CtrlK
BlogDocsLog inGet started
Tessl Logo

backtesting-frameworks

Build robust backtesting systems for trading strategies with proper handling of look-ahead bias, survivorship bias, and transaction costs. Use when developing trading algorithms, validating strategies, or building backtesting infrastructure.

64

Quality

76%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

View guide

SecuritybySnyk

Passed

No findings from the security scan

Fix and improve this skill with Tessl

tessl review fix ./skills/backtesting-frameworks/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

65%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.

The body is admirably concise and well-structured, but its guidance stays at a planning level without executable detail, lacks validation checkpoints, and leans on a referenced playbook file that is missing from the bundle.

Suggestions

Add at least one concrete, executable example (e.g. a minimal event-driven backtest loop or a point-in-time data check) so the skill is actionable without the missing playbook.

Include explicit validation/verification checkpoints in the Instructions workflow (e.g. 'confirm no look-ahead leakage before reporting results') to lift workflow clarity above 3.

Either create resources/implementation-playbook.md or remove the broken references to it, so progressive disclosure points to real files.

DimensionReasoningScore

Conciseness

The body is lean and efficient: short bullet lists with no padding, no explanation of concepts Claude already knows, and every line earns its place.

5 / 5

Actionability

Names concrete technical patterns ('point-in-time data pipelines', 'event-driven simulation', 'walk-forward testing', 'train/validation/test splits') but gives no executable code, commands, or specific implementation details, deferring all examples to an external file.

3 / 5

Workflow Clarity

A rough sequence is present (define hypothesis → build data pipelines → implement simulation → split/walk-forward), but there are no validation or verification checkpoints, so it sits at the anchor with sequence-but-missing-checkpoints rather than above.

3 / 5

Progressive Disclosure

Structure is well organized into clear sections and signals a one-level-deep reference ('resources/implementation-playbook.md'), but that referenced file does not exist in the bundle, so the navigation promise is unfulfilled.

3 / 5

Total

14

/

20

Passed

Description

87%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 that clearly states what the skill does and when to use it, with concrete, domain-specific trigger terms and low conflict risk. It is slightly shy of maximum specificity and trigger-term breadth.

DimensionReasoningScore

Specificity

Names the domain ('Build robust backtesting systems for trading strategies') plus several concrete concerns ('proper handling of look-ahead bias, survivorship bias, and transaction costs'), listing multiple specific actions with minor coverage gaps rather than the comprehensive set of a 5.

4 / 5

Completeness

Explicitly answers both 'what' (build robust backtesting systems handling named biases and costs) and 'when' ('Use when developing trading algorithms, validating strategies, or building backtesting infrastructure') with concrete trigger phrases.

5 / 5

Trigger Term Quality

Includes natural trigger phrases users would say ('developing trading algorithms', 'validating strategies', 'backtesting infrastructure') with good coverage, but misses some common synonyms or variations that would warrant a 5.

4 / 5

Distinctiveness Conflict Risk

'Backtesting frameworks' is a clear niche with distinct, specialized triggers (backtesting, trading strategy validation) and minimal overlap risk with other skills.

5 / 5

Total

18

/

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.

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
rmyndharis/antigravity-skills
Reviewed

Table of Contents

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.