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scanner-bullish

Scan stocks for bullish trends using technical indicators (SMA, RSI, MACD, ADX). Use when user asks to scan for bullish stocks, find trending stocks, or rank symbols by momentum.

Quality

88%

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SecuritybySnyk

Passed

No findings from the security scan

SKILL.md
Quality
Evals
Security

Quality

Content

88%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.

The body is a well-structured, executable single-purpose skill: a real script, precise CLI documentation, a complete scoring rubric and output schema, and quantified interpretation guidance. Only minor trims (duplicated crossover interpretation prose) and optional file-splitting of reference-grade sections keep it from top marks.

DimensionReasoningScore

Conciseness

The body is mostly lean — the scoring table, output schema, and examples carry novel information with no filler, and there is no explanation of what SMA/RSI/MACD are. Minor trimmable instances remain: the separate "EMA Crossover Interpretation" and "MACD Crossover Interpretation" sections repeat the output-field semantics already given above, and a stray double blank line precedes "## Timezone". This fits the 4 anchor (efficient with minor over-explanation) rather than the 5 anchor (every token earns its place).

4 / 5

Actionability

Quotes: "uv run python scripts/scan.py SYMBOLS [--top N] [--period PERIOD]" is a copy-paste-ready command backed by a real bundle file (scripts/scan.py exists), arguments and defaults are documented ("--top ... default: 30", "--period ... default: 3mo"), and three concrete examples cover the common cases (basic scan, --top, --period). This matches the 5 anchor: fully executable with examples covering common cases.

5 / 5

Workflow Clarity

This is a simple single-task skill: run one scan command, then apply the explicitly quantified interpretation thresholds ("Score > 6: Strong bullish trend", "Score 4-6: Moderate bullish", etc.). The single action is unambiguous and output fields are fully documented, so per the simple-skill exception it earns a 5. The destructive/batch cap does not apply: the scan is a read-only analysis with no mutating operations to validate.

5 / 5

Progressive Disclosure

Structure is good: well-organized sections (Instructions, Arguments, Scoring System, Output, Examples, Interpretation), and the body's only referenced path, scripts/scan.py, is a real file in the bundle, one level deep. It is not a 5 because at ~100 lines the detailed output schema and two crossover-interpretation sections are reference-grade material that could be split into a separate file, matching the 4 anchor (good structure, minor organization gaps).

4 / 5

Total

18

/

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.

The description is a strong example: it states what the skill does with concrete indicators, and provides an explicit 'Use when...' clause with natural trigger phrases. Minor gaps in trigger synonym coverage and action enumeration keep specificity and trigger quality at 4.

DimensionReasoningScore

Specificity

Quotes: "Scan stocks for bullish trends using technical indicators (SMA, RSI, MACD, ADX)" and "rank symbols by momentum" name the domain, several concrete actions, and specific indicators. It falls just short of the 5 anchor because the action list is short (scan/rank) rather than comprehensively enumerating capabilities, and clearly above the 3 anchor which expects only 1-2 concrete actions without this level of specificity.

4 / 5

Completeness

Quotes: "Scan stocks for bullish trends using technical indicators (SMA, RSI, MACD, ADX)" explicitly states what, and "Use when user asks to scan for bullish stocks, find trending stocks, or rank symbols by momentum" explicitly states when with concrete trigger phrases. This directly matches the 5 anchor's what+when structure; the 4 anchor requires a less explicit 'when', which does not apply here.

5 / 5

Trigger Term Quality

Quotes: "scan for bullish stocks, find trending stocks, or rank symbols by momentum" are natural phrases a user would say, with good coverage across scan/find/rank verbs. Not a 5 because common variations like "momentum stocks", "buy signals", or "stock screener" are missing; clearly above the 3 anchor whose keywords are narrower.

4 / 5

Distinctiveness Conflict Risk

Quotes: "bullish trends", "technical indicators (SMA, RSI, MACD, ADX)", "rank symbols by momentum" establish a clear niche with distinct triggers. Minor overlap risk remains with sibling trading skills (e.g., bearish or general momentum screeners), matching the 4 anchor rather than the 5 anchor's minimal-conflict standard.

4 / 5

Total

17

/

20

Passed

Validation

93%

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

Validation — 15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

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

Warning

Total

15

/

16

Passed

Repository

staskh/trading_skills

Path

.claude/skills/scanner-bullish/SKILL.md

Reviewed

Table of Contents

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