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.
npx skills add GMGNAI/gmgn-skills --skill gmgn-dev-scoregit clone --depth 1 https://github.com/GMGNAI/gmgn-skillsWrote 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.
[](https://agentmods.dev/skills/gmgnai/gmgn-skills/gmgn-dev-score)<a href="https://agentmods.dev/skills/gmgnai/gmgn-skills/gmgn-dev-score"><img src="https://agentmods.dev/badge/skills/gmgnai/gmgn-skills/gmgn-dev-score/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.
<a href="https://agentmods.dev/skills/gmgnai/gmgn-skills/gmgn-dev-score"><img src="https://agentmods.dev/badge/skills/gmgnai/gmgn-skills/gmgn-dev-score.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk fail
- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 117 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00529 | $0.02964 |
| Opus 5 | $0.00264 | $0.01482 |
| Sonnet 5 | $0.00106 | $0.00593 |
| Haiku 4.5 | $0.00053 | $0.00296 |
Grade A, and why
gmgn-dev-score 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 7d 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.
**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.** How it starts
The opening of the file, as written. The whole thing — 127 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.
Run
python3 ~/.claude/skills/gmgn-dev-score/dev_score.py <chain> <dev_address> [max_pages]
max_pages defaults to 25 and only bounds the trade walk; raise it for a dev with hundreds of
launches — the JSON says when it truncated. The script prints one JSON object on stdout (progress
and rate-limit notes go to stderr). It computes; it writes no report. You write the report, from
that object, in the user's language.
Before running:
- Token address, not a wallet? Resolve the creator first with
gmgn-cli token info --chain <c> --address <token> --raw→dev.creator_address, and score that. Say which address you resolved to — it is the one thing the report cannot show, and without it the user cannot check that the score applies to their token. - Chain not given? Probe candidate chains sequentially with
gmgn-cli portfolio created-tokens— never in parallel, which bans the key. Analyse only the chain with the highestopen_count, and tell the user the other chains were deferred until asked. scored: falsemeans do not produce a score.reason: index_empty→ the API reads entirely empty and an empty wallet cannot be told from a degraded index; say both readings and tell the user to re-check in a few minutes. Any otherreason→ say the address was not scored and why, and stop.
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 7d ago First seen · 127 lines · 529 tokens per session scan A 9f557e3701a9
gmgn-dev-score is a skill published in the GitHub repository GMGNAI/gmgn-skills (521 stars, last pushed today), licensed MIT. It adds 529 tokens to every session and 2,964 once invoked, about $0.0026 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 2026-09-03.
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