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stockbee-exhaustion-hammer-screener

Screen US stocks for Stockbee-style selling-exhaustion hammer setups using prior momentum, pullback depth, undercut/reclaim, long lower-wick geometry, close-location, volume confirmation, quality/liquidity gates, and risk-distance scoring. Use when the user asks for Stockbee, Pradeep Bonde, exhaustion setup, selling exhaustion, hammer reversal, undercut reclaim, near-close reversal candidates, or pullback entries in high-quality funds-owned stocks.

Quality

92%

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SecuritybySnyk

Passed

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SKILL.md
Quality
Evals
Security

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-built skill body: fully executable commands for every input mode, a clearly sequenced four-step workflow with review and manual-validation checkpoints, and exemplary progressive disclosure into three real, one-level-deep references. The residual slack is confined to the 'Shared FMP client' section, which reads like implementation release notes rather than operator instructions, and the absence of an explicit error-recovery path for failed or empty runs.

Suggestions

Trim the 'Shared FMP client' section to the operator-relevant facts (when the client loads, key precedence, rate-limit behavior in one line) and move endpoint-fallback and retry-implementation detail into a reference file or the script's own docstring.

Add a short failure-handling note to Step 2 (e.g., what to do when the FMP run exhausts --max-api-calls, returns zero candidates, or a request is rate-limited twice) so the workflow has an explicit recovery path rather than only happy-path checkpoints.

DimensionReasoningScore

Conciseness

The body is efficient and assumes domain competence — setup-family definitions, CLI modes, and output contracts are stated without padding, and nothing explains concepts Claude already knows. It is not a 5 because the closing "Shared FMP client" section carries implementation/changelog-style detail ("masks raw and URL-encoded key echoes, retries malformed JSON once, and retries a 429 at most once, after a 60-second wait") that is operational trivia better trimmed or moved into a reference, so not every token earns its place.

4 / 5

Actionability

Four complete, copy-paste-ready CLI invocations cover all three input modes (FMP universe, explicit symbols, offline JSON) plus the quote-override variant, with concrete flags, output filenames, and a per-rating downstream routing table. It is not below 5: the commands are executable as written and the common cases are each represented by a specific example.

5 / 5

Workflow Clarity

Steps 1–4 are clearly sequenced, and the batch screening operation does include checkpoints — Step 3 requires reading the reports and surfacing "reject reasons" per candidate, and Step 4 gates A/A- candidates on manual chart, earnings, and news validation — so the batch-operation cap at 3 does not apply. It is not a 5 because validation is review-oriented rather than an explicit validate/fix/retry loop: there is no guidance for error recovery when a run fails, returns zero candidates, or hits the API-call budget.

4 / 5

Progressive Disclosure

The body is a genuine overview — workflow, modes, output contract — with all detail correctly split into three real, substantive, one-level-deep reference files clearly signaled in the Resources section (methodology, scoring system, near-close operations), and both referenced scripts exist in the bundle. Verified against the actual bundle structure, no reference chains nest further and no clearly-separate content is inlined, matching the top anchor.

5 / 5

Total

18

/

20

Passed

Description

95%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: concrete and comprehensive about what the screener does, with an explicit and thorough 'Use when' trigger list that includes author-name and pattern-synonym variants. The only weakness is that the capability is conveyed through one screening action plus a dense criteria list rather than plainly-worded multiple actions, which slightly limits readability for users unfamiliar with the jargon.

DimensionReasoningScore

Specificity

The description enumerates concrete, domain-specific method components — "prior momentum, pullback depth, undercut/reclaim, long lower-wick geometry, close-location, volume confirmation, quality/liquidity gates, and risk-distance scoring" — leaving no vague filler. It sits between anchors 4 and 5: coverage of the screening method is comprehensive, but the capability is expressed through one primary action verb ("Screen US stocks") with a criteria list rather than multiple distinct user-facing actions, and terms like "close-location" lack plain-language glossing, a minor gap.

4 / 5

Completeness

It explicitly answers both questions: the "what" is stated concretely ("Screen US stocks for Stockbee-style selling-exhaustion hammer setups using...") and the "when" is explicit with concrete trigger phrases ("Use when the user asks for..."). This directly parallels the rubric's 5-anchor example structure and clearly exceeds the 4 anchor, where the 'when' is present but less specific.

5 / 5

Trigger Term Quality

The "Use when" clause covers natural phrasings users would actually say, including author-name synonyms: "Stockbee, Pradeep Bonde, exhaustion setup, selling exhaustion, hammer reversal, undercut reclaim, near-close reversal candidates, or pullback entries in high-quality funds-owned stocks." This matches the top anchor's comprehensive synonym coverage; no common variant of the request is obviously missing.

5 / 5

Distinctiveness Conflict Risk

It occupies a clear niche (Stockbee/Bonde-style selling-exhaustion hammer screening) with distinctly branded triggers ("Stockbee", "Pradeep Bonde", "undercut reclaim") that are unlikely to fire for unrelated technical-screening or general-analysis skills. It is not below the 5 anchor because the trigger set is specific enough that overlap risk with generic stock-screener skills is minimal.

5 / 5

Total

19

/

20

Passed

Validation

100%

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-exhaustion-hammer-screener/SKILL.md

Reviewed

Table of Contents

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