pead-screener

Screen post-earnings gap-up stocks for PEAD (Post-Earnings Announcement Drift) patterns. Analyzes weekly candle formation to detect red candle pullbacks and breakout signals. Supports two input modes - FMP earnings calendar (Mode A) or earnings-trade-analyzer JSON output (Mode B). Use when user asks about PEAD screening, post-earnings drift, earnings gap follow-through, red candle breakout patterns, or weekly earnings momentum setups.

Quality

91%

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Securityby

Passed

No findings from the security scan

Quality

Content

86%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 with executable commands for both input modes, an explicit degraded-mode feedback path, and clean one-level-deep reference splitting. Minor trims (duplicated intro sentence, vendor-plan call quota) and a missing output-verification step keep it just short of top marks.

Dimension	Reasoning	Score
Conciseness	The body is largely lean and operational, but the opening line duplicates the frontmatter description verbatim and 'Free tier (250 calls/day) is sufficient' embeds time-sensitive vendor-plan detail outside any deprecated/old-patterns section.	4 / 5
Actionability	Both modes provide copy-paste-ready commands with concrete flags (--lookback-days, --watch-weeks, --min-gap, --min-grade), named output files, stage classifications, and numeric thresholds (85+, 70-84) — fully executable guidance.	5 / 5
Workflow Clarity	Four clearly sequenced steps with an explicit error-recovery path (mark output degraded on budget trimming, treat as manual-review only) and visibility checks (timing_unknown_count); the only gap is an explicit verification step that reports were generated successfully.	4 / 5
Progressive Disclosure	The body is an overview that correctly offloads PEAD theory and trade-management rules to two existing, one-level-deep reference files, signaled both in the workflow (Step 2) and again in Resources; the scripts bundle is real and appropriately external.	5 / 5
	Total	18 / 20 Passed

Description

92%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 exemplary: concrete third-person capability statements, an explicit 'Use when' clause with natural trigger phrases, and a well-defined niche. Only minor synonym coverage is missing from the trigger terms.

Dimension	Reasoning	Score
Specificity	Lists multiple specific concrete actions — screening post-earnings gap-ups, analyzing weekly candle formation, detecting red candle pullbacks and breakout signals, plus two distinct input modes — with comprehensive coverage of the skill's capabilities.	5 / 5
Completeness	Explicitly answers both 'what' (screen gap-up stocks via weekly candle analysis in two named input modes) and 'when' with a concrete 'Use when user asks about...' clause listing specific trigger phrases.	5 / 5
Trigger Term Quality	Includes natural phrases users would say ('PEAD screening', 'post-earnings drift', 'earnings gap follow-through', 'red candle breakout patterns', 'weekly earnings momentum setups'), but a few natural variations (e.g. 'earnings gap-up plays', 'post-earnings momentum') are missing.	4 / 5
Distinctiveness Conflict Risk	Occupies a clear PEAD/post-earnings-drift niche with distinct trigger terms; the earnings-trade-analyzer mention is scoped to a defined input mode rather than creating trigger ambiguity.	5 / 5
	Total	19 / 20 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/pead-screener/SKILL.md
Commit: eab8d5c

Reviewed: 8 days ago

Table of Contents

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