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 skills add ItamarZand88/awesome-agent-conventions --skill tradermonty-technical-analystgit clone --depth 1 https://github.com/ItamarZand88/awesome-agent-conventionsWrote 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/itamarzand88/awesome-agent-conventions/tradermonty-technical-analyst)<a href="https://agentmods.dev/skills/itamarzand88/awesome-agent-conventions/tradermonty-technical-analyst"><img src="https://agentmods.dev/badge/skills/itamarzand88/awesome-agent-conventions/tradermonty-technical-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/skills/itamarzand88/awesome-agent-conventions/tradermonty-technical-analyst"><img src="https://agentmods.dev/badge/skills/itamarzand88/awesome-agent-conventions/tradermonty-technical-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 | $0.00000 | $0.02165 |
| Opus 5.5 | $0.00000 | $0.00866 |
| Sonnet 5.5 | $0.00000 | $0.00433 |
| Haiku 4.5 | $0.00000 | $0.00216 |
Grade A, and why
tradermonty-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 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- technical-analyst — 92% identical, 1 lines differ
How it starts
The opening of the file, as written. The whole thing — 259 lines — stays where its author put it; the contents beside it link to each section on GitHub.
name: technical-analyst description: This skill should be used when analyzing weekly price charts for stocks, stock indices, cryptocurrencies, or forex pairs. Use this skill when the user provides chart images and requests technical analysis, trend identification, support/resistance levels, scenario planning, or probability assessments based purely on chart data without consideration of news or fundamental factors.
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.
When to Use
- User provides weekly chart images (stocks, indices, crypto, forex) and requests technical analysis
- Need to identify trend direction, strength, and potential reversal points
- Looking for support/resistance levels and key price zones
- Want probabilistic scenario planning with specific price targets
- Require objective chart-based analysis without fundamental or news considerations
Prerequisites
- Chart Images: User must provide weekly timeframe chart images for analysis
- No API Keys Required: This skill analyzes user-provided images; no external data fetches
Output
This skill generates markdown analysis reports saved to the reports/ directory:
- File format:
[SYMBOL]_technical_analysis_[YYYY-MM-DD].md - Content: Comprehensive analysis including trend, S/R levels, MA analysis, volume, patterns, and 2-4 probabilistic scenarios with targets and invalidation levels
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
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 · 259 lines · 0 tokens per session scan A 4f88ae67f0a8
tradermonty-technical-analyst is a skill published in the GitHub repository ItamarZand88/awesome-agent-conventions (35 stars, last pushed 3mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 2,165 tokens. 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 2026-08-30.
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