earnings-trade-analyzer

Analyze recent post-earnings stocks using a 5-factor scoring system (Gap Size, Pre-Earnings Trend, Volume Trend, MA200 Position, MA50 Position). Scores each stock 0-100 and assigns A/B/C/D grades. Use when user asks about earnings trade analysis, post-earnings momentum screening, earnings gap scoring, or finding best recent earnings reactions.

Quality

100%

Does it follow best practices?

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Securityby

Passed

No findings from the security scan

Quality

Content

100%

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

The content is concise, highly actionable, and well-structured with explicit validation and fallback loops appropriate to a batch routine operation. Progressive disclosure is clean, with a single existing reference kept one level deep.

Dimension	Reasoning	Score
Conciseness	The body is lean with executable commands and no padding of concepts Claude already knows; the extended fallback section is justified detail for a fragile scheduled operation rather than verbosity.	3 / 3
Actionability	Provides copy-paste-ready bash with real flags (--lookback-days, --min-market-cap, --max-api-calls) and a concrete curl fallback endpoint, matching the fully-executable anchor.	3 / 3
Workflow Clarity	A clear 4-step sequence is paired with explicit validation checkpoints and a detect-retry-fallback loop for the degraded-endpoint case, satisfying the batch-operation feedback-loop requirement.	3 / 3
Progressive Disclosure	SKILL.md stays an overview and signals a single one-level-deep reference, references/scoring_methodology.md, which exists in the bundle, with no nested indirection.	3 / 3
	Total	12 / 12 Passed

Description

100%

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 specific, actionable, and well-triggered with explicit use-when guidance and natural search terms, leaving no ambiguity about what it does or when to invoke it. It is appropriately concise with no fluff or over-claims.

Dimension	Reasoning	Score
Specificity	Lists concrete actions — "Analyze recent post-earnings stocks using a 5-factor scoring system", "Scores each stock 0-100 and assigns A/B/C/D grades" — and names all five factors, matching the anchor for multiple specific concrete actions.	3 / 3
Completeness	Explicitly answers what (5-factor scoring, 0-100 scores, A/B/C/D grades) and when via an explicit "Use when..." clause, matching the anchor for clearly answering both what AND when.	3 / 3
Trigger Term Quality	Natural phrases a user would say are covered: "earnings trade analysis", "post-earnings momentum screening", "earnings gap scoring", "finding best recent earnings reactions" — good coverage of common variations.	3 / 3
Distinctiveness Conflict Risk	The post-earnings momentum niche with its specific trigger phrasing is clearly distinguishable and unlikely to fire for unrelated skills.	3 / 3
	Total	12 / 12 Passed

Validation

100%

Warnings & errors only

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

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository: tradermonty/claude-trading-skills
Path: skills/earnings-trade-analyzer/SKILL.md
Commit: 62a1635

Reviewed: 5 days ago

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