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crypto-bd-agent

Production-tested patterns for building AI agents that autonomously discover, > evaluate, and acquire token listings for cryptocurrency exchanges.

44

Quality

46%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

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tessl review fix ./skills/crypto-bd-agent/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

52%Scale 1-5

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

The skill provides a comprehensive strategic framework for crypto BD agents with well-structured scoring criteria and pipeline stages, but it reads more like a product specification or whitepaper than an actionable skill for Claude. It lacks executable code examples, concrete implementation patterns, and proper progressive disclosure. The promotional content about Buzz BD Agent and SolCex Exchange adds noise without actionable value.

Suggestions

Add executable code examples for key operations: API calls to DexScreener/GeckoTerminal, scoring engine implementation, and wallet analysis queries — currently the skill describes what to do but never shows how.

Split detailed content (wallet forensics implementation, scoring engine code, x402 payment setup, ERC-8004 registration steps) into separate bundle files and reference them from the main SKILL.md.

Remove or minimize the promotional content about Buzz BD Agent/SolCex — the reference implementation section reads as marketing rather than actionable guidance. A single link with one line of context would suffice.

Add explicit error handling and validation feedback loops — e.g., what to do when scoring sources conflict, when wallet forensics is inconclusive, or when a token's data changes between scoring and outreach.

DimensionReasoningScore

Conciseness

The skill contains some unnecessary sections like 'When to Use This Skill' and 'Do Not Use When' that Claude doesn't need, and the overview repeats the description. The reference implementation section is essentially promotional content. However, the tables and scoring criteria are reasonably dense and informative.

3 / 5

Actionability

The skill provides structured frameworks (scoring rubrics, pipeline stages, wallet forensics steps) but lacks executable code. There are no API call examples, no code snippets for implementing the scoring engine, no concrete outreach templates, and no actual implementation patterns — it reads more like a strategic playbook than executable guidance.

3 / 5

Workflow Clarity

The architecture diagram and 10-stage pipeline provide clear sequencing. The wallet forensics 5-step process is well-defined. Human-in-the-loop approval is explicitly required before outreach (a validation checkpoint). However, there are no explicit error recovery loops — e.g., what happens when scoring data conflicts, or when wallet forensics returns ambiguous results.

4 / 5

Progressive Disclosure

This is a long, monolithic document (~200+ lines) with no bundle files and no references to supporting documents for detailed topics like wallet forensics implementation, scoring engine code, or outreach templates. Topics like ERC-8004 registration, x402 payment setup, and LLM cascade configuration each deserve their own reference files but are instead given shallow inline treatment.

2 / 5

Total

12

/

20

Passed

Description

39%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.

The description reads more like a marketing tagline than a functional skill description. It uses buzzword-heavy language ('production-tested patterns', 'autonomously discover, evaluate, and acquire') without specifying concrete actions or providing any trigger guidance for when Claude should select this skill. The cryptocurrency token listing domain is distinctive enough to avoid major conflicts, but the lack of specificity and missing 'when' clause significantly weaken its utility for skill selection.

Suggestions

Add a 'Use when...' clause with trigger terms like 'token listing', 'list a coin', 'exchange listing evaluation', 'crypto listing automation'.

Replace vague verbs with concrete actions, e.g., 'Scrapes token data from aggregators, evaluates liquidity and market cap metrics, generates listing applications for cryptocurrency exchanges'.

Remove marketing language like 'Production-tested patterns' and focus on what the skill actually does and when it should be invoked.

DimensionReasoningScore

Specificity

Names the domain (AI agents for cryptocurrency exchange token listings) but the actions are vague buzzwords: 'discover, evaluate, and acquire' are generic verbs. No concrete actions like 'scrape CoinGecko', 'analyze liquidity metrics', or 'submit listing applications' are mentioned.

2 / 5

Completeness

Provides a vague 'what' (building AI agents for token listings) but has no 'when' clause at all. There is no 'Use when...' guidance, which per the rubric should cap completeness at 3, and the 'what' itself is too abstract to reach even that level.

2 / 5

Trigger Term Quality

Includes some relevant keywords like 'AI agents', 'token listings', 'cryptocurrency exchanges', but misses natural user phrases like 'list a token', 'crypto listing', 'exchange onboarding', 'token evaluation', or specific exchange names. The phrase 'production-tested patterns' is jargon unlikely to appear in user queries.

3 / 5

Distinctiveness Conflict Risk

The niche of cryptocurrency exchange token listing acquisition is fairly specific and unlikely to overlap with most other skills. However, it could overlap with general crypto trading skills or generic AI agent building skills, creating minor conflict risk.

4 / 5

Total

11

/

20

Passed

Validation

90%

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

Validation10 / 11 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

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

Warning

Total

10

/

11

Passed

Repository
administrakt0r/AI-Agents-Safe-Coding-Skills
Reviewed

Table of Contents

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