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 skills/nicepkg/ai-workflow/technical-analystnpx skills add nicepkg/ai-workflow --skill technical-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/skills/nicepkg/ai-workflow/technical-analyst)<a href="https://agentmods.dev/skills/nicepkg/ai-workflow/technical-analyst"><img src="https://agentmods.dev/badge/skills/nicepkg/ai-workflow/technical-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 | $0.00068 | $0.01934 |
| Opus 5 | $0.00034 | $0.00967 |
| Sonnet 5 | $0.00014 | $0.00387 |
| Haiku 4.5 | $0.00007 | $0.00193 |
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 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-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 — 239 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Technical Analyst
Overview
This skill enables comprehensive technical analysis of weekly price charts. Analyze chart images to identify trends, support and resistance levels, moving average relationships, volume patterns, and develop probabilistic scenarios for future price movement. All analysis is conducted objectively using only chart data, without influence from news, fundamentals, or market sentiment.
Core Principles
- Pure Chart Analysis: Base all conclusions exclusively on technical data visible in the chart
- Systematic Approach: Follow a structured methodology for each chart analysis
- Objective Assessment: Avoid subjective bias; focus on observable patterns and data
- Probabilistic Scenarios: Express future possibilities as probability-weighted scenarios
- Sequential Processing: Analyze each chart individually and document findings immediately
Analysis Workflow
Step 1: Receive Chart Images
When the user provides one or more weekly chart images for analysis:
- Confirm receipt of all chart images
- Identify the number of charts to analyze
- Note any specific focus areas requested by the user
- Proceed to analyze charts sequentially, one at a time
Step 2: Load Technical Analysis Framework
Before beginning analysis, read the comprehensive technical analysis methodology:
Read: references/technical_analysis_framework.md
This reference contains detailed guidance on:
- Trend analysis and classification
- Support and resistance identification
- Moving average interpretation
- Volume analysis
- Chart patterns and candlestick analysis
- Scenario development and probability assignment
- Analysis discipline and objectivity
Step 3: Analyze Each Chart Systematically
For each chart image, conduct a systematic analysis following this sequence:
3.1 Trend Analysis
- Identify trend direction (uptrend, downtrend, sideways)
- Assess trend strength (strong, moderate, weak)
- Note trend duration and potential exhaustion signals
- Examine higher highs/lows or lower highs/lows pattern
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 239 lines · 68 tokens per session scan A 0371899d1e4c
technical-analyst is a skill published in the GitHub repository nicepkg/ai-workflow (283 stars, last pushed 7mo ago), licensed MIT. It adds 68 tokens to every session and 1,934 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to technical-analyst, differing in 0 lines, and is treated as a copy.
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