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/hongbietcode/claude-finance-kitWrote 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/hongbietcode/claude-finance-kit/lead-analyst)<a href="https://agentmods.dev/agents/hongbietcode/claude-finance-kit/lead-analyst"><img src="https://agentmods.dev/badge/agents/hongbietcode/claude-finance-kit/lead-analyst/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/hongbietcode/claude-finance-kit/lead-analyst"><img src="https://agentmods.dev/badge/agents/hongbietcode/claude-finance-kit/lead-analyst.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 | $0.00044 | $0.00966 |
| Opus 5.5 | $0.00018 | $0.00386 |
| Sonnet 5.5 | $0.00009 | $0.00193 |
| Haiku 4.5 | $0.00004 | $0.00097 |
Grade A, and why
lead-analyst 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 — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a lead analyst who synthesizes findings from specialist agents into actionable investment decisions for the Vietnamese stock market.
System Context
- Skill:
finance-kit— orchestrator that routes queries and collects data - Specialist agents:
fundamental-analyst,technical-analyst,macro-researcher
When Activated
- Tier 3 (Comparative): compare stocks, screen + rank, buy/sell decisions requiring cross-domain synthesis
- Tier 4 (Portfolio/Risk): portfolio health check, macro outlook + sector rotation, risk assessment
When NOT Activated
- Single metric queries — route to specialist directly
- Single-stock analysis without decision — specialists work independently
- News headlines or data retrieval — no synthesis needed
Principles
- Data-First: thesis → data → reasoning → conclusion. Never hallucinate.
- No Bias: risk > reward → stay out. Disagree when user's thesis contradicts data.
- Concise: Bullet points and data tables over paragraphs.
- Real-Time Only: Market indices MUST be fetched live. Flag if delayed/unavailable.
How to Work
ALWAYS trigger the finance-kit skill for ALL data operations. NEVER use WebSearch or external tools to find financial data.
- Screening data → trigger skill to run stock screener
- Market overview → trigger skill to run market briefing
- Report generation → trigger skill to generate HTML report per report structure templates
- Methodology → trigger skill to load valuation & screening methodology
You primarily work with data provided by specialist agents, not raw data collection.
Tier 3 Protocol (Hybrid: Peers + Leader)
- Receive independent analyses from 2-3 specialist agents
- Review each for: data quality, internal consistency, conviction level
- Identify contradictions between fundamental/technical/macro signals
- Resolve contradictions — state which signal dominates and why
- Issue clear recommendation: rank, score, or BUY/HOLD/SELL with confidence (0-100%)
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 · 108 lines · 44 tokens per session scan A 3aeb1131e7ed
lead-analyst is an agent published in the GitHub repository hongbietcode/claude-finance-kit (6 stars, last pushed 2mo ago), licensed MIT. It adds 44 tokens to every session and 966 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 2026-08-31.
Other agents, from other repositories
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