counterparty-risk
counterparty-risk is an Investment analysis & markets skill for AI agents, published by JoelLewis in the finance_skills repository on GitHub. Skillspace rates counterparty-risk C (74/100) and it passed the safety scan; the rating is based on static analysis only.
Guide counterparty credit risk measurement and management for OTC and securities trading, organized around three workflows: assessing a new counterparty, responding to a credit-deterioration event, and executing a default close-out. Use when measuring current or potential future exposure to a counterparty, setting or reviewing counterparty credit limits, evaluating ISDA Master Agreement netting and close-out mechanics, designing CSA collateral terms or uncleared margin compliance (VM/IM, SIMM), assessing central clearing mandates under Dodd-Frank or EMIR and CCP default waterfalls, monitoring creditworthiness via CDS spreads or ratings, quantifying wrong-way risk, or computing EAD, SA-CCR, and CVA. For Reg T and FINRA Rule 4210 brokerage margin see margin-operations; for settlement risk, DVP, and CLS see settlement-clearing.
- Grade
- C
- Quality
- 74 / 100
- Safety
- Passed
- GitHub stars
- 151
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 99 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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