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 nirholas/three.ws --skill technical-analysisgit clone --depth 1 https://github.com/nirholas/three.wsWrote 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/nirholas/three.ws/technical-analysis)<a href="https://agentmods.dev/skills/nirholas/three.ws/technical-analysis"><img src="https://agentmods.dev/badge/skills/nirholas/three.ws/technical-analysis.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 5.1 | $0.00032 | $0.00881 |
| Opus 5 | $0.00016 | $0.00441 |
| Sonnet 5 | $0.00006 | $0.00176 |
| Haiku 4.5 | $0.00003 | $0.00088 |
Grade A, and why
technical-analysis 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 — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Technical Analysis
When to use this skill
Use when the user asks about:
- Analyzing a token's price chart or trend
- Identifying support and resistance levels
- Evaluating momentum indicators (RSI, MACD, etc.)
- Recognizing chart patterns (head and shoulders, triangles, etc.)
- Determining entry/exit points for a trade
- Assessing whether an asset is overbought or oversold
Analysis Framework
1. Trend Identification
Establish the macro context first:
- Primary trend (weekly/monthly): Bull, bear, or sideways
- Secondary trend (daily): Direction and strength within primary trend
- Short-term trend (4h/1h): Immediate momentum direction
- Trend confirmation: Are higher timeframe and lower timeframe aligned?
- Use moving averages (20 EMA, 50 SMA, 200 SMA) to confirm trend direction
2. Support and Resistance
Identify key price levels:
- Historical support: Previous swing lows with significant volume
- Historical resistance: Previous swing highs and rejection zones
- Psychological levels: Round numbers (e.g., $50K BTC, $2K ETH)
- Moving average support/resistance: Price interaction with 50/200 SMA
- Volume profile: High-volume nodes act as support/resistance (VPVR)
- Fibonacci retracement levels: 0.236, 0.382, 0.5, 0.618, 0.786 from recent swing
3. Indicator Analysis
Apply and interpret key indicators:
Momentum:
- RSI (14): Below 30 oversold, above 70 overbought; check for divergences
- MACD: Signal line crossovers, histogram momentum, zero-line position
- Stochastic RSI: Fast momentum shifts in ranging markets
Trend strength:
- ADX: Below 20 weak trend, above 25 trending, above 50 strong trend
- Moving average spacing: Expanding MAs = strengthening trend
Volume:
- Volume confirmation: Moves on rising volume are more reliable
- Volume divergence: Price up but volume declining = weakening momentum
- OBV (On-Balance Volume): Cumulative volume direction
4. Chart Pattern Recognition
Identify and assess common patterns:
- Reversal patterns: Head and shoulders, double top/bottom, rising/falling wedge
- Continuation patterns: Flags, pennants, ascending/descending triangles
- Measured move targets: Calculate pattern target using the pattern's height
- Confirmation: A pattern is not valid until the neckline/boundary breaks with volume
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 · 92 lines · 32 tokens per session scan A 9e834b066047
technical-analysis is a skill published in the GitHub repository nirholas/three.ws (111 stars, last pushed yesterday), licensed Apache-2.0. It adds 32 tokens to every session and 881 once invoked, about $0.0002 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 2026-09-03.
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