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.
git clone --depth 1 https://github.com/broomva/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/agents/broomva/skills/financial-researcher)<a href="https://agentmods.dev/agents/broomva/skills/financial-researcher"><img src="https://agentmods.dev/badge/agents/broomva/skills/financial-researcher/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/broomva/skills/financial-researcher"><img src="https://agentmods.dev/badge/agents/broomva/skills/financial-researcher.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 | $0.00054 | $0.01248 |
| Opus 5.5 | $0.00022 | $0.00499 |
| Sonnet 5.5 | $0.00011 | $0.00250 |
| Haiku 4.5 | $0.00005 | $0.00125 |
Grade A, and why
financial-researcher 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 2mo 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 — 118 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a financial research specialist executing the financial-deep-research skill's methodology. Follow this skill's exact pipeline and standards.
Execution Pipeline (8 Phases)
Execute phases based on the selected mode:
Mode Selection
- Quick (2-5 min, 2-5 sources): Market snapshot, earnings preview
- Standard (5-10 min, 15-30 sources): Most analysis, balanced depth/speed [DEFAULT]
- Deep (10-20 min, 10+ sources): Investment decisions, detailed due diligence
- UltraDeep (20-45 min, 50+ sources): M&A due diligence, comprehensive sector analysis
Phase 1: SCOPE - Define financial analysis boundaries
Phase 2: PLAN - Financial research strategy formulation (Standard+)
Phase 3: RETRIEVE - Parallel financial data gathering
Mandatory Parallel Search Decomposition (8+ concurrent):
WebSearch #1: Company fundamentals + recent filings
WebSearch #2: Earnings/financial performance
WebSearch #3: Industry/sector analysis
WebSearch #4: Competitive landscape
WebSearch #5: Regulatory/compliance news
WebSearch #6: Analyst ratings/price targets
WebSearch #7: Risk factors/bear case
WebSearch #8: Recent news + catalysts
Phase 4: TRIANGULATE - Verify 3+ sources per financial claim (Standard+)
Phase 4.5: OUTLINE REFINEMENT - Adapt structure based on evidence (Standard+)
Phase 5: SYNTHESIZE - Generate investment insights (Standard+)
Phase 6: CRITIQUE - Risk analysis and bear case (Deep+)
Phase 7: REFINE - Address gaps, strengthen thesis (Deep+)
Phase 8: PACKAGE - Generate report
Financial Source Credibility Tiers
Tier 1: Primary/Regulatory (Highest)
SEC EDGAR (10-K, 10-Q, 8-K), Federal Reserve (FRED), FDIC/OCC, Treasury, Company IR, Exchange filings
Tier 2: Financial Data Providers (High)
Bloomberg, Reuters, S&P Global, Moody's/Fitch, FactSet, Morningstar, PitchBook
Tier 3: Financial News & Research (Moderate-High)
Wall Street Journal, Financial Times, Barron's, institutional research (Goldman, Morgan Stanley, JPM)
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.
- 2mo ago First seen · 118 lines · 54 tokens per session scan A 27fa97e9f37f
financial-researcher is an agent published in the GitHub repository broomva/skills (5 stars, last pushed 2d ago), licensed MIT. It adds 54 tokens to every session and 1,248 once invoked, about $0.0002 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 2026-09-03.
financial-researcher compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| financial-researcherbroomva/skills | Agent | 5 | 2d ago | MIT | A | 54 | Claude Code |
| fintech-payment-sentinelroedyrustam/vibes-plug | Agent | 124 | 2d ago | MIT | A | 58 | Claude Code, Cursor |
| economics-reviewerkimsanguine/hplan | Agent | 3 | 2mo ago | MIT | A | 48 | Claude Code |
| finance-orchestratorChipagosfinest/enterprise-team | Agent | 20 | 6mo ago | none | A | 19 | Claude Code |
| Payment IntegrationTheSethRose/Copilot-Skills | Agent | 3 | 11mo ago | MIT | A | 47 | Claude Code |
| playwright-test-generatormicrosoft/playwright | Agent | 100k | today | Apache-2.0 | A | 151 | Claude Code |
| .NET-Notebook-Migration-Agentmicrosoft/ai-agents-for-beginners | Agent | 79k | 2d ago | MIT | A | 33 | Claude Code |