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hyperliquid

Hyperliquid market data, account history, trade review.

60

Quality

71%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

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tessl review fix ./optional-skills/blockchain/hyperliquid/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

85%

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

The body is highly actionable and well-organized, with concrete commands, a clear multi-step procedure, and a clean single-script reference structure; the only weakness is repetitive verbosity from the duplicated full script path.

DimensionReasoningScore

Conciseness

The body is command-dense and avoids concept explanations, but the full script path is repeated verbatim over a dozen times and the Quick Reference and Procedure sections overlap on command listings, so it could be tightened.

2 / 3

Actionability

Every command is fully executable with real arguments (e.g. 'candles BTC --interval 1h --hours 72 --limit 48'), and the Quick Reference lists all 12 subcommands with their flags, making it copy-paste ready.

3 / 3

Workflow Clarity

The Procedure lays out a clear numbered 7-step sequence, includes a Verification section as a checkpoint, and the read-only nature means the destructive-operation cap does not apply.

3 / 3

Progressive Disclosure

The SKILL.md is a well-sectioned overview pointing to a single one-level-deep helper script (scripts/hyperliquid_client.py), with no nested references and clear navigation per section headers.

3 / 3

Total

11

/

12

Passed

Description

57%

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 identifies a distinctive niche and lists relevant capability areas, but stops short of concrete actions and omits any explicit 'when to use' trigger guidance.

Suggestions

Rewrite as concrete verbs, e.g. 'Query Hyperliquid candles, funding, and L2 order books; inspect perp positions, spot balances, fills, and orders; run post-trade reviews and export datasets.'

Append an explicit trigger clause: 'Use when the user asks for Hyperliquid market data, wallet positions, fills, or a post-trade review.'

Add the natural terms users say (candles, funding, L2, positions, fills) to broaden trigger coverage.

DimensionReasoningScore

Specificity

Names the domain ('Hyperliquid') and three capability buckets ('market data, account history, trade review'), but these are noun categories rather than concrete actions like 'query candles, pull fills, export datasets' that would warrant a 3.

2 / 3

Completeness

It states what the skill does but provides no 'Use when...' clause or equivalent explicit trigger guidance, which per the rubric guidelines caps completeness at 2.

2 / 3

Trigger Term Quality

'Hyperliquid market data', 'account history', and 'trade review' are reasonably natural for the domain, but common variations users would actually say (candles, funding, positions, fills, order book) are absent.

2 / 3

Distinctiveness Conflict Risk

'Hyperliquid' is a specific named platform, giving the skill a clear niche with distinct triggers that are unlikely to conflict with other skills.

3 / 3

Total

9

/

12

Passed

Validation

81%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation13 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

metadata_version

'metadata.version' is missing

Warning

metadata_field

'metadata' should map string keys to string values

Warning

frontmatter_unknown_keys

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

Warning

Total

13

/

16

Passed

Repository
NousResearch/hermes-agent
Reviewed

Table of Contents

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