Agent skill

Token Scam Analysis

by BankrBot in BankrBot/skills

Deep on-chain scam / rug / soft-rug analysis for EVM tokens (especially Clanker, Doppler, Bankr-style single-admin ERC-20s).

No licenceAuto-check passedBusiness, Finance & HR

Install Token Scam Analysis

skills CLI
$ npx skills add BankrBot/skills --skill token-scam-analysis -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install BankrBot/skills token-scam-analysis --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/BankrBot/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/bankr-token-scam-analysis .claude/skills/token-scam-analysis && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
token-scam-analysis
GitHub stars
1.2k
Token cost
~5.7k tokens
SKILL.md length
3,006 words
Files
2
Skills in repo
106
Repo updated
First seen
Licence
None found

At a glance

Deep on-chain scam / rug / soft-rug analysis for EVM tokens (especially Clanker, Doppler, Bankr-style single-admin ERC-20s).

  • Works in 11 steps: token_search (identifier_type=address,… → get_token_launch_info — if the token was… → get_contract_abi (chain=...) — confirm… → …
  • The user asks to analyze this token for scam
  • SKILL.md covers When to use this skill, Core principle, Step 0 — Read the platform's… and Tool map (roughly in order of…, plus 6 more sections
  • Reaches basescan.org and x.com

What it does

Token Scam Analysis is an agent skill from BankrBot/skills. 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".

Its SKILL.md is about 5.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `catalog.json`).

It sits in Business, Finance & HR, covering Smart contracts and Crypto and DeFi analysis. The repository describes itself as: Bankr Skills equip builders with plug-and-play tools to build more powerful agents.

When your agent uses it

  • The user asks to analyze this token for scam
  • Should I trust this migration
  • Do a deep dive on holders and deployer
  • More token addresses and wants a risk verdict backed by on-chain facts

Example prompts

  • “analyze this token for scam”
  • “is this a rug”
  • “should I trust this migration”
  • “/token-scam-analysis”

Workflow steps

11 steps, taken from the first numbered list in SKILL.md.

  1. token_search (identifier_type=address, chain=...) — baseline market data: price, mcap, volume, 24h change, holder count, security scan…
  2. get_token_launch_info — if the token was deployed via Bankr/Doppler, you get the deployer wallet + twitter handle + tweet URL for free…
  3. get_contract_abi (chain=...) — confirm the address is a real contract and enumerate read/write functions. Flag dangerous functions: mint…
  4. read_contract for on-chain state. For Clanker v4 tokens
  5. get_clanker_reward_ownership (tokenAddress, chain) — returns every reward recipient/admin slot for the token. This is the single best…
  6. Direct viem reads via execute_cli when you need to batch-check balances, detect contract vs EOA (top holders with 48-byte bytecode are AA…
  7. market_intelligence with query_type="holders" (chain, token_id=contract address, limit up to 20) — top holder distribution. The #1 holder…
  8. get_chain_activity_for_wallet on each interesting wallet
  9. get_evm_address_from_twitter_username / get_evm_address_from_farcaster_username — resolve the claimed social handle to a wallet. Then…
  10. browse_url on basescan/etherscan/polygonscan (https://basescan.org/address/{addr}) only as fallback when get_contract_abi fails or to…
  11. perform_technical_analysis (only if user is Bankr Club — will error otherwise, don't retry).

What it can do on your machine

Read from SKILL.md and the folder at commit dc47eed. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • basescan.org
    • x.com

    Also links to:

    • clanker.gitbook.io

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Token Scam Analysis loads about 5.7k tokens when it runs. Until then it costs about 122 tokens; SKILL.md has 3,006 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~122
When it runs · the whole SKILL.md, loaded when a task matches
~5.7k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 3,006 words (~5,732 tokens).

“You are performing a forensic on-chain analysis to determine whether a token (or set of tokens) is a scam, rug-pull, or soft-rug. The output is a written report saved to the user's file storage plus a verdict in chat.”

— opening of SKILL.md by BankrBot
name
token-scam-analysis
emoji
🔍
tags
scam, rug, analysis, forensics, clanker, doppler, evm, security
visibility
public

Read the full SKILL.md on GitHub

Files

SKILL.md and 1 other file in bankr-token-scam-analysis of BankrBot/skills.

  • SKILL.md
  • catalog.json

Open the folder on GitHubat commit dc47eed

Compare with similar skills

Token Scam Analysis next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Token Scam Analysis compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Token Scam Analysis this skillBankrBot/skills1.2k—~5.7kAutomated safety check: PassNone
Okx Cex Earnokx/agent-skills1862 repos~3.3kAutomated safety check: PassMIT
Onchain Pay Open APInpc-live/clawfirm1561 repos~4.9kAutomated safety check: PassMIT
Aptos Explorer Urlsaptos-labs/explorer124—~1.2kAutomated safety check: PassNone
Bridge Stablecoincirclefin/skills155—~3.4kAutomated safety check: NotesApache-2.0
Oracle Flashloan Analysisquillai-network/quillshield_skills130—~2.8kAutomated safety check: PassMIT

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Questions about Token Scam Analysis

What does Token Scam Analysis do?

Deep on-chain scam / rug / soft-rug analysis for EVM tokens (especially Clanker, Doppler, Bankr-style single-admin ERC-20s). Token Scam Analysis is an agent skill from BankrBot/skills. Deep on-chain scam / rug / soft-rug analysis for EVM tokens (especially Clanker, Doppler, Bankr-style single-admin ERC-20s).

When should I use Token Scam Analysis?

Token Scam Analysis fits situations like: the user asks to analyze this token for scam; should I trust this migration; do a deep dive on holders and deployer; more token addresses and wants a risk verdict backed by on-chain facts.

How do I install Token Scam Analysis in Claude Code?

Run `npx skills add BankrBot/skills --skill token-scam-analysis -a claude-code`. Or copy the skill folder (bankr-token-scam-analysis in BankrBot/skills) into .claude/skills/token-scam-analysis in your project. Claude Code loads it when a task matches its description.

How do I install Token Scam Analysis in Codex?

Run `npx skills add BankrBot/skills --skill token-scam-analysis -a codex`. Or copy the skill folder (bankr-token-scam-analysis in BankrBot/skills) into .agents/skills/token-scam-analysis in your project. Codex loads it when a task matches its description.

Can I use Token Scam Analysis in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add BankrBot/skills --skill token-scam-analysis -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/token-scam-analysis, .gemini/skills/token-scam-analysis, .github/skills/token-scam-analysis and .opencode/skills/token-scam-analysis in your project.

What does Token Scam Analysis need to run?

SKILL.md names no scripts, command-line tools or credentials: Token Scam Analysis is instructions for the agent only.

Does Token Scam Analysis access the network?

SKILL.md names 3 domains. In commands or code: basescan.org and x.com; the agent is likely to contact these when it follows the instructions. As links in the text: clanker.gitbook.io. This is read from the text; nothing was executed.

Is Token Scam Analysis safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Token Scam Analysis use?

No licence was found for Token Scam Analysis or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Token Scam Analysis use?

About 5.7k tokens (SKILL.md is roughly 23k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Token Scam Analysis?

Skills that share tags, products or a category with Token Scam Analysis: Okx Cex Earn (okx/agent-skills, 186 stars), Onchain Pay Open API (npc-live/clawfirm, 156 stars), Aptos Explorer Urls (aptos-labs/explorer, 124 stars) and Bridge Stablecoin (circlefin/skills, 155 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Token Scam Analysis?

BankrBot (a GitHub organization) maintains it in BankrBot/skills, which has 1,202 GitHub stars. The repository holds 106 skills in this directory. The repository was last updated on October 5, 2026.

Source: BankrBot/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.