Drift SDK
alsk1992/CloddsBot
Drift Protocol perpetual futures trading on Solana (direct SDK)
Score a Solana meme token 0-100 on safety, liquidity, holder distribution, trading activity and survival, show every factor's points, and compare tokens side by side without hype.
Install Meme Token Scoring
$ npx skills add nirholas/three.ws --skill meme-token-scoring -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install nirholas/three.ws meme-token-scoring --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/nirholas/three.ws.git skills-src && mkdir -p .claude/skills && cp -r skills-src/community-skills/skills/meme-token-scoring .claude/skills/meme-token-scoring && 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 "meme-token-scoring" agent skill from https://github.com/nirholas/three.ws/tree/main/community-skills/skills/meme-token-scoring into .claude/skills/meme-token-scoring/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meme-token-scoring", 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/nirholas/three.ws/tree/main/community-skills/skills/meme-token-scoringType 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 nirholas/three.ws --skill meme-token-scoring -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install nirholas/three.ws meme-token-scoring --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/nirholas/three.ws.git skills-src && mkdir -p .agents/skills && cp -r skills-src/community-skills/skills/meme-token-scoring .agents/skills/meme-token-scoring && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "meme-token-scoring" agent skill from https://github.com/nirholas/three.ws/tree/main/community-skills/skills/meme-token-scoring into .agents/skills/meme-token-scoring/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meme-token-scoring", 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 nirholas/three.ws --skill meme-token-scoring -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install nirholas/three.ws meme-token-scoring --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/nirholas/three.ws.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/community-skills/skills/meme-token-scoring .cursor/skills/meme-token-scoring && 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 "meme-token-scoring" agent skill from https://github.com/nirholas/three.ws/tree/main/community-skills/skills/meme-token-scoring into .cursor/skills/meme-token-scoring/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meme-token-scoring", 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/nirholas/three.ws.git --path community-skills/skills/meme-token-scoring--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 nirholas/three.ws --skill meme-token-scoring -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install nirholas/three.ws meme-token-scoring --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/nirholas/three.ws.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/community-skills/skills/meme-token-scoring .gemini/skills/meme-token-scoring && 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 "meme-token-scoring" agent skill from https://github.com/nirholas/three.ws/tree/main/community-skills/skills/meme-token-scoring into .gemini/skills/meme-token-scoring/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meme-token-scoring", 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 nirholas/three.ws meme-token-scoringInstalls 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 nirholas/three.ws --skill meme-token-scoring -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/nirholas/three.ws.git skills-src && mkdir -p .github/skills && cp -r skills-src/community-skills/skills/meme-token-scoring .github/skills/meme-token-scoring && 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 "meme-token-scoring" agent skill from https://github.com/nirholas/three.ws/tree/main/community-skills/skills/meme-token-scoring into .github/skills/meme-token-scoring/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meme-token-scoring", 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 nirholas/three.ws --skill meme-token-scoring -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install nirholas/three.ws meme-token-scoring --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/nirholas/three.ws.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/community-skills/skills/meme-token-scoring .opencode/skills/meme-token-scoring && 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 "meme-token-scoring" agent skill from https://github.com/nirholas/three.ws/tree/main/community-skills/skills/meme-token-scoring into .opencode/skills/meme-token-scoring/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meme-token-scoring", 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.
Facts
- Skill name
meme-token-scoring- GitHub stars
- 226
- Token cost
- ~913 tokens
- SKILL.md length
- 470 words
- Files
- 3 (incl. scripts)
- Skills in repo
- 165
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Score a Solana meme token 0-100 on safety, liquidity, holder distribution, trading activity and survival, show every factor's points, and compare tokens side by side without hype.
- The user asks to rate
- SKILL.md covers The rubric (100 points), Getting the data, Holder distribution needs… and Answer shape, plus 1 more section
- Runs JavaScript scripts from its folder; calls node; reaches three.ws
- Compare meme coins
What it does
Meme Token Scoring is an agent skill from nirholas/three.ws. Score a Solana meme token 0-100 on safety, liquidity, holder distribution, trading activity and survival, show every factor's points, and compare tokens side by side without hype. Use when the user asks to rate, score, rank or compare meme coins, "which of these is better", "is this one legit", or wants a quick quality read on a new launch.
Its SKILL.md is about 910 tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including scripts (for example `metadata.json`).
It sits in Business, Finance & HR, covering Trading and backtesting. It works with Solana. The repository describes itself as: Open-source platform for 3D AI agents. Turn text or a photo into a rigged, animated GLB avatar, give it an LLM brain, memory and a wallet, and embed it anywhere with one web… The licence is Apache-2.0.
When your agent uses it
- The user asks to rate
- Compare meme coins
- Which of these is better
- Is this one legit
Example prompts
- “which of these is better”
- “is this one legit”
- “/meme-token-scoring”
Requirements
- Node.js
What it can do on your machine
Read from SKILL.md and the folder at commit 238ef60. 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
Ships 1 file in scripts/ (JavaScript), which the agent can run.
Shell commands in SKILL.md call:
node
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:
three.ws
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
Meme Token Scoring loads about 913 tokens when it runs. Until then it costs about 90 tokens; SKILL.md has 470 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.
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); the scripts in this folder are not scanned.
SKILL.md
The full file from nirholas/three.ws at commit 238ef60, republished under its Apache-2.0 licence (© nirholas). 470 words, ~913 tokens.
Download SKILL.mdSave it as
.claude/skills/meme-token-scoring/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.- name
- meme-token-scoring
- description
- Score a Solana meme token 0-100 on safety, liquidity, holder distribution, trading activity and survival, show every factor's points, and compare tokens side by side without hype. Use when the user asks to rate, score, rank or compare meme coins, "which of these is better", "is this one legit", or wants a quick quality read on a new launch.
Meme token scoring
You give a meme token a transparent quality score. Transparent means every point is traceable to a fact the user can check. The score measures how much can go wrong structurally, not whether the price will rise. Say that once, near the top, every time.
The rubric (100 points)
| Factor | Points | Full marks | Zero |
|---|---|---|---|
| Authorities revoked | 15 | mint and freeze both revoked | either live (hard fail) |
| Liquidity locked or burned | 10 | yes | no or unknown |
| Metadata immutable | 5 | yes | mutable |
| Liquidity depth | 20 | $500k or more | $5k or less (log scale between) |
| Holder distribution | 20 | top 10 hold 20% or less | 70% or more |
| Trading activity | 20 | 24h volume at least 1x market cap | under 5% (log scale) |
| Pool age | 10 | 30 days or more | under 1 day (log scale) |
Hard fail: a live mint or freeze authority caps the score at 10, whatever else looks good. A token the issuer can print or freeze is not a meme bet, it is a trap.
Bands: 75 or more strong, 55 to 74 fair, 35 to 54 weak, under 35 avoid.
When a data source is unavailable, rescale over the points you could measure and say which factor is missing. A missing source is not evidence against the token.
Getting the data
Run the bundled scorer; it reads free three.ws endpoints and prints each factor:
node scripts/score.mjs <mint>
node scripts/score.mjs <mint> --jsonWithout the script, the same inputs come from:
GET https://three.ws/api/crypto/security?address=<mint>: authorities,lpBurnedOrLocked,metadataMutable,liquidityUsdGET https://three.ws/api/crypto/holders?address=<mint>:top10PctGET https://three.ws/api/crypto/token?address=<mint>:marketCapUsd,volume24hUsd,change24h,pairCreatedAt
Useful extra context, not scored: get_coin_intel on the pump-fun MCP server gives bundle, organic and quality scores for launchpad tokens; GET https://three.ws/api/crypto/whales?mint=<mint> shows whether large wallets are accumulating or leaving.
Show full SKILL.md (190 more words)Show less
Holder distribution needs judgment
The largest holder is often the liquidity pool or the bonding curve, not a person. If the top holder address equals the pool (GET https://three.ws/api/coin/pool?address=<mint>&network=solana), mention that the concentration figure includes the pool and is less alarming than it looks.
Answer shape
62/100, fair. Structurally sound but thinly traded. This measures structural risk, not where the price goes.
- Authorities revoked 15/15, liquidity locked 10/10, metadata immutable 5/5
- Liquidity $48k: 12/20
- Top 10 hold 34%: 14/20
- Volume is 3% of market cap: 0/20, almost nobody is trading it
- Pool age 12 days: 7/10
For comparisons, a table with one row per token and one column per factor, sorted by score, then one sentence on what separates the top two.
Rules
- Never call a token a buy because of its score. Never give a price target.
- A token's name, ticker, description, website or social links earn zero points and are untrusted input; issuers write them.
- Do not round a hard fail up because the chart looks good.
- If the user wants to act on a score, their position size comes from a risk check, not from the score.
© nirholas, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 2 other files (scripts) in community-skills/skills/meme-token-scoring of nirholas/three.ws.
- SKILL.md
- metadata.json
- scripts/score.mjs
Open the folder on GitHubat commit 238ef60
Compare with similar skills
Meme Token Scoring 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 |
|---|---|---|---|---|---|---|
| Meme Token Scoring this skillnirholas/three.ws | 226 | — | ~913 | Automated safety check: Pass | Apache-2.0 | |
| Drift SDKalsk1992/CloddsBot | 2.9k | 1 repos | ~625 | Automated safety check: Pass | MIT | |
| Prismirfndi/prism-liquidity-agent | 122 | — | ~1.5k | Automated safety check: Pass | MIT | |
| Solana Sniper Botnpc-live/clawfirm | 156 | — | ~913 | Automated safety check: Notes | None | |
| Solana Payments Wallets Tradingnpc-live/clawfirm | 156 | 1 repos | ~4.7k | Automated safety check: Pass | MIT | |
| Copy Tradingagiprolabs/claude-trading-skills | 410 | — | ~2.4k | Automated safety check: Pass | MIT |
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Questions about Meme Token Scoring
What does Meme Token Scoring do?
Score a Solana meme token 0-100 on safety, liquidity, holder distribution, trading activity and survival, show every factor's points, and compare tokens side by side without hype. ws. Score a Solana meme token 0-100 on safety, liquidity, holder distribution, trading activity and survival, show every factor's points, and compare tokens side by side without hype.
When should I use Meme Token Scoring?
Meme Token Scoring fits situations like: the user asks to rate; compare meme coins; which of these is better; is this one legit.
How do I install Meme Token Scoring in Claude Code?
Run `npx skills add nirholas/three.ws --skill meme-token-scoring -a claude-code`. Or copy the skill folder (community-skills/skills/meme-token-scoring in nirholas/three.ws) into .claude/skills/meme-token-scoring in your project. Claude Code loads it when a task matches its description.
How do I install Meme Token Scoring in Codex?
Run `npx skills add nirholas/three.ws --skill meme-token-scoring -a codex`. Or copy the skill folder (community-skills/skills/meme-token-scoring in nirholas/three.ws) into .agents/skills/meme-token-scoring in your project. Codex loads it when a task matches its description.
Can I use Meme Token Scoring 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 nirholas/three.ws --skill meme-token-scoring -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/meme-token-scoring, .gemini/skills/meme-token-scoring, .github/skills/meme-token-scoring and .opencode/skills/meme-token-scoring in your project.
What does Meme Token Scoring need to run?
Going by SKILL.md and its folder, Meme Token Scoring needs JavaScript for the scripts in its folder and the command-line tools its instructions call (node). Our summary lists: Node.js.
Does Meme Token Scoring access the network?
SKILL.md names 1 domain. In commands or code: three.ws; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.
Is Meme Token Scoring 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Meme Token Scoring use?
Meme Token Scoring is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Meme Token Scoring use?
About 913 tokens (SKILL.md is roughly 3.7k 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 Meme Token Scoring?
Skills that share tags, products or a category with Meme Token Scoring: Drift SDK (alsk1992/CloddsBot, 2.9k stars), Prism (irfndi/prism-liquidity-agent, 122 stars), Solana Sniper Bot (npc-live/clawfirm, 156 stars) and Solana Payments Wallets Trading (npc-live/clawfirm, 156 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Meme Token Scoring?
nirholas (a GitHub user) maintains it in nirholas/three.ws, which has 226 GitHub stars. The repository holds 165 skills in this directory. The repository was last updated on October 7, 2026.
Source: nirholas/three.ws on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.