Agent skill

Wake Token Spotter Analysis

by BankrBot in BankrBot/skills

Get the WAKE engine's analysis of any Base token by contract address.

No licenceAuto-check passed

Install Wake Token Spotter Analysis

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

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

GitHub CLI
$ gh skill install BankrBot/skills wake-token-spotter-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/wake-token-spotter-analysis .claude/skills/wake-token-spotter-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
wake-token-spotter-analysis
GitHub stars
1.2k
Token cost
~4.7k tokens
SKILL.md length
1,473 words
Files
4 (incl. references)
Skills in repo
106
Repo updated
First seen
Licence
None found

At a glance

Get the WAKE engine's analysis of any Base token by contract address.

  • Works in 6 steps: Detect the contract address in the… → Verify the chain context — confirm the… → Call the endpoint with the lowercase… → …
  • The user asks an agent to evaluate
  • SKILL.md covers 🎯 When to Use This Skill, 🚀 Quick Start, 📊 Response Schema Reference and 🔁 Recommended Agent Workflow, plus 5 more sections
  • Calls jq and curl; reaches wakeonbase.com and dexscreener.com

What it does

Wake Token Spotter Analysis is an agent skill from BankrBot/skills. Get the WAKE engine's analysis of any Base token by contract address. Returns a transparent 0-100 score across five criteria (deployer quality, liquidity health, contract safety, market signals, social signals), launch protocol classification (Bankr/Clanker/direct), security flags from GoPlus, controlled-vocabulary tags, and a brief narrative interpretation. Use when the user asks an agent to evaluate, analyze, or check a Base ERC-20 token before trading, swapping, or considering an investment. Read-only…

Its SKILL.md is about 4.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `catalog.json`, `references/example-responses.md` and `references/scoring.md`).

It works with Ethereum. 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 an agent to evaluate
  • Check a Base ERC-20 token before trading
  • Considering an investment

Example prompts

  • “/wake-token-spotter-analysis”

Workflow steps

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

  1. Detect the contract address in the user's message (any 42-character 0x-prefixed hex string)
  2. Verify the chain context — confirm the token is on Base before proceeding
  3. Call the endpoint with the lowercase address
  4. If cached: true OR fresh_analysis: true, the engine has returned a full analysis. Summarize the engine's verdict to the user, including
  5. If cached: false AND fresh_analysis: false, the daily quota has been hit. Direct the user to the WAKE terminal via the…
  6. Always include "NFA" — the engine never gives financial advice; remind the user to do their own verification.

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

    Shell commands in SKILL.md call:

    • jq
    • curl

    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:

    • wakeonbase.com
    • dexscreener.com
    • basescan.org

    Also links to:

    • x.com

    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

Wake Token Spotter Analysis loads about 4.7k tokens when it runs, and up to ~9.6k if it reads all its reference files. Until then it costs about 144 tokens; SKILL.md has 1,473 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~144
When it runs · the whole SKILL.md, loaded when a task matches
~4.7k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~9.6k

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 1,473 words (~4,684 tokens).

“Engine-scored intelligence on Base tokens. Pasted contract address in, transparent breakdown out. Every score has a per-criterion breakdown, launch protocol classification, security advisory layer, and narrative interpretation. Built on a strict separation between deterministic data analysis and interpretive judgment —…”

— opening of SKILL.md by BankrBot
name
wake-token-spotter-analysis
metadata.emoji
🦉
metadata.homepage
https://wakeonbase.com
metadata.network
base
metadata.chainId
8453

Read the full SKILL.md on GitHub

Files

SKILL.md and 3 other files (references) in wake-token-spotter-analysis of BankrBot/skills.

  • SKILL.md
  • catalog.json
  • references/example-responses.md
  • references/scoring.md

Open the folder on GitHubat commit dc47eed

Compare with similar skills

Wake Token Spotter 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.

Wake Token Spotter Analysis compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Wake Token Spotter Analysis this skillBankrBot/skills1.2k—~4.7kAutomated safety check: PassNone
Minara Crypto Trading and WalletMinara-AI/minara-skills362—~5.7kAutomated safety check: PassNone
Create Issuetradingstrategy-ai/frontend150—~607Automated safety check: PassNone
Build On Basebase/skills121—~804Automated safety check: PassMIT
Deposit QrSuperior-Trade/superior-skills215—~1.1kAutomated safety check: PassMIT
Notebook To Strategytradingstrategy-ai/trade-executor160—~1.1kAutomated safety check: PassCustom licence

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Works with

Questions about Wake Token Spotter Analysis

What does Wake Token Spotter Analysis do?

Get the WAKE engine's analysis of any Base token by contract address. Wake Token Spotter Analysis is an agent skill from BankrBot/skills. Get the WAKE engine's analysis of any Base token by contract address.

When should I use Wake Token Spotter Analysis?

Wake Token Spotter Analysis fits situations like: the user asks an agent to evaluate; check a Base ERC-20 token before trading; considering an investment.

How do I install Wake Token Spotter Analysis in Claude Code?

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

How do I install Wake Token Spotter Analysis in Codex?

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

Can I use Wake Token Spotter 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 wake-token-spotter-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/wake-token-spotter-analysis, .gemini/skills/wake-token-spotter-analysis, .github/skills/wake-token-spotter-analysis and .opencode/skills/wake-token-spotter-analysis in your project.

What does Wake Token Spotter Analysis need to run?

Going by SKILL.md and its folder, Wake Token Spotter Analysis needs the command-line tools its instructions call (jq and curl).

Does Wake Token Spotter Analysis access the network?

SKILL.md names 4 domains. In commands or code: wakeonbase.com, dexscreener.com and basescan.org; the agent is likely to contact these when it follows the instructions. As links in the text: x.com. This is read from the text; nothing was executed.

Is Wake Token Spotter 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 Wake Token Spotter Analysis use?

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

How many tokens does Wake Token Spotter Analysis use?

About 4.7k tokens (SKILL.md is roughly 19k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 4.9k tokens, read only when the agent opens those files.

What are the alternatives to Wake Token Spotter Analysis?

Skills that share tags, products or a category with Wake Token Spotter Analysis: Minara Crypto Trading and Wallet (Minara-AI/minara-skills, 362 stars), Create Issue (tradingstrategy-ai/frontend, 150 stars), Build On Base (base/skills, 121 stars) and Deposit Qr (Superior-Trade/superior-skills, 215 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Wake Token Spotter 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 10, 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.