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BC bankr

AI-powered crypto trading agent and LLM gateway via natural language. Use when the user wants to trade crypto, check portfolio balances, view token prices, transfer crypto, manage NFTs, use leverage, bet on Polymarket, deploy tokens, set up automated trading, sign and submit raw transactions, or access LLM models through the Bankr LLM gateway funded by your Bankr wallet. Supports Base, Ethereum, Polygon, Solana, and Unichain.

ClawHub Agent Skills author: take it v0.1.0 17 files body ≈ 6 877 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process C 55/100 · Has gaps — weak spots: result and completion, inputs and preconditions, consistency

IntegrationAI and agentsInfrastructuretype 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
88/100
safety, quality, tests
Safety 60%
94
Quality 40%
78
Run on models
none yet
Process rating
C
55/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Consistency w 8
40
the three weakest of ten parameters · all ten

The same skill appears in 1 more place: ClawHub

How to improve

  1. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
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 · 6

✓ No critical or high findings

Medium and low: 6
  • low Exfiltration net-credential-use references/error-handling.md:198
    Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host)
    curl -s "https://api.bankr.bot/_health" -H "X-API-Key: $BANKR_API_KEY"
    vendor-host
  • low Secrets in code secret-high-entropy-token references/sign-submit-api.md:53
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "verifyingContract": "0x83…913"
    quoted
  • low Secrets in code secret-high-entropy-token references/sign-submit-api.md:85
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "to": "0x83…913",
    quoted
  • low Secrets in code secret-high-entropy-token references/sign-submit-api.md:181
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "to": "0x83…913",
    quoted
  • low Secrets in code secret-high-entropy-token references/transfers.md:36
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    - "Send 0.5 ETH to 0x74…bEb"
    quoted
  • low Exfiltration net-credential-use SKILL.md:805
    Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host)
    curl -s "https://api.bankr.bot/_health" -H "X-API-Key: $BANKR_API_KEY"
    vendor-host

Files scanned: 17. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 6877 tokens (recommended < 5000); move details to references/

Process rating: all ten parameters 55/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 40Consistency. Frontmatter name (bankr) differs from the folder (bankr-2)
  • 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
  • 70When it triggers. States when to use, but not when not to
  • 70Execution cost. Instruction body is 6877 tokens
  • 85Steps. 172 steps, 3 vague phrases
  • 100Failures and branches. 5 branches, has a failure section
  • 100Running it twice. Mutating operations check current state
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 17 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (17 tags): a typed call is more reliable

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)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +3Description length 429: enough signal without eating the budget
  • +4Structure: 75 headings
  • +3Step-by-step instructions: 172 items
  • +4Has examples (25 code blocks)
  • +4Reference files are cited in the instructions (15 of 15)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 78.

External checks

ClawHub: suspicious
This is a disclosed crypto trading skill, but it can move funds, place bets, deploy tokens, and submit raw blockchain transactions, so it needs careful review before use.
LLM: suspicious (high) · VirusTotal: suspicious · 28 May 2026