Finance data toolkit for DSH agents: number and currency formatting (incl. Chinese wan/yi units), return and CAGR math, valuation and profitability ratios, PV/FV, risk metrics, and a data-quality checklist.
Install
# from npm (prebuilt)
dsh plugin --profile web add dsh-plugin-finance-data
# from GitHub (first run asks for allowBuilds approval — follow the hint, retry)
dsh plugin --profile web add github:863683348/dsh-plugin-finance-data
Any plugin you install runs third-party code with your own permissions — it can read your files, use your credentials, and reach the network, and tool approvals don’t sandbox it. GitHub-sourced plugins also run build scripts at install time. Only install sources you trust, and pin a commit (github:owner/repo#sha).
README
A finance data toolkit for DeepSeek Harness agents: guaranteed-correct number formatting, return math, ratios, time value, and risk metrics. The model explains; the plugin does the arithmetic.
Install
dsh plugin --profile <profile> add dsh-plugin-finance-data
Restart DSH. The finance_data tool is registered host-wide.
Tool
| action | purpose |
|---|---|
format |
Number/currency/percent formatting with thousands separators and Chinese 万/亿 units |
return |
Simple, log, and annualized (CAGR-style) returns |
ratio |
PE, PB, ROE, ROA, gross/net margin, debt-to-equity |
value |
Present value, future value, implied rate |
risk |
Mean, volatility, max drawdown, historical VaR(95), Sharpe from a return series |
checklist |
Data-quality checklist (source, as-of date, units, definitions) |
Config
All optional, on the composition row's config:
| key | default | meaning |
|---|---|---|
personaSection |
true |
register the finance prompt-guidance section |
sectionOrder |
6 |
prompt section order (persona is 0, ascending) |
Design
Pure logic (lib/finance.js) has zero DSH/Cordis imports and is unit-tested in isolation; lib/index.js is the thin Cordis plugin wiring the tool and the prompt section. No filesystem access — deterministic and side-effect free.
License
MIT
Links
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