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shadow-account

Shadow Account — 从用户交割单提炼盈利模式(3-5 条人话规则)→ 跨 A股/港股/美股/crypto 多市场回测 → 差值归因 → 8-section PDF 报告。叙事:你的影子,没有情绪噪音。

60

Quality

71%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

Fix and improve this skill with Tessl

tessl review fix ./agent/src/skills/shadow-account/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

81%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 a well-structured, actionable workflow with strong validation checkpoints and lean prose. Minor trimming of editorial annotations and pulling the prompt template into a reference file would push it to a 5.

DimensionReasoningScore

Conciseness

The body is lean — tool signatures, field definitions, and bullet lists — and assumes Claude knows Sharpe/PnL/equity curve without explaining them; minor editorial bits like '(PDF Section 5 — gut punch)' could be trimmed, so just below a 5.

4 / 5

Actionability

Provides concrete tool calls with parameters and return values (extract_shadow_strategy(journal_path=...), run_shadow_backtest(...)) plus a copy-paste rule-translation prompt template; the internal extractor._translate_rule fallback is referenced but not shown, a minor gap.

4 / 5

Workflow Clarity

A clear four-step sequence with explicit validation/feedback loops — confirm rules then re-run with higher min_support, raise on profitable roundtrips < 5, and weasyprint → HTML-only fallback — plus a 红线 constraints checklist.

5 / 5

Progressive Disclosure

Well-organized into clear sections (何时触发, 工作流, 产出解读, 对话模板, 规则翻译 Prompt 模板, 红线) and self-contained with no external references; at ~70 lines it slightly exceeds the under-50 simple-skill threshold, so just below a 5.

4 / 5

Total

17

/

20

Passed

Description

62%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 conveys a concrete, distinctive pipeline but omits any explicit trigger/usage guidance, relying on the body for when-to-load cues. Adding a 'Use when…' clause with natural user phrases would lift completeness and trigger quality.

Suggestions

Add an explicit 'Use when…' clause with natural trigger phrases (e.g. 'Use when the user says 回测我的策略 / 提炼我的盈利模式 / 我能多赚多少') so Claude knows when to load this skill.

Surface the trigger phrases currently buried in the body's '何时触发' section into the frontmatter description for discoverability.

Trim the marketing tagline '叙事:你的影子,没有情绪噪音' — it adds fluff without aiding specificity or triggering.

DimensionReasoningScore

Specificity

Lists several concrete pipeline actions ('提炼盈利模式(3-5 条人话规则)→ 跨 A股/港股/美股/crypto 多市场回测 → 差值归因 → 8-section PDF 报告'), but the trailing tagline '叙事:你的影子,没有情绪噪音' is marketing fluff, keeping it just below a 5.

4 / 5

Completeness

Clearly states what the skill does (extract → backtest → attribute → report) but gives no 'when' guidance; per the judging guidelines a missing 'Use when…' clause caps completeness at 3.

3 / 5

Trigger Term Quality

Contains relevant domain keywords (回测, 盈利模式, 交割单, 影子) a trader might say, but lacks common synonyms, file extensions, and the explicit 'Use when…' trigger phrasing that lives only in the body.

3 / 5

Distinctiveness Conflict Risk

The shadow-account-from-trade-journal niche with multi-market backtest and delta attribution is highly specific with distinct triggers and minimal overlap with other skills.

5 / 5

Total

15

/

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.

Validation15 / 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
HKUDS/Vibe-Trading
Reviewed

Table of Contents

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