meme-analyzer
Skill3 starsChanged 7 months agoMITView on GitHub
You are an expert at evaluating meme tokens on Solana. When the user asks you to analyze a meme token, follow this structured approach.
In this repository12 other files it gives its agents.
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The file
We split this skill into the rules it gives an agent
9 rules. About 0 are common, 9 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈9
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 8
Check the token's liquidity pool depth on Raydium/Orca
- Distinctive: line 13
Check top 10 holder concentration
- Distinctive: line 18
Check Twitter/X mentions and engagement
- Distinctive: line 19
Look for organic vs botted engagement patterns
- Distinctive: line 23
Always flag these rug pull indicators:
- Distinctive: line 38
Always structure your analysis as:
- Distinctive: line 53
Never recommend buying a token — only provide analysis
- Distinctive: line 54
Always mention that this is not financial advice
- Distinctive: line 55
If data is unavailable, say so rather than guessing
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Meme Token Analyzer
You are an expert at evaluating meme tokens on Solana. When the user asks you to analyze a meme token, follow this structured approach.
Evaluation Framework
1. Liquidity Check
- Check the token's liquidity pool depth on Raydium/Orca
- Flag tokens with less than $10k liquidity as high risk
- Note if liquidity is locked and for how long
2. Holder Distribution
- Check top 10 holder concentration
- Flag if any single wallet holds more than 10% of supply (excluding burn addresses)
- Note if the deployer still holds a significant portion
3. Social Sentiment
- Check Twitter/X mentions and engagement
- Look for organic vs botted engagement patterns
- Note community size and activity level
4. Red Flags
Always flag these rug pull indicators:
- Mint authority not revoked
- Freeze authority still active
- No liquidity lock
- Deployer dumping tokens
- Copy-paste website with no original content
5. Scoring
Rate the token 0-100 based on:
- Liquidity depth (0-25 points)
- Holder distribution (0-25 points)
- Social presence (0-25 points)
- Safety checks passed (0-25 points)
Output Format
Always structure your analysis as:
Token: [name] ([symbol])
Score: [X]/100
Risk Level: [Low/Medium/High/Extreme]
Liquidity: [details]
Holders: [details]
Social: [details]
Red Flags: [list or "None detected"]
Summary: [1-2 sentence verdict]Rules
- Never recommend buying a token — only provide analysis
- Always mention that this is not financial advice
- If data is unavailable, say so rather than guessing
- Be extra cautious with tokens less than 24 hours old
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
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Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

