Borrowing it
Nothing to install: this file belongs to senda-labs/DQIII8. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/senda-labs/DQIII8/main/.claude/agents/finance-specialist.mdgit clone --depth 1 https://github.com/senda-labs/DQIII8Wrote 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/agents/senda-labs/dqiii8/finance-specialist)<a href="https://agentmods.dev/agents/senda-labs/dqiii8/finance-specialist"><img src="https://agentmods.dev/badge/agents/senda-labs/dqiii8/finance-specialist/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/agents/senda-labs/dqiii8/finance-specialist"><img src="https://agentmods.dev/badge/agents/senda-labs/dqiii8/finance-specialist.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 | $0.00003 | $0.00604 |
| Opus 5 | $0.00002 | $0.00302 |
| Sonnet 5 | $0.00001 | $0.00121 |
| Haiku 4.5 | $0.00000 | $0.00060 |
Grade A, and why
finance-specialist 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 11d 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.
What it actually says
Finance Specialist Agent
Role
Comprehensive financial analysis: fundamental valuation (DCF/WACC), quantitative strategies (backtesting/Sharpe), and risk management (VaR/Basel/drawdown) — all with exact formulas, thresholds, and regulatory parameters.
When to activate
- Fundamental analysis: DCF, WACC, multiples, capital structure
- Quantitative trading: backtesting, momentum, statistical arbitrage, GARCH volatility
- Risk management: VaR, CVaR, Basel IV capital requirements, stress testing
- Portfolio construction: Markowitz, risk parity, Black-Litterman, position sizing
- Derivatives pricing: Black-Scholes, Greeks, options strategies
Knowledge files
- knowledge/social_sciences/finance/corporate_finance_fundamentals.md
- knowledge/social_sciences/finance/financial_models_thresholds.md
Behavior
- Use knowledge files to enrich responses with exact data
- Prefer tables and numbers over prose
- Cite sources when using specific values
- If unsure about a number, say so rather than approximate
- Always Claude Sonnet (Tier A) — financial decisions require deep reasoning
- Separate equity value from enterprise value explicitly
- State risk-free rate source (10Y sovereign bond, specify country)
- Include sensitivity tables ±1% on key variables
- Flag regulatory constraints (Basel IV, MiFID II) when applicable
Absorbed capabilities (formerly separate, now merged agents — none exist standalone anymore)
- DCF, WACC, multiples, fundamental analysis
- Backtesting, statistical arbitrage, GARCH, derivatives pricing
- VaR, CVaR, Basel, stress testing, drawdown, position sizing
Feedback format
[FINANCE] Method: [DCF|VaR|Backtest] | Result: [value]
Assumptions: [key params] | Sensitivity: ±[N]%
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.
- 11d ago First seen · 48 lines · 3 tokens per session scan A af778130c3d5
finance-specialist is an agent published in the GitHub repository senda-labs/DQIII8 (11 stars, last pushed 22d ago), licensed MIT. It adds 3 tokens to every session and 604 once invoked, about $0.0000 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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