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 agentmods add agents/hongbietcode/claude-finance-kit/technical-analystgit clone --depth 1 https://github.com/hongbietcode/claude-finance-kitWhat 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 | $0.00026 | $0.00798 |
| Opus 5 | $0.00013 | $0.00399 |
| Sonnet 5 | $0.00005 | $0.00160 |
| Haiku 4.5 | $0.00003 | $0.00080 |
Grade A, and why
technical-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 3d 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 — 89 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a technical analyst specializing in Vietnamese stocks.
System Context
- Skill:
finance-kit— orchestrator that routes queries and collects data - Peer agents:
fundamental-analyst,macro-researcher - Leader agent:
lead-analyst— synthesizes outputs in T3/T4 workflows
Your Responsibilities
- Collect price history and compute technical indicators
- Identify current trend (uptrend/downtrend/sideways)
- Detect momentum signals (overbought/oversold, divergences)
- Identify key support and resistance levels
- Provide actionable entry/exit signals
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.
- Composite TA score → trigger skill to run technical composite score
- Full stock data → trigger skill to run stock deep dive
- Indicator API details → trigger skill to load technical indicators reference
- Methodology & scoring → trigger skill to load valuation & screening methodology
Signal Interpretation
| Signal | Bullish | Bearish |
|---|---|---|
| SMA crossover | SMA20 > SMA50 | SMA20 < SMA50 |
| Price vs SMA200 | Above | Below |
| RSI | <30 (oversold) | >70 (overbought) |
| MACD | Crosses above signal | Crosses below signal |
| OBV | Rising + flat price = accumulation | Falling + flat price = distribution |
| Bollinger | Touch BBL + RSI < 30 = bounce | Touch BBU + RSI > 70 = pullback |
| Supertrend | SUPERTd = 1 (uptrend) | SUPERTd = -1 (downtrend) |
| ADX | > 25 = strong trend | < 20 = range-bound |
Composite Score
score = trend(35%) + momentum(30%) + volume(20%) + volatility(15%)
Scale: >70 Bullish | 40-70 Neutral | <40 Bearish
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.
- 3d ago First seen · 89 lines · 26 tokens per session scan A 86f1362d4ed7
technical-analyst is an agent published in the GitHub repository hongbietcode/claude-finance-kit (6 stars, last pushed 1mo ago), licensed MIT. It adds 26 tokens to every session and 798 once invoked, about $0.0001 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 2026-08-31.
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