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BF gmgn-token

Research any crypto or meme token by address — real-time price, market cap, liquidity, holder list, trader list, top Smart Money and KOL positions, security audit (honeypot, rug pull risk, dev wallet, renounced status), social links (Twitter/X, website) via GMGN API on Solana, BSC, Base, or Ethereum. Use when user asks about a token's price, safety, holders, traders, smart money exposure, or wants due diligence before buying.

ClawHub Agent Skills author: GMGN.AI v1.4.6 MIT-0 2 files body ≈ 9 702 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 61/100 · Will not run — References files that are not bundled: ../../docs/workflow-token-research.md, ../../docs/workflow-project-deep-report.md, ../../docs/workflow-risk-warning.md

IntegrationInfrastructuretype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
B
83/100
safety, quality, tests
Safety 60%
95
Quality 40%
65
Run on models
none yet
Process rating
F
61/100
Will not run
References files that are not bundled: ../../docs/workflow-token-research.md, ../../docs/workflow-project-deep-report.md, ../../docs/workflow-risk-warning.md
Tools and files w 18
0
Running it twice w 4
30
Execution cost w 6
40
the three weakest of ten parameters · all ten

How to improve

  1. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
  2. The text references files that are not there: add them or drop the references.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 5

✓ No critical or high findings

Medium and low: 5
  • low Secrets in code secret-high-entropy-token SKILL.md:496
    High-entropy token-like string (may be an id, hash or a credential)
    gmgn-cli token info --chain sol --address EPjF…t1v
  • low Secrets in code secret-high-entropy-token SKILL.md:499
    High-entropy token-like string (may be an id, hash or a credential)
    gmgn-cli token info --chain bsc --address 0x21…3F8
  • low Secrets in code secret-high-entropy-token SKILL.md:505
    High-entropy token-like string (may be an id, hash or a credential)
    gmgn-cli token info --chain eth --address 0xC0…Cc2
  • low Secrets in code secret-high-entropy-token SKILL.md:508
    High-entropy token-like string (may be an id, hash or a credential)
    gmgn-cli token info --chain sol --address EPjF…t1v --raw
  • low Secrets in code secret-high-entropy-token SKILL.md:515
    High-entropy token-like string (may be an id, hash or a credential)
    gmgn-cli token security --chain sol --address EPjF…t1v

Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 9702 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: ../../docs/workflow-token-research.md
  • warning missing-ref reference to a missing file: ../../docs/workflow-project-deep-report.md
  • warning missing-ref reference to a missing file: ../../docs/workflow-risk-warning.md

Process rating: all ten parameters 61/100

Will not run. References files that are not bundled: ../../docs/workflow-token-research.md, ../../docs/workflow-project-deep-report.md, ../../docs/workflow-risk-warning.md
  • 0Tools and files. 3 referenced file(s) missing: ../../docs/workflow-token-research.md, ../../docs/workflow-project-deep-report.md, ../../docs/workflow-risk-warning.md
  • 30Running it twice. 10 mutating operations with no state check
  • 40Execution cost. Instruction body is 9702 tokens: crowds the task out of the window
  • 50When it triggers. No condition that starts the skill
  • 60Result and completion. Output format stated, no completion criterion
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 33 steps
  • 100Failures and branches. 7 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Progress reporting. Reports progress
  • low 13 top-level sections: this looks like several domains in one skill

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +1No license
  • +2Single-language instructions
  • +3Description length 429: enough signal without eating the budget
  • +4Structure: 29 headings
  • +3Step-by-step instructions: 33 items
  • +3Output format is stated explicitly
  • +4Has examples (10 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 65.

External checks

ClawHub: clean
The skill is coherent for GMGN API-based crypto wallet analysis, but users should be aware it stores a GMGN API key locally and includes conditional network troubleshooting.
LLM: benign (high) · VirusTotal: · 18 Jun 2026