stockbee-momentum-burst-screener

Screen US stocks for Stockbee-style short-term Momentum Burst setups using 4% breakout, dollar breakout, range expansion, volume expansion, prior range contraction, close-location, failure filters, and risk-distance scoring. Use when the user asks for Stockbee, Pradeep Bonde, momentum burst, 4% breakout, range expansion, dollar breakout, short-term swing momentum candidates, or 3-5 day burst setup review.

Quality

94%

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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: executable commands for all three input modes, a clear four-step workflow, and exemplary progressive disclosure into three real reference files. The only weaknesses are mild duplication of scoring detail already held in references and the absence of explicit failure-handling guidance in the workflow.

Suggestions

Trim Step 2's inline trigger formulas and scoring-criteria list, replacing them with one-line pointers to references/scoring_system.md, since that file already documents the thresholds and component weights.

Add a short failure-handling note to the Workflow (e.g., what to do when FMP_API_KEY is missing, the API call fails, or the screening pass returns zero candidates), creating an explicit feedback loop for the batch screening operation.

Dimension	Reasoning	Score
Conciseness	The body is lean — commands, criteria lists, and routing rules with no explanation of concepts Claude already knows — but Step 2's trigger formulas ("close / previous_close >= 1.04") and scoring-criteria list partially duplicate content that lives in references/scoring_system.md and references/momentum_burst_methodology.md. That places it just below the 'every token earns its place' top anchor; it is noticeably above the mostly-efficient midpoint.	4 / 5
Actionability	Three complete, copy-paste-ready invocations cover the common input modes (FMP universe scan, explicit symbols, offline OHLCV JSON), plus a concrete env-var export and named output artifacts. Fully executable with specific examples covering the main cases.	5 / 5
Workflow Clarity	The four steps (choose input mode → run screening → review output → route survivors) are clearly sequenced with commands, and Step 3's structured review plus the A/B/watch/reject routing act as verification checkpoints. However, there is no error-recovery guidance (e.g., what to do on API failure, missing key, or empty candidate sets), so it falls short of the explicit feedback-loop anchor.	4 / 5
Progressive Disclosure	The body is a concise overview; methodology, scoring weights, and entry/exit detail each live in a separate, verified, one-level-deep reference file, clearly signaled in the Resources section with per-file descriptions ("references/scoring_system.md - Component weights, state thresholds, and failure filters"). No nested references and no inlined bulk detail.	5 / 5
	Total	18 / 20 Passed

Description

100%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: a concrete third-person statement of capability followed by an explicit, synonym-rich 'Use when' trigger clause. It covers what the skill does and when to invoke it without fluff or over-claiming.

Dimension	Reasoning	Score
Specificity	The description enumerates multiple concrete screening actions and criteria — "4% breakout, dollar breakout, range expansion, volume expansion, prior range contraction, close-location, failure filters, and risk-distance scoring" — giving comprehensive coverage of what the skill does. It uses third-person voice ("Screen US stocks"), matching the top anchor rather than the score-4 anchor, which expects minor coverage gaps.	5 / 5
Completeness	It explicitly answers both questions: what ("Screen US stocks for Stockbee-style short-term Momentum Burst setups using...") and when ("Use when the user asks for...") with concrete trigger phrases. This mirrors the anchor-5 example structure almost exactly.	5 / 5
Trigger Term Quality	Trigger terms are comprehensive and natural: "Stockbee, Pradeep Bonde, momentum burst, 4% breakout, range expansion, dollar breakout, short-term swing momentum candidates, or 3-5 day burst setup review" — including the creator-name synonym a user would actually say. No common variation is obviously missing, matching the synonym-inclusive top anchor.	5 / 5
Distinctiveness Conflict Risk	The Stockbee/Pradeep Bonde niche with named, specific triggers ("4% breakout", "momentum burst", "3-5 day burst setup") makes it clearly distinguishable from generic screener or technical-analysis skills, with minimal conflict risk.	5 / 5
	Total	20 / 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/stockbee-momentum-burst-screener/SKILL.md
Commit: eab8d5c

Reviewed: 8 days ago

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