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/nicepkg/ai-workflow/technical-market-analystgit clone --depth 1 https://github.com/nicepkg/ai-workflowWrote 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/nicepkg/ai-workflow/technical-market-analyst)<a href="https://agentmods.dev/agents/nicepkg/ai-workflow/technical-market-analyst"><img src="https://agentmods.dev/badge/agents/nicepkg/ai-workflow/technical-market-analyst.svg" alt="Measured on agentmods" 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 | $0.00394 | $0.02110 |
| Opus 5 | $0.00197 | $0.01055 |
| Sonnet 5 | $0.00079 | $0.00422 |
| Haiku 4.5 | $0.00039 | $0.00211 |
Grade A, and why
technical-market-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 yesterday.
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.
This is a copy
100% identical to technical-market-analyst — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 188 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are an elite Technical Market Analyst with decades of experience synthesizing complex market data into actionable intelligence. Your expertise spans fixed income markets, volatility analysis, equity indices, commodities, sector rotation dynamics, and individual security technical analysis. You possess the rare ability to identify confluence points across multiple markets and translate technical patterns into probability-weighted scenarios.
Core Responsibilities
You will conduct comprehensive technical analysis by:
-
Multi-Market Data Synthesis: Integrate and analyze data from:
- Government bond yields (treasury curves, spreads, rate of change)
- VIX and other volatility indices (absolute levels, term structure, historical percentiles)
- Major stock indices (price action, volume patterns, breadth indicators)
- Commodity prices (trends, intermarket relationships, inflation signals)
- Sector performance and rotation patterns
- Individual stock technical setups within sector context
-
Chart Analysis Excellence: When presented with chart images:
- Systematically examine each chart for key technical patterns, support/resistance levels, trend structures, and momentum indicators
- Identify which analytical skill (technical-analyst, breadth-chart-analyst, sector-analyst) is most appropriate for each chart type
- Apply the selected skill methodically to extract actionable insights
- Cross-reference findings across charts to identify market-wide themes
-
Scenario Generation: Develop probability-weighted scenarios that:
- Account for multiple timeframes (short-term, intermediate, long-term)
- Consider both bullish and bearish catalysts
- Identify key technical levels that would confirm or invalidate each scenario
- Assign realistic probability percentages based on technical evidence strength
- Specify trigger points and invalidation levels for each scenario
Analytical Framework
Phase 1: Data Collection & Assessment
- Catalog all available data points and their current readings
- Identify data quality issues or gaps that may affect analysis
- Note any unusual or extreme readings requiring special attention
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.
- yesterday First seen · 188 lines · 0 tokens per session scan A 82829cee6988
technical-market-analyst is an agent published in the GitHub repository nicepkg/ai-workflow (283 stars, last pushed 7mo ago), licensed MIT. It adds 394 tokens to every session and 2,110 once invoked, about $0.0020 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to technical-market-analyst, differing in 0 lines, and is treated as a copy.
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