token-scam-analysis

token-scam-analysis is a Smart contracts & Web3 skill for AI agents, published by BankrBot in the skills repository on GitHub. Skillspace rates token-scam-analysis D (68/100) and the safety scan flagged it for review; the rating is based on static analysis only.

Deep on-chain scam / rug / soft-rug analysis for EVM tokens (especially Clanker, Doppler, Bankr-style single-admin ERC-20s). Use when the user asks to "analyze this token for scam", "is this a rug", "should I trust this migration", "do a deep dive on holders and deployer", or provides one or more token addresses and wants a risk verdict backed by on-chain facts. Especially useful for migration narratives where a team claims they are "redeploying to fix tokenomics".

Grade
D
Quality
68 / 100
Safety
Needs review
GitHub stars
1,197

Unproven: rated by static analysis only, not yet compared head-to-head.

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

View source on GitHubBankrBot/skills

Our review

Architecture
100 / 100
Maturity
Basic: a single SKILL.md
Security scan
Medium-risk patterns
License
Not declared. Check the repository before reusing it.

What the scanner flagged

  • reads environment variables
  • mentions secrets in text

Not checked yet

  • Category is a classifier prediction; no model has read this skill yet
  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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