analyzing-mempool

Monitor blockchain mempools for pending transactions, gas analysis, and MEV opportunities. Use when analyzing pending transactions, optimizing gas prices, or researching MEV. Trigger with phrases like "check mempool", "scan pending txs", "find MEV", "gas price analysis", or "pending swaps".

Quality

—

Does it follow best practices?

Impact

—

No eval scenarios have been run

Securityby

Advisory

Suggest reviewing before use

Quality

Content

87%

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

A well-organized, actionable skill body with executable commands and clean progressive disclosure. Its main gap is workflow clarity: the inline steps omit explicit validation checkpoints and a validate→fix→retry loop for batch read operations.

Suggestions

Add an explicit validation checkpoint after running a command (e.g., check RPC connectivity / non-empty results before interpreting), with a short fix-and-retry note rather than deferring all error handling to references.

Include one inline minimal error-recovery example (connection timeout → retry with fallback RPC) so the feedback loop is visible in SKILL.md itself.

Tighten the 'Output' and 'Overview' prose into tighter bullets to further improve token efficiency.

Dimension	Reasoning	Score
Conciseness	The body is lean and well-structured — prerequisites, numbered commands, brief interpretive notes — without explaining concepts Claude already knows; minor prose in 'Output'/'Overview' could be trimmed but every section earns its place.	3 / 3
Actionability	Provides copy-paste-ready executable commands against a real bundled script ('python mempool_analyzer.py pending/gas/swaps/mev/summary/watch'), with real flags (--limit, --chain, --format json, -v) and runnable examples.	3 / 3
Workflow Clarity	Steps are clearly sequenced (cd to scripts dir → choose command → interpret results), but the main workflow lacks inline validation/verification checkpoints and offloads error recovery to references, leaving an implicit rather than explicit feedback loop for batch scanning.	2 / 3
Progressive Disclosure	A concise overview with well-signaled, one-level-deep references (errors.md, examples.md, implementation.md — all verified present) and a navigation TOC; content is appropriately split across real bundle files.	3 / 3
	Total	11 / 12 Passed

Description

100%

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, third-person description that clearly states capabilities, usage triggers, and natural trigger phrases with minimal padding. It distinguishes itself well within a specific crypto-monitoring niche.

Dimension	Reasoning	Score
Specificity	Lists multiple concrete actions across the domain — 'Monitor blockchain mempools for pending transactions, gas analysis, and MEV opportunities' — naming monitoring, gas analysis, and MEV detection rather than vague abstractions.	3 / 3
Completeness	Explicitly answers both what it does ('Monitor blockchain mempools...') and when to use it ('Use when analyzing pending transactions, optimizing gas prices, or researching MEV'), plus an explicit trigger-phrase clause.	3 / 3
Trigger Term Quality	Provides a dedicated set of natural trigger phrases ('check mempool', 'scan pending txs', 'find MEV', 'gas price analysis', 'pending swaps') a user would plausibly say, with good coverage of common variations.	3 / 3
Distinctiveness Conflict Risk	Occupies a clear niche (blockchain mempool / gas / MEV monitoring) with domain-specific triggers unlikely to collide with general-purpose skills.	3 / 3
	Total	12 / 12 Passed

Validation

87%

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 — 14 / 16 Passed

Validation for skill structure

Criteria	Description	Result
allowed_tools_field	'allowed-tools' contains unusual tool name(s)	Warning
frontmatter_unknown_keys	Unknown frontmatter key(s) found; consider removing or moving to metadata	Warning

	Total	14 / 16 Passed

Repository: jeremylongshore/claude-code-plugins-plus-skills
Commit: 607d11b

Reviewed: 1 day ago

Table of Contents

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