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 agentii-ai/agentii-investment-intelligence --skill chart-patternsgit clone --depth 1 https://github.com/agentii-ai/agentii-investment-intelligenceWrote 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/agentii-ai/agentii-investment-intelligence/chart-patterns)<a href="https://agentmods.dev/skills/agentii-ai/agentii-investment-intelligence/chart-patterns"><img src="https://agentmods.dev/badge/skills/agentii-ai/agentii-investment-intelligence/chart-patterns/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/agentii-ai/agentii-investment-intelligence/chart-patterns"><img src="https://agentmods.dev/badge/skills/agentii-ai/agentii-investment-intelligence/chart-patterns.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00073 | $0.01825 |
| Opus 5 | $0.00036 | $0.00912 |
| Sonnet 5 | $0.00015 | $0.00365 |
| Haiku 4.5 | $0.00007 | $0.00183 |
Grade A, and why
chart-patterns 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 5d 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 — 169 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Methodology inspired by publicly taught price action trading frameworks; all text is an original paraphrase.
Defaults
| Parameter | Default Value | Rationale |
|---|---|---|
| bar_count_threshold | 20 bars | Pullback > 20 bars = full Trading Range |
| reversal_steps | 5 | All trend reversals follow the same 5-step mechanical sequence |
| wedge_legs | 3 | Wedge requires three pushes at a trend extreme |
| climax_aftermath | Trading Range | After a climax, market enters TR before any reversal |
Preflight
Run canonical pre-flight per contracts/preflight.md. Propagate X-Agentii-Trace per contracts/x-agentii-trace-header.md.
Data Source Priority
- Chart patterns framework —
references/chart-patterns-reference.md(bundled full pattern methodology) - Upstream context — market structure classification from
price-actionskill output - Technical setups —
search_technical_setups(pattern_type=..., market_condition=..., timeframe=...)for matching againstgold.technical_setups
Methodology
Retrieval Scope
structured_only
Retrieval Strategy
This skill follows Branch (d) Simple Lookup from contracts/retrieval.md: the pattern recognition framework is bundled in references/chart-patterns-reference.md. Real-time price data via get_realtime_quote. Matched technical setups via search_technical_setups. No unstructured document retrieval.
Temporal Scope
See frontmatter temporal_scope block.
Tool Allowlist
See frontmatter allowed_tools.
Protocol
This skill implements the price action trading pattern recognition framework: 17 distinct chart pattern types, each with specific identification criteria, decision rules, and entry/exit parameters. The core architecture: Setup = Context + Signal Bar — context (from price-action skill) determines which patterns are valid. A perfect signal bar in the wrong context is a losing trade. Detailed methodology and pattern-specific rules are in references/chart-patterns-reference.md.
What ships with it
3 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.
- 5d ago First seen · 169 lines · 73 tokens per session scan A c8db198422eb
chart-patterns is a skill published in the GitHub repository agentii-ai/agentii-investment-intelligence (203 stars, last pushed yesterday), licensed Apache-2.0. It adds 73 tokens to every session and 1,825 once invoked, about $0.0004 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 2026-09-05.
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