mcpbeat

Llmquant Credit

llmquant/llmquant-credit

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.

2k tokens
context cost
the whole folder, loaded on every use
6
files
ships runnable scripts
0
copies elsewhere
how many repositories repackaged it
183
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/LLMQuant/skills --skill llmquant-credit

The instruction itself

4 sections, as written by the author

LLMQuant Credit

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

Routing Rules

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

Workflow Index

| User intent | Workflow |

|---|---|

| 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.

How to use it

Copy the folder

Take llmquant/llmquant-credit from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.