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stockbee-20pct-study

Build and maintain a Stockbee-style daily 20% mover study for US equities by scanning +20%/-20% movers, classifying catalysts and setup context, updating forward outcomes, and summarizing cohort patterns. Use when the user asks to run a daily 20% study, backfill historical 20% movers, find recurring edge patterns, or build a model book of explosive market moves.

76

Quality

93%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

87%

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

The body is an executable, well-structured research workflow with copy-paste commands and clean progressive disclosure to verified reference files. Its main weakness is the absence of explicit validation/verification checkpoints in batch operations such as scanning and backfilling.

Suggestions

Add an explicit validation checkpoint after each batch step (e.g., after scan verify the event count and state-file append succeeded, and after backfill confirm no duplicate event IDs were inserted) to lift workflow_clarity above 2.

Include a brief validate-fix-retry feedback loop for enrichment, noting what to do when a news or market-regime JSON is missing or malformed (e.g., fall back to the NO_CLEAR_NEWS price-only record and log the gap).

Add a short output-verification checklist in the Output Format section so Claude can confirm each run produced the expected report and state-file updates before declaring success.

DimensionReasoningScore

Conciseness

The body is lean and code/command-heavy with no padding of concepts Claude already knows (e.g., no explanation of what a 20% mover is); the intro and boundary statements earn their place. It is not at level 2 because, despite minor overlap between the "When to Use" bullets and the frontmatter description, there is no unnecessary explanatory filler that would warrant tightening.

3 / 3

Actionability

Six fully-specified bash command blocks with concrete flags, file paths, and parameter values (e.g. --min-abs-return-pct 20, --horizons 1,3,5,10,20) are copy-paste ready. It is not at level 2 because the examples are executable rather than pseudocode and include the key details rather than being incomplete.

3 / 3

Workflow Clarity

The five steps (scan, enrich, update-outcomes, summarize, backfill) are clearly sequenced, but there are no explicit validation checkpoints or validate-fix-retry feedback loops. It is not at level 3 because batch operations like scan and backfill lack explicit verification steps; per the rubric guideline, missing validation in batch operations caps this dimension at 2.

2 / 3

Progressive Disclosure

A clear ## Resources section points to one-level-deep references (methodology.md, event_schema.md, catalyst_taxonomy.md, scoring_system.md, cohort_mining_rules.md) and the CLI script, all of which exist as real files, with content appropriately split out of the overview. It is not at level 2 because references are clearly signaled and shallow rather than nested or poorly organized.

3 / 3

Total

11

/

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 strong: it concisely states concrete capabilities, includes natural user-facing trigger terms, explicitly answers both what and when, and occupies a distinct niche. No material weaknesses were identified.

DimensionReasoningScore

Specificity

The description lists multiple concrete actions — "scanning +20%/-20% movers, classifying catalysts and setup context, updating forward outcomes, and summarizing cohort patterns" — matching the anchor for listing several specific concrete actions. It is not at level 2 because it goes beyond naming a domain plus partial actions to enumerate a comprehensive action set.

3 / 3

Completeness

It explicitly answers both what (build and maintain a 20% mover study via the enumerated actions) and when with an explicit "Use when the user asks to run a daily 20% study, backfill historical 20% movers, find recurring edge patterns, or build a model book of explosive market moves" clause. It is not at level 2 because the when is explicit rather than missing or merely implied.

3 / 3

Trigger Term Quality

Natural trigger phrases a user would actually say are present: "daily 20% study", "backfill historical 20% movers", "find recurring edge patterns", and "build a model book of explosive market moves". It is not at level 2 because it covers multiple common variations a Stockbee-style researcher would phrase rather than only a single relevant keyword.

3 / 3

Distinctiveness Conflict Risk

The Stockbee-style daily 20% mover study for US equities is a clear niche with distinct triggers unlikely to conflict with other skills. It is not at level 2 because the domain and triggers are specific enough that overlap with similar general-purpose skills is minimal.

3 / 3

Total

12

/

12

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.

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
tradermonty/claude-trading-skills
Reviewed

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