optimizing-gas-fees

Optimize blockchain gas costs by analyzing prices, patterns, and timing. Use when checking gas prices, estimating costs, or finding optimal windows. Trigger with phrases like "gas prices", "optimize gas", "transaction cost", "when to transact".

Quality

93%

Does it follow best practices?

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Securityby

Low

Low-risk findings worth noting

Quality

Content

87%Weight 40%Scale 1-3

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

The body is concise and highly actionable with executable commands and efficient tables, and it discloses detail cleanly via one-level references. Its main gap is workflow clarity: it presents parallel commands rather than a sequenced, validated workflow, and the bundle contains an unreferenced, stale implementation.md.

Suggestions

Add a brief validation/error-recovery step in the body for when a command fails or returns default values (e.g., "If `current` reports `source: default`, check RPC connectivity per references/errors.md"), giving the read-only workflow an explicit feedback loop.

Surface a short sequenced workflow (e.g., the "Before a Large Transaction" check-optimal-predict-estimate flow currently only in examples.md) directly in the body so the multi-step process is visible without following a reference.

Remove or rewrite references/implementation.md: it is not referenced from the body and contains generic crypto boilerplate (Bash(crypto:gas-*), crypto-apis.env, crypto-reports/) that does not match this skill's actual scripts and references.

Dimension	Reasoning	Score
Conciseness	Lean and assumes Claude's competence — no explanation of what gas fees or blockchains are, uses compact tables for chains/tiers, and every section is actionable; matches the lean-and-efficient anchor rather than the mostly-efficient-but-could-tighten level 2.	3 / 3
Actionability	All commands are fully executable and copy-paste ready (e.g. "cd ${CLAUDE_SKILL_DIR}/scripts && python3 gas_optimizer.py current --chain polygon") with real flags and example values, matching the fully-executable anchor rather than the pseudocode/incomplete level 2.	3 / 3
Workflow Clarity	The numbered instructions are a menu of seven independent commands, not a sequenced process, and the body has no validation checkpoints or error-recovery feedback loops; this matches the steps-listed-but-checkpoints-missing anchor, falling short of level 3 which requires explicit validation steps.	2 / 3
Progressive Disclosure	The body is a clean overview with well-signaled, one-level-deep references to errors.md and examples.md (both verified real files) and content appropriately split into tables and pointer sections, matching the clear-overview-with-one-level-references anchor; not level 2 because references are clearly signaled and content is properly separated.	3 / 3
	Total	11 / 12 Passed

Description

100%Weight 40%Scale 1-3

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 is specific, third-person, and explicitly pairs capabilities with a "Use when" trigger clause and natural trigger phrases. It cleanly satisfies all four dimensions with no fluff or over-claims.

Dimension	Reasoning	Score
Specificity	Lists multiple concrete actions — "analyzing prices, patterns, and timing" and "checking gas prices, estimating costs, or finding optimal windows" — matching the multiple-specific-actions anchor rather than the names-domain-but-not-comprehensive level 2.	3 / 3
Completeness	Explicitly answers both what ("Optimize blockchain gas costs by analyzing prices, patterns, and timing") and when via a "Use when..." clause plus a dedicated trigger-phrase sentence, satisfying the both-what-and-when anchor; not level 2 because the when is explicit, not implied.	3 / 3
Trigger Term Quality	Natural user phrases are well covered: "gas prices", "optimize gas", "transaction cost", "when to transact", plus verb forms "checking gas prices" and "estimating costs", reaching the good-coverage anchor rather than the missing-variations level 2.	3 / 3
Distinctiveness Conflict Risk	Blockchain gas optimization is a clear niche with distinct, domain-specific triggers unlikely to collide with other skills, matching the clear-niche anchor rather than the could-overlap level 2.	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
Path: plugins/crypto/gas-fee-optimizer/skills/optimizing-gas-fees/SKILL.md
Commit: 4c47e33

Reviewed: 2 days ago

Table of Contents

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