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.
npx skills add JoelLewis/finance_skills --skill counterparty-riskgit clone --depth 1 https://github.com/JoelLewis/finance_skillsWrote 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.
[](https://agentmods.dev/skills/joellewis/finance_skills/counterparty-risk)<a href="https://agentmods.dev/skills/joellewis/finance_skills/counterparty-risk"><img src="https://agentmods.dev/badge/skills/joellewis/finance_skills/counterparty-risk/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.
<a href="https://agentmods.dev/skills/joellewis/finance_skills/counterparty-risk"><img src="https://agentmods.dev/badge/skills/joellewis/finance_skills/counterparty-risk.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00172 | $0.03521 |
| Opus 5.5 | $0.00069 | $0.01408 |
| Sonnet 5.5 | $0.00034 | $0.00704 |
| Haiku 4.5 | $0.00017 | $0.00352 |
Grade A, and why
counterparty-risk 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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Counterparty Risk
Core Concepts
Workflow A: Assessing a New Counterparty
- Identify the legal entity and verify netting enforceability. Map the exact legal entity (not the corporate group), its jurisdiction, and entity type. Confirm close-out netting enforceability via ISDA netting opinions for that jurisdiction and entity-type combination before counting any netting benefit — where enforceability is uncertain, risk and capital must be measured gross. Apply the sovereign ceiling for counterparties in jurisdictions with material sovereign risk.
- Assess credit quality from three angles. External ratings are a baseline but a lagging indicator — they typically reprice after the market has. Internal scoring: for banks, focus on CET1 (strong banks hold >12%), leverage ratio (well-capitalized banks target 5%+), LCR/NSFR (minimum 100%), and NPL trend; for corporates, debt/EBITDA, interest coverage (below 2x signals stress), free cash flow, and Altman Z-score, plus qualitative factors (management, franchise, regulatory standing). Market-implied: CDS spreads react fastest — annual PD ≈ CDS_spread / (1 − recovery); a 200bp spread at 40% recovery implies roughly 3.3% annual default probability.
- Determine the trading channel: cleared vs. bilateral. Standardized interest rate swaps in major currencies and index CDS must clear under Dodd-Frank Title VII / EMIR (end-user hedging exemptions exist). Non-mandated products stay bilateral under the uncleared margin rules: zero VM threshold, IM threshold up to $50 million per counterparty group, and IM held segregated at a third-party custodian with no rehypothecation. Client clearing adds clearing-member risk: evaluate portability provisions and maintain a backup clearing member.
- Negotiate documentation. ISDA Master Agreement (the 2002 version uses the Close-out Amount methodology; many legacy relationships remain on the 1992 version's Market Quotation/Loss — know which governs each relationship), Schedule elections (governing law, Specified Entities, cross-default thresholds, additional termination events such as NAV triggers), and CSA terms: threshold, minimum transfer amount, independent amount/IM, eligible collateral and haircuts, valuation frequency (daily is standard), and dispute resolution. Link the CSA threshold to ratings so it steps down — ideally to zero — on downgrade.
- Set the credit limit. Tier by credit quality, with sub-limits by product and tenor (long-dated exposure is more uncertain) and a settlement limit separate from the pre-settlement limit. Apply explicit add-ons or reduced limits for wrong-way risk, where exposure and counterparty credit quality are positively correlated (general WWR: PD correlated with market factors; specific WWR: structural, e.g., a put written on the counterparty's own stock).
- Stand up measurement and monitoring. Compute current exposure CE = max(V, 0); PFE at 95-97.5% confidence via Monte Carlo (simulate risk-factor paths, revalue the netting set at each time step, take the percentile of max(value, 0)); EE/EPE as the capital basis; EAD = 1.4 × (RC + PFE add-on) under SA-CCR; CVA = LGD × Σ EE_i × PD_i × DF_i. Aggregate across all desks, products, and legal entities facing the counterparty — a trade missing from the counterparty risk system is unmeasured exposure. Wire pre-deal limit checks into order flow, monitor post-trade for market-driven breaches, alert at ~80% utilization, and hard-block at 100%. Review cadence: annual full review for top-tier names, semi-annual for lower tiers, monthly (or more) for the watch list.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 1mo ago First seen · 83 lines · 172 tokens per session scan A 4c726c6d0feb
counterparty-risk is a skill published in the GitHub repository JoelLewis/finance_skills (218 stars, last pushed 3mo ago), licensed MIT. It adds 172 tokens to every session and 3,521 once invoked, about $0.0007 per session on Opus 5.5. 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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