gmgn-heat-rank

gmgn-heat-rank is a skill for Claude Code from GMGNAI/gmgn-skills. It costs 728 tokens per session (15,222 once invoked), scanned A, original, MIT.

A token-screening workflow for GMGN-supported blockchains. It looks across chains and ranks tokens using factors such as liquidity, trading activity, holder concentration, and scam risk.

In plain words
What is it for?
Use it to find tokens that are currently attracting attention and meet the workflow's safety checks.
Why use it?
It narrows a large market to a short list without requiring a wallet address first. It is a screening list, not proof that a token is safe or worth buying.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter.

Part of the gmgn-cli plugin — 15 skills shipped together

Good fit Use it to find tokens that are currently attracting attention and meet the workflow's safety checks.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/gmgnai/gmgn-skills/gmgn-heat-rank
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-heat-rank
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 15 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-heat-rank

README.md
[![agentmods](https://agentmods.dev/badge/skills/gmgnai/gmgn-skills/gmgn-heat-rank/github.svg)](https://agentmods.dev/skills/gmgnai/gmgn-skills/gmgn-heat-rank)
Your own site
<a href="https://agentmods.dev/skills/gmgnai/gmgn-skills/gmgn-heat-rank"><img src="https://agentmods.dev/badge/skills/gmgnai/gmgn-skills/gmgn-heat-rank/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-heat-rank

Your own site · 80×15
<a href="https://agentmods.dev/skills/gmgnai/gmgn-skills/gmgn-heat-rank"><img src="https://agentmods.dev/badge/skills/gmgnai/gmgn-skills/gmgn-heat-rank.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 728 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 15,222 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.
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 $0.00728 $0.15222
Opus 5 $0.00364 $0.07611
Sonnet 5 $0.00146 $0.03044
Haiku 4.5 $0.00073 $0.01522

Measured yesterday against content hash 1819c2361bb4, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

gmgn-heat-rank 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 yesterday.

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.

**IMPORTANT: Always use the pre-installed `gmgn-cli` binary. Never use web search, WebFetch, curl, `npx`, or gmgn.ai — the site requires login and exposes no structured data.**
skills/gmgn-heat-rank/SKILL.md · 634 lines

How it starts

The opening of the file, as written. The whole thing — 634 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. Exit 0 -> proceed. Exit 1 -> run gmgn-cli config, show the output, and once the user sends the API key run gmgn-cli config --apply <KEY> and show that output. If --check is an unknown option, tell the user to run npm install -g gmgn-cli, then retry.

IMPORTANT: Always use the pre-installed gmgn-cli binary. Never use web search, WebFetch, curl, npx, or gmgn.ai — the site requires login and exposes no structured data.

⚠️ IPv6 IS NOT SUPPORTED. On a 401/403 with correct credentials, check ifconfig | grep inet6 (macOS) or ip addr show | grep inet6 (Linux) and fetch https://ipv6.icanhazip.com. If an IPv6 address comes back, tell the user to disable IPv6 — gmgn-cli works over IPv4 only.

What this skill is for, and what it is not

The user's question Goes to
"what is hot and worth looking at" — no address given, wants a chosen list here
"top N by volume / swaps on chain X", "hot coins", "what's pumping", "hot search list" — wants the raw ranking in the exchange's own order gmgn-market trending / market hot-searches
"just launched", "new tokens", bonding-curve stage gmgn-market trenches
one token address + "safe?" / "score it" gmgn-contract-dd
a token by name + "should I buy N dollars of it" gmgn-token-buy
"what is smart money buying" — wallet-side view of the same market gmgn-track smartmoney
chart shape / trend read on one token gmgn-kline-pattern

This skill owns exactly one thing: turning the raw trending feed into a short list somebody can act on. It never executes a trade and never deep-dives a single name — hand the winners to gmgn-contract-dd or gmgn-token-buy if the user wants to go further.

Run

Three steps. Every code block below is run verbatim; only the values in Parameters change.

Step 1 — sweep every chain. 7 chains x 3 windows = 21 calls, paced.

CHAINS=(sol bsc base eth robinhood arc stable)   # narrow to a subset when the user asks; never add a name
# An array, and iterated as "${CHAINS[@]}". A plain string iterated as `for ch in $CHAINS` works under
# bash and silently does not under zsh, which performs no word splitting on an unquoted expansion: the
# loop runs once with every chain name in one variable, and the whole sweep collapses to a single
# refused call. Verified under zsh, bash and bash --posix -- all seven iterations.
# mktemp -d, not a name anyone can guess. The old /tmp/gmgn-heat-data-$(date +%s) was a second-resolution
# timestamp in a world-writable directory, and heat_rank.py is written into it and then executed: another
# local user could pre-create that directory with their own heat_rank.py, and the run would execute theirs.
DATA=$(mktemp -d); cd "$DATA"
for ch in "${CHAINS[@]}"; do
  # A chain name ends up on a command line, so it is checked against the fixed set of names this API
  # has instead of being passed through. A typo, a chain from some other exchange, or a string with
  # spaces or shell metacharacters in it is refused out loud and skipped -- it never becomes arguments
  # to gmgn-cli. Whole names only: a substring test (`case " sol bsc ... " in *" $ch "*`) accepts any
  # run of adjacent names, so `sol bsc` would pass it. Keep this list literal -- reusing $CHAINS here
  # would check the input against itself.
  case $ch in
    sol|bsc|base|eth|robinhood|arc|stable) ;;
    *) echo "refusing unsupported chain name: $ch" >&2; continue;;
  esac
  # Only tags the API actually recognises. An unrecognised tag is not refused -- it is silently
  # ignored, and a filters list containing nothing else turns the server's own default screening
  # OFF, which is worse than sending no filter at all. So the fourth branch sends no --filter and
  # lets those defaults apply; do not invent a tag to fill it. Measured, see `## Known limits`.
  case $ch in
    sol) F=(--filter renounced --filter frozen --filter not_wash_trading);;
    bsc|base|eth) F=(--filter not_honeypot --filter verified --filter renounced);;
    *) F=();;
  esac
  # 24h first, and stop after it when it comes back empty. A candidate has to be present in the
  # 24h window to count at all, so a chain with nothing there cannot produce one whatever its 1h
  # and 6h lists say -- fetching them spends two calls and 2.8s on a guaranteed empty result.
  # Measured on a real sweep: eth, arc and stable were empty in all three windows, so 6 of the 21
  # calls never had a chance. Skipping them changes no listed name. On a day when all seven chains
  # are alive the sweep still costs its full 21 -- this cuts waste, not coverage.
  for iv in 24h 1h 6h; do
    gmgn-cli market trending --chain "$ch" --interval "$iv" --limit 100 \
      --min-marketcap 500000 --min-liquidity 100000 --max-created 7d \
      "${F[@]}" --raw > "${ch}_${iv}.json" 2>"${ch}_${iv}.err"
    sleep 1.4
    if [ "$iv" = 24h ] && ! grep -q '"rank":\[{' "${ch}_24h.json"; then
      echo "no 24h candidate on $ch -- skipping its 1h/6h calls" >&2
      break
    fi
  done
done
echo "$DATA"

Read the full file on GitHub · 634 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. yesterday First seen · 634 lines · 728 tokens per session scan A 1819c2361bb4

Subscribe to this mod's changes

gmgn-heat-rank is a skill published in the GitHub repository GMGNAI/gmgn-skills (522 stars, last pushed yesterday), licensed MIT. It adds 728 tokens to every session and 15,222 once invoked, about $0.0036 per session on Opus 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 2026-09-10.

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