquant Credit fits situations like: the user needs issuer credit review; spread regime analysis; high-yield stress monitoring; covenant context.

How do I install Llmquant Credit in Claude Code?

Run `npx skills add LLMQuant/skills --skill llmquant-credit -a claude-code`. Or copy the skill folder (skills/llmquant-credit in LLMQuant/skills) into .claude/skills/llmquant-credit in your project. Claude Code loads it when a task matches its description.

How do I install Llmquant Credit in Codex?

Run `npx skills add LLMQuant/skills --skill llmquant-credit -a codex`. Or copy the skill folder (skills/llmquant-credit in LLMQuant/skills) into .agents/skills/llmquant-credit in your project. Codex loads it when a task matches its description.

Can I use Llmquant Credit in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add LLMQuant/skills --skill llmquant-credit -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/llmquant-credit, .gemini/skills/llmquant-credit, .github/skills/llmquant-credit and .opencode/skills/llmquant-credit in your project.

What does Llmquant Credit need to run?

SKILL.md names no scripts, command-line tools or credentials: Llmquant Credit is instructions for the agent only.

Does Llmquant Credit access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Llmquant Credit safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Llmquant Credit use?

Llmquant Credit is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Llmquant Credit use?

About 548 tokens (SKILL.md is roughly 2.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Llmquant Credit?

Skills that share tags, products or a category with Llmquant Credit: Stock API (zhangxiangliang/stock-api, 2k stars), Tushare Data (zillionare/zillionare, 319 stars), Tradingview MCP (atilaahmettaner/tradingview-mcp, 5k stars) and Digital Oracle (komako-workshop/digital-oracle, 870 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Llmquant Credit?

LLMQuant (a GitHub organization) maintains it in LLMQuant/skills, which has 229 GitHub stars. The repository holds 18 skills in this directory. The repository was last updated on May 30, 2026.

Source: LLMQuant/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.