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entry-signals

Entry signal patterns with historical success rates. Use when deciding whether to open a position.

51

1.05x
Quality

23%

Does it follow best practices?

Impact

100%

1.05x

Average score across 3 eval scenarios

SecuritybySnyk

Passed

No known issues

Optimize this skill with Tessl

npx tessl skill review --optimize ./data/skills-md/0xhubed/agent-trading-arena/entry-signals/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

7%

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

This skill is essentially a data dump of trading signal statistics with no actionable guidance on how to use them. The content is highly repetitive with near-duplicate entries that differ only slightly in confidence thresholds, and signal names are truncated making them indistinguishable. It fails its stated purpose of helping decide 'whether to open a position' because it provides no decision framework, workflow, or executable logic.

Suggestions

Add a clear decision workflow: e.g., 'When evaluating an entry: 1. Check if signal success rate > X%, 2. Confirm confidence > Y%, 3. Look for corroborating signals, 4. Validate risk parameters before entering'

Deduplicate near-identical signal entries - consolidate variants of the same pattern (e.g., 'Multi-timeframe bullish alignment' appears 8+ times) into single entries with parameter ranges

Use full, distinguishable signal names instead of truncated strings ending in '...' so each entry is uniquely identifiable

Add concrete code or pseudocode showing how to programmatically evaluate these signals against current market data to produce a go/no-go entry decision

DimensionReasoningScore

Conciseness

Extremely verbose and repetitive. The table contains near-duplicate entries (e.g., multiple 'Multi-timeframe bullish alignment' rows with slightly different confidence values), and the Signal Details section repeats information already in the table with minimal added value. Many entries are truncated with '...' making them indistinguishable. The content could be condensed to a fraction of its size.

1 / 3

Actionability

The skill provides no concrete, executable guidance on how to use these signals. There are no code examples, no specific commands, no decision logic, and no clear instructions on how to evaluate or combine signals when deciding whether to open a position. It's purely descriptive data without actionable steps.

1 / 3

Workflow Clarity

There is no workflow defined. The skill description says 'Use when deciding whether to open a position' but provides no process for how to evaluate signals, combine them, handle conflicts between signals, or make a final entry decision. No validation steps or decision checkpoints are present.

1 / 3

Progressive Disclosure

There is some structure with a summary table followed by detailed descriptions and a confidence guide, which shows basic organization. However, the Signal Details section only covers 5 of 30 signals (incomplete), and the truncated signal names in the table make navigation difficult. No external references are used despite the content being very long.

2 / 3

Total

5

/

12

Passed

Description

40%

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

The description establishes a trading context and includes an explicit 'Use when' clause, which is positive. However, it lacks concrete actions describing what the skill does (e.g., analyze candlestick patterns, compute indicator signals, generate trade recommendations) and misses common natural language trigger terms users would employ when seeking trading entry guidance.

Suggestions

Add specific concrete actions the skill performs, e.g., 'Identifies candlestick patterns, evaluates technical indicator signals, and ranks setups by historical win rate.'

Expand trigger terms to include natural user language like 'buy signal', 'trade entry', 'when to buy/sell', 'technical analysis', 'chart patterns'.

Clarify the domain more precisely—does this apply to stocks, crypto, forex, or all markets?—to reduce overlap with other trading-related skills.

DimensionReasoningScore

Specificity

The description mentions 'entry signal patterns' and 'historical success rates' but does not list any concrete actions (e.g., scan charts, calculate indicators, backtest strategies). The language is abstract and does not specify what the skill actually does.

1 / 3

Completeness

The 'when' clause ('Use when deciding whether to open a position') is present and explicit, but the 'what' portion is weak—it only vaguely references 'entry signal patterns with historical success rates' without explaining what the skill concretely does.

2 / 3

Trigger Term Quality

Terms like 'entry signal', 'open a position', and 'success rates' are somewhat relevant to trading contexts, but common user variations like 'buy signal', 'trade entry', 'when to buy', 'technical analysis', or 'trading strategy' are missing.

2 / 3

Distinctiveness Conflict Risk

The trading/position-opening context provides some niche, but 'entry signal patterns' is broad enough to overlap with general technical analysis, backtesting, or portfolio management skills.

2 / 3

Total

7

/

12

Passed

Validation

100%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation11 / 11 Passed

Validation for skill structure

No warnings or errors.

Repository
NeverSight/skills_feed
Reviewed

Table of Contents

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