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backtesting-frameworks

Build robust, production-grade backtesting systems that avoid common pitfalls and produce reliable strategy performance estimates.

Quality

59%

Does it follow best practices?

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tessl review fix ./plugins/AI-Agents-Safe-Coding-Skills-claude/skills/backtesting-frameworks/SKILL.md

The canonical home for this skill is backtesting-frameworks in rmyndharis/antigravity-skills

SKILL.md
Quality
Evals
Security

Quality

Content

46%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 well-organized and token-efficient with useful use/don't-use and safety sections, but its substance is a high-level checklist whose only source of detail — the referenced implementation playbook — is missing from the bundle. Fixing the broken reference and adding concrete, executable guidance are the highest-impact improvements.

Suggestions

Ship the referenced `resources/implementation-playbook.md` in the bundle (or remove the reference) — as delivered, both the Instructions and Resources sections point to a file that does not exist.

Make instructions executable: give concrete specifics such as cost-model components (spread, commission, slippage, borrow), walk-forward window parameters (train/test sizes, anchor vs. rolling), and an example backtest structure.

Add validation checkpoints, e.g., 'Verify the data pipeline contains no lookahead (point-in-time only)', 'Sanity-check results against a buy-and-hold benchmark before reporting metrics'.

DimensionReasoningScore

Conciseness

The body is lean and assumes Claude's competence — no explanations of what backtesting is, no library tutorials — and the 'Use/Do not use when' bullets earn their tokens. It falls short of score 5 only because the opening line repeats the frontmatter description verbatim and 'avoid common pitfalls' is padding that could be trimmed.

4 / 5

Actionability

The Instructions are a topic checklist ('Define hypothesis, universe, timeframe...', 'Build point-in-time data pipelines and realistic cost models') with no executable steps, parameters, or examples — matching the score-2 anchor (high-level hints missing the specific steps to execute). It is not score 3 because there is no partially-complete concrete guidance: all detail is deferred to `resources/implementation-playbook.md`, which does not exist in the bundle.

2 / 5

Workflow Clarity

The four instructions form a logical sequence (define → build data → implement simulation → validate with splits/walk-forward), but there are no validation checkpoints or error-recovery steps, matching the score-3 anchor (sequence present, checkpoints missing or implicit). Backtesting is not a destructive or batch operation, so the score-3 cap for missing feedback loops is not the binding constraint; the natural fit is 3, not 4, which requires most checkpoints to be explicit.

3 / 5

Progressive Disclosure

The body defers all detailed patterns and examples to `resources/implementation-playbook.md`, but no such file (or resources/ directory) exists in the bundle — the single one-level reference is clearly signaled yet dangling, so navigation dead-ends. This matches the score-2 anchor (minimal structure, content that belongs in the skill effectively absent) rather than score 3, where references are present and real but weakly signaled.

2 / 5

Total

11

/

20

Passed

Description

53%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.

The description has a clear 'what' in a distinct niche, but lacks any 'Use when' trigger clause and leans on buzzwords ('robust, production-grade', 'common pitfalls') instead of concrete capability verbs. Adding explicit trigger phrases and more specific actions would lift it substantially.

Suggestions

Add an explicit 'Use when...' clause with natural trigger phrases, e.g., 'Use when building or reviewing trading strategy backtests, implementing walk-forward analysis, or validating strategy performance.'

Replace buzzwords with concrete actions, e.g., 'Implement event-driven simulation, point-in-time data pipelines, transaction cost models, and walk-forward testing.'

Include natural synonyms users would say — 'backtest', 'trading strategy', 'quant' — to improve trigger term coverage.

DimensionReasoningScore

Specificity

The description names the domain ('backtesting systems') and a couple of actions ('Build... backtesting systems', 'produce reliable strategy performance estimates'), but 'avoid common pitfalls' is generic and 'robust, production-grade' are buzzwords rather than concrete actions like walk-forward analysis or cost modeling. It fits the score-3 anchor (domain plus 1-2 concrete actions, not comprehensive) and not score 4, which requires several specific actions with only minor gaps.

3 / 5

Completeness

The 'what' is clear (build backtesting systems that produce reliable performance estimates), but there is no 'Use when...' clause or any explicit trigger guidance, capping completeness at 3 per the judging guidelines. It is not score 2 because the 'what' half is concrete, and not score 4 because 'when' is entirely absent rather than just underspecified.

3 / 5

Trigger Term Quality

Relevant keywords like 'backtesting', 'backtesting systems', and 'strategy performance' are present, but common variations users would naturally say — 'backtest', 'trading strategy', 'quant', 'walk-forward' — are missing. This matches the score-3 anchor ('some relevant keywords but missing common variations or synonyms') rather than score 4's fuller coverage.

3 / 5

Distinctiveness Conflict Risk

'Backtesting systems' carves out a fairly distinct niche, but 'strategy performance estimates' and 'common pitfalls' leave minor overlap risk with general trading-strategy, quant-research, or data-analysis skills. It sits between the score-3 anchor (some overlap with similar skills) and score 5 (clear niche with distinct triggers), closer to 4 since the backtesting domain is specific.

4 / 5

Total

13

/

20

Passed

Validation

93%

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

CriteriaDescriptionResult

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

15

/

16

Passed

Repository

administrakt0r/AI-Agents-Safe-Coding-Skills

Path

plugins/AI-Agents-Safe-Coding-Skills-claude/skills/backtesting-frameworks/SKILL.md

Reviewed

Table of Contents

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