Prism
irfndi/prism-liquidity-agent
Operate Prism, an autonomous Solana DLMM liquidity agent for Meteora pools.
Wallet evaluation, monitoring, and copy-trade strategy design for Solana DEX trading
Install Copy Trading
$ npx skills add agiprolabs/claude-trading-skills --skill copy-trading -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install agiprolabs/claude-trading-skills copy-trading --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/agiprolabs/claude-trading-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/copy-trading .claude/skills/copy-trading && 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 "copy-trading" agent skill from https://github.com/agiprolabs/claude-trading-skills/tree/main/skills/copy-trading into .claude/skills/copy-trading/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "copy-trading", 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/agiprolabs/claude-trading-skills/tree/main/skills/copy-tradingType 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 agiprolabs/claude-trading-skills --skill copy-trading -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install agiprolabs/claude-trading-skills copy-trading --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agiprolabs/claude-trading-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/copy-trading .agents/skills/copy-trading && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "copy-trading" agent skill from https://github.com/agiprolabs/claude-trading-skills/tree/main/skills/copy-trading into .agents/skills/copy-trading/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "copy-trading", 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 agiprolabs/claude-trading-skills --skill copy-trading -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install agiprolabs/claude-trading-skills copy-trading --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agiprolabs/claude-trading-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/copy-trading .cursor/skills/copy-trading && 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 "copy-trading" agent skill from https://github.com/agiprolabs/claude-trading-skills/tree/main/skills/copy-trading into .cursor/skills/copy-trading/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "copy-trading", 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/agiprolabs/claude-trading-skills.git --path skills/copy-trading--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 agiprolabs/claude-trading-skills --skill copy-trading -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install agiprolabs/claude-trading-skills copy-trading --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agiprolabs/claude-trading-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/copy-trading .gemini/skills/copy-trading && 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 "copy-trading" agent skill from https://github.com/agiprolabs/claude-trading-skills/tree/main/skills/copy-trading into .gemini/skills/copy-trading/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "copy-trading", 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 agiprolabs/claude-trading-skills copy-tradingInstalls 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 agiprolabs/claude-trading-skills --skill copy-trading -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/agiprolabs/claude-trading-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/copy-trading .github/skills/copy-trading && 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 "copy-trading" agent skill from https://github.com/agiprolabs/claude-trading-skills/tree/main/skills/copy-trading into .github/skills/copy-trading/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "copy-trading", 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 agiprolabs/claude-trading-skills --skill copy-trading -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install agiprolabs/claude-trading-skills copy-trading --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agiprolabs/claude-trading-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/copy-trading .opencode/skills/copy-trading && 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 "copy-trading" agent skill from https://github.com/agiprolabs/claude-trading-skills/tree/main/skills/copy-trading into .opencode/skills/copy-trading/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "copy-trading", 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
copy-trading- GitHub stars
- 410
- Token cost
- ~2.4k tokens
- SKILL.md length
- 1,141 words
- Files
- 6 (incl. scripts, references)
- Skills in repo
- 68
- Repo updated
- First seen
- Licence
- MIT
At a glance
Wallet evaluation, monitoring, and copy-trade strategy design for Solana DEX trading
- Works in 6 steps: Discovery → Evaluation → Filtering → …
- Tasks that involve Trading and backtesting
- SKILL.md covers What Copy Trading Means on…, The Copy-Trade Pipeline, Wallet Scoring for Copy… and Position Sizing for Copy Trades, plus 3 more sections
- Runs Python scripts from its folder
What it does
Copy Trading is an agent skill from agiprolabs/claude-trading-skills. Wallet evaluation, monitoring, and copy-trade strategy design for Solana DEX trading
Its SKILL.md is about 2.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including scripts and reference files (for example `references/execution_strategy.md`, `references/risk_framework.md` and `references/wallet_discovery.md`).
It sits in Business, Finance & HR, covering Trading and backtesting. It works with Solana. The repository describes itself as: 68 trading, DeFi, and quantitative finance Agent Skills. Works with Claude Code, Cursor, Codex, Gemini CLI, and 30+ other tools. The licence is MIT.
When your agent uses it
- Tasks that involve Trading and backtesting
Example prompts
- “/copy-trading”
Requirements
- Python 3
Workflow steps
6 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 981e1d7. 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 2 files in scripts/ (Python), which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
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
Copy Trading loads about 2.4k tokens when it runs, and up to ~8.3k if it reads all its reference files. Until then it costs about 24 tokens; SKILL.md has 1,141 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 agiprolabs/claude-trading-skills at commit 981e1d7, republished under its MIT licence (© agiprolabs). 1,141 words, ~2,410 tokens.
Download SKILL.mdSave it as
.claude/skills/copy-trading/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.- name
- copy-trading
- description
- Wallet evaluation, monitoring, and copy-trade strategy design for Solana DEX trading
Copy Trading
Wallet evaluation, monitoring, and copy-trade strategy design for Solana DEX trading. Identify profitable wallets on-chain, evaluate whether their edge is real and replicable, monitor their activity in real time, and execute proportionally-sized trades with independent risk controls.
What Copy Trading Means on Solana
Copy trading is the practice of monitoring one or more wallets that have demonstrated consistent profitability and replicating their trades in your own wallet. On Solana, every DEX swap is publicly visible on-chain within seconds, making it technically feasible to detect and follow any wallet's activity.
How It Differs from TradFi Copy Trading
| Dimension | TradFi (eToro, etc.) | Solana On-Chain |
|---|---|---|
| Data source | Platform-reported P&L | Verifiable on-chain transactions |
| Latency | Minutes to hours | Seconds (websocket) to sub-second (gRPC) |
| Front-running risk | Low | High (MEV bots, sandwich attacks) |
| Trade cost | Commissions + spread | Gas + slippage + priority fees |
| Capacity | High (large-cap equities) | Low (micro-cap tokens have thin liquidity) |
| Signal decay | Slow | Fast (PumpFun tokens move in minutes) |
| Transparency | Partial (delayed reporting) | Full (every transaction is public) |
The core tradeoff: Solana provides perfect transparency but introduces execution risk. The wallet you copy got a price that no longer exists by the time you trade.
The Copy-Trade Pipeline
Stage 1 — Discovery
Find wallets with strong track records. Sources include:
- SolanaTracker Top Traders:
GET /top-traders/{token}returns the highest-PnL wallets for any token - Birdeye Trader Rankings: wallet-level P&L leaderboards by token or globally
- On-chain leaderboards: community-built dashboards (GMGN, Cielo, Arkham)
- Social signals: wallets shared on Twitter/X or Telegram alpha groups
- Your own analysis: run
token-holder-analysison a token that performed well, then profile the top holders
See references/wallet_discovery.md for detailed source documentation and scoring methodology.
Stage 2 — Evaluation
Every discovered wallet must pass quantitative evaluation before it enters a copy list. Use the wallet-profiling skill for deep behavioral analysis, then apply copy-trade-specific criteria.
Minimum thresholds:
| Metric | Minimum | Why |
|---|---|---|
| Trade count (30d) | >= 50 | Statistical significance |
| Win rate | >= 55% | Edge above random |
| Profit factor | >= 1.5 | Wins meaningfully exceed losses |
| Last active | Within 7 days | Still trading, not abandoned |
| Distinct tokens traded | >= 10 | Not a one-token wonder |
| Max single-trade % of total PnL | < 40% | Not reliant on one lucky hit |
| Bot probability | < 30% | Human-like timing patterns |
Run scripts/evaluate_wallet.py for a comprehensive copy-trade suitability assessment.
Stage 3 — Filtering
After evaluation, apply additional filters:
- Consistency check: rolling 7-day win rate should not swing below 40% in any period
- Style compatibility: understand whether the wallet is a sniper, scalper, or swing trader — your infrastructure must match their speed
- Size compatibility: if they trade 500 SOL per position and you have 10 SOL total, proportional sizing may be too small to cover fees
- Sybil check: use the
sybil-detectionskill to verify the wallet is not part of a wash-trading cluster
Stage 4 — Monitoring
Once a wallet passes evaluation and filtering, set up real-time monitoring.
Monitoring approaches (fastest to simplest):
- Yellowstone gRPC: sub-second latency, streams all transactions for subscribed wallets
- Helius Enhanced WebSocket: near-real-time with parsed transaction data
- Polling via RPC:
getSignaturesForAddressevery 5-10 seconds — simple but slower
See references/execution_strategy.md for implementation details on each approach.
Stage 5 — Execution
When a monitored wallet executes a swap:
- Detect the transaction (via monitoring infrastructure)
- Parse the trade: token address, direction (buy/sell), size
- Validate the token: check liquidity, holder distribution, honeypot risk
- Size the position: proportional to your portfolio, not theirs
- Execute via Jupiter aggregator with appropriate slippage tolerance
- Record the copy trade with attribution to the source wallet
Stage 6 — Risk Management
Copy trades require independent risk controls that do not depend on the copied wallet's behavior.
See references/risk_framework.md for the complete framework.
Key limits:
| Control | Recommended Value | Purpose |
|---|---|---|
| Max allocation per wallet | 10-20% of portfolio | Diversification across signal sources |
| Max concurrent copy positions | 3-5 | Prevent overexposure |
| Per-trade stop loss | -15% to -25% | Independent downside protection |
| Daily copy-trade loss limit | -5% of portfolio | Circuit breaker |
| Weekly copy-trade loss limit | -10% of portfolio | Longer-term circuit breaker |
Show full SKILL.md (494 more words)Show less
Wallet Scoring for Copy Suitability
Composite score from 0-100 based on weighted criteria:
copy_score = (
trade_count_score * 0.15 +
win_rate_score * 0.20 +
profit_factor_score * 0.25 +
consistency_score * 0.20 +
recency_score * 0.10 +
human_probability_score * 0.10
)Component calculations:
- Trade count score:
min(trade_count / 200, 1.0) * 100— maxes out at 200 trades - Win rate score:
max((win_rate - 0.40) / 0.30, 0) * 100— scaled from 40% to 70% - Profit factor score:
min((pf - 1.0) / 3.0, 1.0) * 100— scaled from 1.0 to 4.0 - Consistency score:
(1.0 - std_dev_of_rolling_win_rate) * 100— lower variance = higher score - Recency score:
max(1.0 - days_since_last_trade / 14, 0) * 100— decays over 14 days - Human probability score:
(1.0 - bot_probability) * 100
Interpretation:
| Score | Rating | Action |
|---|---|---|
| 80-100 | Excellent | Strong copy-trade candidate |
| 60-79 | Good | Suitable with monitoring |
| 40-59 | Marginal | Proceed with caution, reduce allocation |
| 0-39 | Poor | Do not copy |
Position Sizing for Copy Trades
Three approaches, from simplest to most nuanced:
Fixed Amount
Use a constant SOL amount per copy trade (e.g., 0.5 SOL). Simple but ignores the wallet's conviction level.
Proportional
Match the copied wallet's allocation as a percentage of their estimated portfolio:
your_size = (their_trade_size / their_estimated_portfolio) * your_portfolioRequires estimating their total portfolio, which can be imprecise.
Confidence-Scaled
Base amount multiplied by your confidence in the wallet:
your_size = base_amount * (copy_score / 100) * conviction_multiplierWhere conviction_multiplier is higher for wallets with longer track records.
Anti-Patterns to Avoid
Copying Bots
Bots have sub-second execution and often use MEV strategies. You cannot match their latency. By the time you detect their trade, the opportunity is gone or you become the exit liquidity. Use the bot probability score to filter these out.
Survivorship Bias
A wallet with 1000% returns from one PumpFun token is not necessarily skilled. Look for wallets with consistent performance across many tokens, not outlier wins. The max-single-trade-PnL filter catches this.
Blind Following
Never copy a trade without understanding what the token is. At minimum, run basic safety checks: liquidity depth, holder concentration, contract verification. A 2-second check can prevent buying a honeypot.
No Independent Exits
The copied wallet may have information you do not have. They may exit for reasons unrelated to the trade. Always maintain your own stop loss. Never rely solely on mirroring their exit.
Correlation Risk
If you copy 5 wallets and they all buy the same token, you have 5x the intended exposure. Track aggregate position across all copy sources and enforce portfolio-level limits.
Ignoring Capacity
A wallet profiting on tokens with $50K daily volume cannot be copied at scale. If your trade is 10% of daily volume, you will move the price against yourself.
Integration with Other Skills
| Skill | How It Integrates |
|---|---|
wallet-profiling | Deep behavioral analysis of candidate wallets |
sybil-detection | Verify wallet is not part of a wash-trading ring |
token-holder-analysis | Safety check tokens before copying a buy |
liquidity-analysis | Verify sufficient liquidity to enter/exit |
helius-api | WebSocket monitoring and transaction parsing |
jupiter-api / jupiter-swap | Trade execution via aggregator |
slippage-modeling | Estimate execution cost of the copy trade |
position-sizing | Portfolio-aware sizing for copy positions |
risk-management | Portfolio-level risk controls |
Files
References
references/wallet_discovery.md— Sources and methods for finding copy-trade candidatesreferences/execution_strategy.md— Monitoring infrastructure and execution approachesreferences/risk_framework.md— Portfolio-level risk controls for copy trading
Scripts
scripts/evaluate_wallet.py— Comprehensive copy-trade suitability scoring for a walletscripts/monitor_wallet.py— Real-time wallet transaction monitoring with trade alerts
© agiprolabs, MIT. 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 5 other files (scripts, references) in skills/copy-trading of agiprolabs/claude-trading-skills.
- SKILL.md
- references/execution_strategy.md
- references/risk_framework.md
- references/wallet_discovery.md
- scripts/evaluate_wallet.py
- scripts/monitor_wallet.py
Open the folder on GitHubat commit 981e1d7
Compare with similar skills
Copy Trading 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 |
|---|---|---|---|---|---|---|
| Copy Trading this skillagiprolabs/claude-trading-skills | 410 | — | ~2.4k | Automated safety check: Pass | MIT | |
| Prismirfndi/prism-liquidity-agent | 124 | — | ~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 | |
| Gmgn PortfolioGMGNAI/gmgn-skills | 609 | — | ~5.8k | Automated safety check: Notes | MIT | |
| Trading Signalbinance/binance-skills-hub | 1.1k | — | ~682 | Automated safety check: Pass | None |
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Questions about Copy Trading
What does Copy Trading do?
Wallet evaluation, monitoring, and copy-trade strategy design for Solana DEX trading. Copy Trading is an agent skill from agiprolabs/claude-trading-skills.
When should I use Copy Trading?
Copy Trading fits situations like: tasks that involve Trading and backtesting.
How do I install Copy Trading in Claude Code?
Run `npx skills add agiprolabs/claude-trading-skills --skill copy-trading -a claude-code`. Or copy the skill folder (skills/copy-trading in agiprolabs/claude-trading-skills) into .claude/skills/copy-trading in your project. Claude Code loads it when a task matches its description.
How do I install Copy Trading in Codex?
Run `npx skills add agiprolabs/claude-trading-skills --skill copy-trading -a codex`. Or copy the skill folder (skills/copy-trading in agiprolabs/claude-trading-skills) into .agents/skills/copy-trading in your project. Codex loads it when a task matches its description.
Can I use Copy Trading 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 agiprolabs/claude-trading-skills --skill copy-trading -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/copy-trading, .gemini/skills/copy-trading, .github/skills/copy-trading and .opencode/skills/copy-trading in your project.
What does Copy Trading need to run?
Going by SKILL.md and its folder, Copy Trading needs Python for the scripts in its folder. Our summary lists: Python 3.
Does Copy Trading access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Copy Trading 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 Copy Trading use?
Copy Trading is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Copy Trading use?
About 2.4k tokens (SKILL.md is roughly 9.6k 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 5.9k tokens, read only when the agent opens those files.
What are the alternatives to Copy Trading?
Skills that share tags, products or a category with Copy Trading: Prism (irfndi/prism-liquidity-agent, 124 stars), Solana Sniper Bot (npc-live/clawfirm, 156 stars), Solana Payments Wallets Trading (npc-live/clawfirm, 156 stars) and Gmgn Portfolio (GMGNAI/gmgn-skills, 609 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Copy Trading?
agiprolabs (a GitHub user) maintains it in agiprolabs/claude-trading-skills, which has 410 GitHub stars. The repository holds 68 skills in this directory. The repository was last updated on September 3, 2026.
Source: agiprolabs/claude-trading-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.