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 panaversity/agentfactory-business-plugins --skill liquidity-lcrgit clone --depth 1 https://github.com/panaversity/agentfactory-business-pluginsWrote 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/panaversity/agentfactory-business-plugins/liquidity-lcr)<a href="https://agentmods.dev/skills/panaversity/agentfactory-business-plugins/liquidity-lcr"><img src="https://agentmods.dev/badge/skills/panaversity/agentfactory-business-plugins/liquidity-lcr/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/panaversity/agentfactory-business-plugins/liquidity-lcr"><img src="https://agentmods.dev/badge/skills/panaversity/agentfactory-business-plugins/liquidity-lcr.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00108 | $0.01892 |
| Opus 5 | $0.00054 | $0.00946 |
| Sonnet 5 | $0.00022 | $0.00378 |
| Haiku 4.5 | $0.00011 | $0.00189 |
Grade A, and why
liquidity-lcr 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 12d 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 — 161 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LCR FORMULA
LCR = HQLA Stock / Total Net Cash Outflows (30-day stress) >= 100%
Minimum regulatory: 100% Management buffer best practice: 110-130% (gives operating room above minimum)
HQLA CATEGORISATION AND HAIRCUTS
Level 1 Assets — No Haircut
- Coins and banknotes
- Central bank reserves (eligible for withdrawal in stress)
- Central government / central bank bonds in domestic currency
- Central government / central bank bonds in foreign currency (up to 15% cap per currency)
- Qualifying 0% risk weight sovereign bonds in Basel SA Level 1 assets: NO haircut, NO cap as proportion of HQLA.
Level 2A Assets — 15% Haircut
- Sovereign / central bank / MDB bonds rated AA- or above (not qualifying for Level 1)
- Non-0% RW sovereign bonds from countries with low risk
- Qualifying corporate bonds rated AA- or above
- Qualifying covered bonds rated AA or above Level 2A assets after haircut: capped at 40% of total HQLA after haircuts.
Level 2B Assets — 25-50% Haircuts (national discretion to include)
- Qualifying RMBS (residential mortgage-backed securities): 25% haircut
- Qualifying corporate bonds rated A+ to BBB-: 50% haircut
- Qualifying equities in main stock index: 50% haircut Level 2B assets after haircut: capped at 15% of total HQLA after haircuts. Combined Level 2A + 2B cap: 40% of total HQLA after haircuts.
HQLA CALCULATION EXAMPLE — WITH LEVEL 2 CAP CHECK
Level 1: 800M x 100% = 800M Level 2A: 100M x 85% = 85M Level 2B: 60M x 75% = 45M (after 25% RMBS haircut) Subtotal before cap: 930M Level 2 cap check: Level 2 = 130M. 40% of 930M = 372M. Cap not binding. HQLA Stock = 930M
Example Where Level 2 Cap IS Binding
Level 1: 200M x 100% = 200M Level 2A: 200M x 85% = 170M Level 2B: 100M x 50% = 50M (after 50% equity haircut) Subtotal before cap: 420M Level 2 cap check: Level 2 = 220M. 40% of 420M = 168M. CAP IS BINDING. Adjusted Level 2 = 168M. Excess 52M excluded. HQLA Stock = 200M + 168M = 368M (not 420M)
The Level 2 cap commonly binds for banks with limited sovereign bond portfolios that rely heavily on corporate bonds or RMBS for their liquidity buffer.
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.
- 12d ago First seen · 161 lines · 108 tokens per session scan A e8485d8dd080
liquidity-lcr is a skill published in the GitHub repository panaversity/agentfactory-business-plugins (29 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 108 tokens to every session and 1,892 once invoked, about $0.0005 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.
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