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trading-strategy

Use this skill for developing and evaluating trading strategies by synthesizing technical analysis, market sentiment, and risk management principles into actionable trading recommendations.

65

Quality

77%

Does it follow best practices?

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Adds up to 20 points to the overall score

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SecuritybySnyk

Medium

Suggest reviewing before use

Fix and improve this skill with Tessl

tessl review fix ./packages/tentacles/Agent/teams/simple_ai_evaluator_agents_team/resources/skills/summarization/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

65%

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

The body is actionable and well-sequenced with concrete output schemas and decision matrices, but it is verbose with Claude-already-knows content, lacks validation checkpoints in its workflow, and is monolithic for its size rather than progressively disclosed.

Suggestions

Trim concept-explanation prose Claude already knows (e.g., volatility/liquidity definitions, common-mistakes platitudes) to tighten conciseness toward the lean anchor.

Add an explicit validation/self-check step to the workflow, e.g. verify that eval_note sign and magnitude are consistent with recommended_action, confidence, and position_size before emitting the recommendation.

Split the detailed eval_note threshold table and market-regime/position-sizing matrices into a reference file (e.g. references/decision-matrix.md) linked from the overview to improve progressive disclosure.

DimensionReasoningScore

Conciseness

The ~200-line body is well organized but padded with domain concepts Claude already knows ('High volatility = reduce position size', 'revenge trading', trending/ranging/volatile definitions), so it could be tightened significantly rather than earning the lean-and-efficient anchor.

2 / 3

Actionability

Provides concrete, copy-paste-ready guidance: a fully specified JSON output schema, an eval_note scale with explicit thresholds (0.6 to 1.0 strong buy, etc.), and decision matrices for position sizing and entry/exit, which is actionable for an instruction-only skill.

3 / 3

Workflow Clarity

A clear numbered sequence and decision checklists exist, but there are no validation/verification checkpoints for a consequential financial-recommendation workflow, capping clarity at the 'sequence present but checkpoints missing' anchor.

2 / 3

Progressive Disclosure

The skill is a monolithic ~200-line document with no bundle/reference files and content (eval_note scale tables, market-regime guidance) that could be split into separate reference files kept inline, matching the 'content that should be separate is inline' anchor.

2 / 3

Total

9

/

12

Passed

Description

90%

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 clearly states what the skill does and when to use it, with natural trigger terms and a distinct niche. Its only weakness is that the named actions are somewhat abstract rather than concrete discrete operations.

DimensionReasoningScore

Specificity

Names the domain and several actions ('developing and evaluating trading strategies', 'synthesizing technical analysis, market sentiment, and risk management principles', 'actionable trading recommendations') but they are somewhat abstract rather than discrete concrete actions like 'extract text and tables'.

2 / 3

Completeness

Explicitly answers both what (develop/evaluate strategies by synthesizing analyses into recommendations) and when via the canonical 'Use this skill for' trigger clause.

3 / 3

Trigger Term Quality

Uses natural domain terms a user would say ('trading strategies', 'technical analysis', 'market sentiment', 'risk management', 'trading recommendations') with good coverage, matching the 'good coverage of natural terms' anchor.

3 / 3

Distinctiveness Conflict Risk

Targets a clear niche with domain-specific triggers (technical analysis, sentiment, risk management) unlikely to fire for unrelated skills.

3 / 3

Total

11

/

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
Drakkar-Software/OctoBot
Reviewed

Table of Contents

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