Okx Cex Earn
okx/agent-skills
Manages OKX Simple Earn (flexible savings/lending), Flash Earn, On-chain Earn (staking/DeFi), Dual Investment (DCD/双币赢), and AutoEarn (自动赚币) via the okx CLI.
Deep on-chain scam / rug / soft-rug analysis for EVM tokens (especially Clanker, Doppler, Bankr-style single-admin ERC-20s).
$ npx skills add BankrBot/skills --skill token-scam-analysis -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install BankrBot/skills token-scam-analysis --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-srcUse ~/.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/
Install the "token-scam-analysis" agent skill from https://github.com/BankrBot/skills/tree/main/bankr-token-scam-analysis into .claude/skills/token-scam-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "token-scam-analysis", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/BankrBot/skills/tree/main/bankr-token-scam-analysisType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add BankrBot/skills --skill token-scam-analysis -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install BankrBot/skills token-scam-analysis --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/BankrBot/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/bankr-token-scam-analysis .agents/skills/token-scam-analysis && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "token-scam-analysis" agent skill from https://github.com/BankrBot/skills/tree/main/bankr-token-scam-analysis into .agents/skills/token-scam-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "token-scam-analysis", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add BankrBot/skills --skill token-scam-analysis -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install BankrBot/skills token-scam-analysis --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/BankrBot/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/bankr-token-scam-analysis .cursor/skills/token-scam-analysis && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "token-scam-analysis" agent skill from https://github.com/BankrBot/skills/tree/main/bankr-token-scam-analysis into .cursor/skills/token-scam-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "token-scam-analysis", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/BankrBot/skills.git --path bankr-token-scam-analysis--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add BankrBot/skills --skill token-scam-analysis -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install BankrBot/skills token-scam-analysis --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/BankrBot/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/bankr-token-scam-analysis .gemini/skills/token-scam-analysis && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "token-scam-analysis" agent skill from https://github.com/BankrBot/skills/tree/main/bankr-token-scam-analysis into .gemini/skills/token-scam-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "token-scam-analysis", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install BankrBot/skills token-scam-analysisInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add BankrBot/skills --skill token-scam-analysis -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/BankrBot/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/bankr-token-scam-analysis .github/skills/token-scam-analysis && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "token-scam-analysis" agent skill from https://github.com/BankrBot/skills/tree/main/bankr-token-scam-analysis into .github/skills/token-scam-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "token-scam-analysis", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add BankrBot/skills --skill token-scam-analysis -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install BankrBot/skills token-scam-analysis --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/BankrBot/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/bankr-token-scam-analysis .opencode/skills/token-scam-analysis && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "token-scam-analysis" agent skill from https://github.com/BankrBot/skills/tree/main/bankr-token-scam-analysis into .opencode/skills/token-scam-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "token-scam-analysis", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
token-scam-analysisDeep 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). 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.
11 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit dc47eed. It shows what the files ask for, not the result of running them.
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.
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.
Hosts in commands or code, which the agent is likely to contact:
basescan.orgx.comAlso links to:
clanker.gitbook.ioFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
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.
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.
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.
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.”
SKILL.md and 1 other file in bankr-token-scam-analysis of BankrBot/skills.
Open the folder on GitHubat commit dc47eed
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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Token Scam Analysis this skillBankrBot/skills | 1.2k | — | ~5.7k | Automated safety check: Pass | None | |
| Okx Cex Earnokx/agent-skills | 186 | 2 repos | ~3.3k | Automated safety check: Pass | MIT | |
| Onchain Pay Open APInpc-live/clawfirm | 156 | 1 repos | ~4.9k | Automated safety check: Pass | MIT | |
| Aptos Explorer Urlsaptos-labs/explorer | 124 | — | ~1.2k | Automated safety check: Pass | None | |
| Bridge Stablecoincirclefin/skills | 155 | — | ~3.4k | Automated safety check: Notes | Apache-2.0 | |
| Oracle Flashloan Analysisquillai-network/quillshield_skills | 130 | — | ~2.8k | Automated safety check: Pass | MIT |
okx/agent-skills
Manages OKX Simple Earn (flexible savings/lending), Flash Earn, On-chain Earn (staking/DeFi), Dual Investment (DCD/双币赢), and AutoEarn (自动赚币) via the okx CLI.
npc-live/clawfirm
Binance Onchain Pay enables users to buy cryptocurrency with fiat (e.g., EUR, USD) or send existing crypto from their Binance account directly to any external on-chain wallet address in a single…
aptos-labs/explorer
Map questions about Aptos blockchain entities (transactions, accounts, blocks, validators, coins, fungible assets, NFTs, Move objects, ANS names) to canonical Aptos Explorer URLs at…
circlefin/skills
Build browser or server USDC bridging with Circle App Kit or standalone Bridge Kit and CCTP.
quillai-network/quillshield_skills
Detects price oracle manipulation and flash loan attack vectors in DeFi smart contracts.
internet-court/internet-court-skill
Register AI agents on-chain using the ERC-8004 Trustless Agents standard.
BankrBot/skills
Builds onchain apps with Coinbase's OnchainKit React components and TypeScript utilities: wallet connection, identity, token swaps, transactions and checkout flows.
BankrBot/skills
Lists AgenticBets prediction markets on Base, shows odds, places UP or DOWN bets on token prices in USDC and claims winnings through the Bankr wallet API.
BankrBot/skills
Creates AI2Human tasks for steps that need a real person, such as manual QA or local checks, and returns a task URL the agent can track.
BankrBot/skills
Lets an agent inspect and operate AZZLE V2 tasks on Base through Bankr, from posting and claiming to funding, delivery, release and disputes, behind verified deployment pins.
BankrBot/skills
Inspect B20 token contract addresses on Base through B20 Console.
BankrBot/skills
Paste a URL or free text and get matched Polymarket / Hyperliquid / Deribit markets with Quotient edge scores.
Categories
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).
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.
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.
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.
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.
SKILL.md names no scripts, command-line tools or credentials: Token Scam Analysis is instructions for the agent only.
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.
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.
No licence was found for Token Scam Analysis or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
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.
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.
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.