adr-hshare

ADR/H-share/A-share cross-listing premium analysis — track pricing gaps between US-listed ADRs, HK-listed H-shares, and A-shares for arbitrage signals, dual-listing valuation, and delisting risk assessment.

Quality

73%

Does it follow best practices?

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Securityby

Passed

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tessl review fix ./agent/src/skills/adr-hshare/SKILL.md

Quality

Content

65%

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

A highly actionable reference with strong executable examples, held back by verbosity and a monolithic structure that would benefit from external reference files. The analytical workflow is present but implicit rather than a validated step sequence.

Suggestions

Split the large reference tables (ADR conversion ratios, AH premium interpretation, HFCAA risk matrix) into a separate REFERENCES.md and link to them from SKILL.md to improve progressive disclosure and conciseness.

Add an explicit step-by-step analysis workflow with validation checkpoints (e.g., verify ADR ratio and FX conversion before computing premium; cross-check delisting status) rather than relying on the output template to imply the sequence.

Tighten explanatory prose around structural drivers and strategy rationale to reduce token load while keeping the executable code and worked examples.

Dimension	Reasoning	Score
Conciseness	The body is information-dense with useful formulas and code, but at ~220 lines it carries substantial explanatory prose and large tables that could be tightened; it is mostly efficient rather than lean.	2 / 3
Actionability	Provides fully executable Python (calculate_ah_premium, calculate_adr_premium, z-score strategy, yfinance downloads) with worked numeric examples and a concrete output template, matching the copy-paste-ready anchor.	3 / 3
Workflow Clarity	The Output Format template implies a sequenced analytical flow (listing → premium → valuation → delisting → signal → implication) but presents it as a reference rather than explicit step-by-step instructions with validation checkpoints.	2 / 3
Progressive Disclosure	Sections are well-organized, but the skill is a monolithic ~220-line single file with no bundle references; large reference material (ADR ratio table, delisting framework) is inline rather than split into one-level-deep files.	2 / 3
	Total	9 / 12 Passed

Description

82%

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 specific, well-targeted description with strong trigger terms and a clear niche, weakened only by the absence of an explicit "Use when..." trigger clause. Adding a when-to-use clause would lift completeness to a top score.

Suggestions

Append an explicit "Use when..." clause (e.g., "Use when analyzing Chinese company cross-listings, ADR/H-share/A-share pricing gaps, or US delisting risk") to answer the "when should Claude use it" half of completeness.

Surface a couple of natural user phrasings in the trigger clause (e.g., "AH premium", "ADR arbitrage") to further reinforce trigger-term coverage.

Dimension	Reasoning	Score
Specificity	Lists multiple concrete actions — "track pricing gaps between US-listed ADRs, HK-listed H-shares, and A-shares for arbitrage signals, dual-listing valuation, and delisting risk assessment" — matching the anchor for naming several specific actions.	3 / 3
Completeness	It clearly answers "what" (track pricing gaps for arbitrage/valuation/delisting risk) but provides no "Use when..." clause or equivalent explicit trigger, so per the judging guideline completeness is capped at 2.	2 / 3
Trigger Term Quality	Covers natural domain terms a user would actually say — "ADR", "H-share", "A-share", "cross-listing premium", "arbitrage signals", "delisting risk" — giving good coverage rather than jargon or generic phrasing.	3 / 3
Distinctiveness Conflict Risk	The cross-listing premium niche (ADRs vs H-shares vs A-shares) is highly specific with distinct triggers, making it unlikely to fire for the wrong skill.	3 / 3
	Total	11 / 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
frontmatter_unknown_keys	Unknown frontmatter key(s) found; consider removing or moving to metadata	Warning

	Total	15 / 16 Passed

Repository: HKUDS/Vibe-Trading
Path: agent/src/skills/adr-hshare/SKILL.md
Commit: 8643fcd

Reviewed: 2 days ago

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