gmgn-wallet-review

gmgn-wallet-review is a skill for Claude Code from GMGNAI/gmgn-skills. It costs 326 tokens per session (10,587 once invoked), scanned A, original, MIT.

A wallet-trading report for one cryptocurrency address, covering Solana and eight Ethereum-compatible networks over selected time periods. It assigns a trading-style label, summarizes results, and gives next-step advice.

In plain words
What is it for?
Use it to review your own wallet or another trader's wallet, compare one-day, seven-day, 30-day, or all-time results, and identify patterns such as fast trades, fees, or losing holding periods.
Why use it?
It turns transaction history into a short, consistent explanation of how the wallet trades and where it performs poorly. This avoids manually reviewing many trades.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter. Also seen: positional $N argument.

Part of the gmgn-cli plugin — 19 skills shipped together

Good fit Use it to review your own wallet or another trader's wallet, compare one-day, seven-day, 30-day, or all-time results, and identify patterns such as fast trades, fees, or losing holding periods.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/gmgnai/gmgn-skills/gmgn-wallet-review
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add GMGNAI/gmgn-skills --skill gmgn-wallet-review
Clone the repo
git clone --depth 1 https://github.com/GMGNAI/gmgn-skills

Made for: Claude Code.

Or install gmgn-cli, the plugin that ships this one along with the rest of its 19 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for gmgn-wallet-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/gmgnai/gmgn-skills/gmgn-wallet-review/github.svg)](https://agentmods.dev/skills/gmgnai/gmgn-skills/gmgn-wallet-review)
Your own site
<a href="https://agentmods.dev/skills/gmgnai/gmgn-skills/gmgn-wallet-review"><img src="https://agentmods.dev/badge/skills/gmgnai/gmgn-skills/gmgn-wallet-review/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for gmgn-wallet-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/gmgnai/gmgn-skills/gmgn-wallet-review"><img src="https://agentmods.dev/badge/skills/gmgnai/gmgn-skills/gmgn-wallet-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 326 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 10,587 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • Socket pass 15 Oct 2026
  • Snyk warn 15 Oct 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00326 $0.10587
Opus 5.5 $0.00130 $0.04235
Sonnet 5.5 $0.00065 $0.02117
Haiku 4.5 $0.00033 $0.01059

Measured 6d ago against content hash 2ef53ec5bba0, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

gmgn-wallet-review scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

**Always use `gmgn-cli` for data. Never WebFetch, curl, or browse gmgn.ai — the wallet page needs login and renders dynamically.**
skills/gmgn-wallet-review/SKILL.md · 509 lines

How it starts

The opening of the file, as written. The whole thing — 509 lines — stays where its author put it; the contents beside it link to each section on GitHub.

BEFORE RUNNING ANY COMMAND: Run gmgn-cli config --check. If exit code is 0, proceed. If 1, run gmgn-cli config, show the output, and once the user sends the key run gmgn-cli config --apply <KEY>. If the option is unknown, tell the user to run npm install -g gmgn-cli.

Always use gmgn-cli for data. Never WebFetch, curl, or browse gmgn.ai — the wallet page needs login and renders dynamically.

This skill is a single file on purpose: there is no bundled script. You pull the data with gmgn-cli, compute the numbers below yourself (a throwaway jq or python3 -c over the saved responses is fine and usually more accurate than reading 300 rows by eye), apply the rules, and fill the fixed sentence templates. Follow the rules and templates exactly — they are what makes two runs on the same wallet say the same thing.

What this skill produces

Three lines, nothing more:

⚙️ 全自动P机 · ⚡ 秒杀流  (7D)
一句话复盘:你近 7 天赚了 $41.9K,止损干脆,但手续费吃掉了 78% 的利润。
下一步:少做持仓不到 1 分钟的单子(这部分在亏钱),持仓 1–30 分钟的单子收益率有 17%。
  • Tag: one title from the closed 20-cell grid plus a speed subtitle. No badges.
  • 一句话复盘: how much it made or lost in the period, the single best strength, the single biggest problem.
  • 下一步 (own wallet) / 参考建议 (someone else's): the single most actionable fix.

This shape is deliberate. It is designed for a small slot on an already number-heavy wallet page, where dense columns, badge rows, KPI lines or a detail popover read as noise next to the page's own numbers. Evaluate every rule, but let only the top strength, the top problem and the top fix reach the output. Don't add lines, badges or numbers unless the user asks.

Step 0 — Validate the input before any command

The address and chain go straight into shell commands, so check them first. Never "fix up" a string to make it pass.

  • Chain must be one of sol bsc base eth arbitrum hyperevm robinhood arc stable. A base58 address is sol. A 0x… address could be on any of the eight EVM chains: if the user named one, use it; otherwise find it with the probe in Step 0a.
  • Address: EVM must match ^0x[0-9a-fA-F]{40}$. Solana must match ^[1-9A-HJ-NP-Za-km-z]{32,44}$. Anything else (spaces, quotes, ;, $, a leading -) → say it isn't a valid wallet address and stop.
  • 「CA」/「合约」/「代币」/ "token" / "contract" in the message → the user probably means a token. Ask which they want before running.
  • Several addresses and no indication which → ask. Only a name or symbol → ask for the address.
  • Pass the validated address as its own argument, and quote it in the shell.

Read the full file on GitHub · 509 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 6d ago Changed · +1 lines 2ef53ec5bba0
  2. 23d ago First seen · 508 lines · 326 tokens per session scan A 5a5bdb4dfb9d

Subscribe to this mod's changes

gmgn-wallet-review is a skill published in the GitHub repository GMGNAI/gmgn-skills (623 stars, last pushed yesterday), licensed MIT. It adds 326 tokens to every session and 10,587 once invoked, about $0.0013 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-29.

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