emblem-memecoin-scout

Memecoin discovery and risk assessment via EmblemAI. Trending memecoins on Solana, Base, and Hedera. Pump.fun and LaunchLab new token alerts, Clanker discovery, rug-pull detection, holder analysis, and smart money tracking. Use when the user wants to find new memecoins, check if a token is a rug pull, or scout trending low-cap tokens.

Quality

94%

Does it follow best practices?

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Adds up to 20 points to the overall score

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Securityby

Low

Low-risk findings worth noting

Quality

Content

86%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.

A well-structured, highly actionable skill body built around copy-paste executable commands and a clear scouting workflow. Main weakness is modest structural duplication between the two capability tables and the Scouting Patterns section.

Suggestions

Merge or cross-reference the 'What This Skill Can Do' and 'Supported Platforms' tables, which list near-identical tool/chain information, to remove redundancy.

Add an explicit validation checkpoint in the Scout and Evaluate workflow (e.g. 'Only proceed to Volume Deep Dive if rugcheck score_normalised >= 50') to convert the implicit risk gate into a hard step.

Trim the Scouting Patterns section, which repeats command patterns already demonstrated in Quick Start and the Workflow, or fold it into those sections as variants.

Dimension	Reasoning	Score
Conciseness	Lean and command-focused throughout, but the 'What This Skill Can Do' and 'Supported Platforms' tables overlap heavily and the Scouting Patterns section repeats command patterns already shown in Quick Start/Workflow — minor trimming opportunities. Not a 3 because there is no padded concept explanation, and not a 5 because of the structural duplication.	4 / 5
Actionability	Fully executable, copy-paste-ready bash commands naming exact tools and parameters cover the common cases — e.g. 'Use getPumpFunTokens with type about_to_graduate to show tokens about to graduate with volume and holder data'.	5 / 5
Workflow Clarity	The 'Scout and Evaluate' workflow sequences four explicit, commanded steps (Discovery → Risk Check → Volume → Smart Money) and the Risk Assessment table supplies decision thresholds; minor gap is that no explicit 'only proceed if risk acceptable' checkpoint links Step 2 to later steps.	4 / 5
Progressive Disclosure	Well-organized sections with a clearly signaled one-level-deep reference to a real bundle file (scripts/memecoin-scan.sh, verified present) and a Links section; no nested references and easy to navigate.	5 / 5
	Total	18 / 20 Passed

Description

100%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.

A strong, specific description that names concrete capabilities and provides explicit 'Use when...' trigger guidance with natural user phrasing. It is concise, distinctive, and avoids vague fluff.

Dimension	Reasoning	Score
Specificity	Lists multiple concrete actions — 'Pump.fun and LaunchLab new token alerts, Clanker discovery, rug-pull detection, holder analysis, and smart money tracking' — with comprehensive coverage of what the skill does, matching the score-5 anchor.	5 / 5
Completeness	Explicitly answers both what ('Memecoin discovery and risk assessment... detection, analysis, tracking') and when ('Use when the user wants to find new memecoins, check if a token is a rug pull, or scout trending low-cap tokens') with concrete trigger phrases.	5 / 5
Trigger Term Quality	Natural user phrasing is comprehensive: 'find new memecoins', 'check if a token is a rug pull', 'scout trending low-cap tokens' are exactly what a user would say, plus chain/platform synonyms.	5 / 5
Distinctiveness Conflict Risk	Clear niche (memecoin discovery and rug-pull risk on named chains) with distinct triggers; minimal overlap risk with other skills. Uses third-person voice throughout with no first/second-person slips.	5 / 5
	Total	20 / 20 Passed

Validation

100%

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 — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository: EmblemCompany/Agent-skills
Path: skills/emblem-memecoin-scout/SKILL.md
Commit: 9a68a35

Reviewed: 6 days ago

Table of Contents

Discovery Implementation Validation

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