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generating-trading-signals

Generate trading signals using technical indicators (RSI, MACD, Bollinger Bands, etc.). Combines multiple indicators into composite signals with confidence scores. Use when analyzing assets for trading opportunities or checking technical indicators. Trigger with phrases like "get trading signals", "check indicators", "analyze for entry", "scan for opportunities", "generate buy/sell signals", or "technical analysis".

Quality

85%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

SKILL.md
Quality
Evals
Security

Quality

Content

82%Weight 40%Scale 1-5

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

A well-structured, highly actionable skill body: executable commands throughout that match the actual scanner CLI, a compact error table, and appropriately deferred detail in real reference files. The main improvements are de-duplicating the Examples section against Instructions and linking the orphaned references/examples.md bundle file.

DimensionReasoningScore

Conciseness

The body is lean — no explanation of what RSI/MACD/Bollinger Bands are, compact error table, and every section carries commands. The main trimmable padding is the Examples section, which re-runs three commands already shown verbatim in Instructions, and the Resources section's mild restatement of dependencies — matching anchor 4's 'minor instances that could be trimmed'.

4 / 5

Actionability

Every command is copy-paste executable and verified against scanner.py's actual CLI (--watchlist, --symbols, --detail, --filter, --min-confidence, --rank, --output, --list-watchlists all exist), prerequisites include install commands, and the examples cover the common cases (multi-asset scan, single-symbol deep dive, filter/rank, JSON export). This matches the fully-executable anchor 5.

5 / 5

Workflow Clarity

A clear sequence is present — install dependencies, quick scan, detailed analysis, filter/rank, export — and the Error Handling table maps each failure to cause and fix, providing recovery guidance. It is not a destructive or batch-mutating skill (read-only analysis plus optional JSON output), so the cap of 3 does not apply, but no explicit validation checkpoint (e.g., confirm data fetched before acting on signals) keeps it at anchor 4 rather than 5.

4 / 5

Progressive Disclosure

Good structure: the body stays an overview and points to real one-level-deep files — references/implementation.md (output formats, backtester integration) and references/errors.md (comprehensive error handling), both of which exist. The gap keeping it from anchor 5: references/examples.md exists in the bundle but is never linked from the body, and implementation.md is cited twice (Output and Resources sections), which are minor organization/navigation gaps.

4 / 5

Total

17

/

20

Passed

Description

83%Weight 40%Scale 1-5

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

A strong description that clearly states capabilities, lists the indicator set, and provides an explicit 'Use when' clause with six concrete trigger phrases in third person. The only weaknesses are a few missing natural trigger variations and slightly broad phrases like 'technical analysis' that create minor overlap risk with related trading skills.

DimensionReasoningScore

Specificity

Concrete actions are named — 'Generate trading signals using technical indicators (RSI, MACD, Bollinger Bands, etc.)' and 'Combines multiple indicators into composite signals with confidence scores' — with seven indicators enumerated. Minor gap: no mention of risk-management levels or watchlists that the skill actually provides, so it falls just short of the comprehensive anchor 5.

4 / 5

Completeness

Explicitly answers 'what' (generate trading signals from multiple technical indicators, combined into composite signals with confidence scores) and 'when' ('Use when analyzing assets for trading opportunities or checking technical indicators') plus concrete trigger phrases, exactly matching the anchor-5 example structure.

5 / 5

Trigger Term Quality

Six natural trigger phrases are listed ('get trading signals', 'check indicators', 'analyze for entry', 'scan for opportunities', 'generate buy/sell signals', 'technical analysis') covering synonyms well. A few natural variations are missing (e.g., 'check the RSI', 'is BTC a buy', 'market scan'), matching anchor 4 rather than the comprehensive anchor 5.

4 / 5

Distinctiveness Conflict Risk

Clear niche (multi-indicator trading signal generation) with distinctive triggers like 'generate buy/sell signals'. However, broad phrases such as 'technical analysis' and 'scan for opportunities' could overlap with general market-analysis or backtesting skills, matching anchor 4 rather than minimal-conflict anchor 5.

4 / 5

Total

17

/

20

Passed

Validation

87%

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

Validation — 14 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

allowed_tools_field

'allowed-tools' contains unusual tool name(s)

Warning

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

14

/

16

Passed

Repository

jeremylongshore/tons-of-skills-marketplace

Path

plugins/crypto/crypto-signal-generator/skills/generating-trading-signals/SKILL.md

Reviewed

Table of Contents

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