parabolic-short-trade-planner

Screen US equities for parabolic exhaustion patterns and generate conditional pre-market short plans, then evaluate intraday trigger fires from live 5-min bars. Phase 1 daily 5-factor scorer (MA extension / acceleration / volume climax / range expansion / liquidity), Phase 2 per-candidate plans for ORL break / first-red 5-min / VWAP fail with explicit borrow / SSR / manual-confirmation gating, Phase 3 one-shot intraday FSM that detects trigger fires and resolves concrete share counts. Covers Phase 1 + Phase 2 + Phase 3.

Quality

77%

Does it follow best practices?

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Securityby

Passed

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tessl review fix ./skills/parabolic-short-trade-planner/SKILL.md

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 lean, highly actionable, and well-structured with a clean one-level-deep reference layer. Its main weakness is workflow_clarity: inline validation/feedback loops for the destructive and batch-oriented operations are implied via referenced tests rather than spelled out in the steps.

Suggestions

Add an explicit inline validate->fix->retry checkpoint within Phase 1 and Phase 3 (e.g., 'Run tests/test_schema_contract.py; if it fails, fix the JSON and re-run before promoting candidates').

State the schema-contract / smoke-test verification step inside the Output Format section rather than only referencing the test files.

Surface a short pre-flight checklist (API keys set, fixtures available) at the top of Phase 3 to close the implicit gating loop.

Dimension	Reasoning	Score
Conciseness	The body is operationally dense — real commands, flag names, and output field names — and assumes Claude's competence rather than explaining basics; only minor redundancy with the description keeps it from padding, so the 'lean and efficient' anchor fits best.	3 / 3
Actionability	Each phase provides fully executable command lines with concrete flags and example values (e.g., '--account-size 100000 --risk-bps 50') plus offline fixture fallbacks, meeting the 'fully executable, copy-paste ready' anchor.	3 / 3
Workflow Clarity	The three phases are numbered and sequenced with explicit gating notes, but validation checkpoints (validate->fix->retry loops) are mostly deferred to referenced tests and fixtures rather than stated inline, leaving implicit gaps for risky operations.	2 / 3
Progressive Disclosure	A concise overview body points to five clearly-signaled, one-level-deep reference files (all verified present on disk) in a Resources section, with detail appropriately split out rather than inlined.	3 / 3
	Total	11 / 12 Passed

Description

67%

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 concrete and distinctive, naming a clear niche and several specific capabilities. It is weakened by jargon-heavy trigger terms and the absence of an explicit 'when to use' clause, capping trigger_term_quality and completeness at 2.

Suggestions

Add an explicit 'Use when...' clause naming natural user phrases (e.g., 'parabolic short setups', 'pre-market short plans', 'intraday short trigger monitoring').

Reduce reliance on technical jargon in the lead sentence; surface plain-language trigger terms a trader would actually say.

Drop the trailing 'Covers Phase 1 + Phase 2 + Phase 3' restatement, which adds length without aiding discoverability.

Dimension	Reasoning	Score
Specificity	Lists multiple concrete actions ('Screen US equities for parabolic exhaustion patterns', 'generate conditional pre-market short plans', 'evaluate intraday trigger fires from live 5-min bars') plus enumerated factors and trigger types, matching the 'lists multiple specific concrete actions' anchor.	3 / 3
Completeness	The 'what' is thorough, but there is no explicit 'Use when...' clause or equivalent trigger guidance, which the guidelines state must cap completeness at 2.	2 / 3
Trigger Term Quality	Some relevant natural terms ('parabolic exhaustion', 'short plans', '5-min bars') appear, but the description leans on technical jargon ('FSM', 'MA extension', 'ORL break', 'VWAP fail') that users would not naturally say, so common variations are missing.	2 / 3
Distinctiveness Conflict Risk	The parabolic-short screening niche is highly specific with distinct triggers, making it unlikely to fire for the wrong skill or conflict with generic screeners.	3 / 3
	Total	10 / 12 Passed

Validation

93%

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 — 15 / 16 Passed

Validation for skill structure

Criteria	Description	Result
referenced_paths_exist	Referenced path issues: 2 deeper-than-1-level	Warning

	Total	15 / 16 Passed

Repository: tradermonty/claude-trading-skills
Path: skills/parabolic-short-trade-planner/SKILL.md
Commit: 62a1635

Reviewed: 5 days ago

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