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BC tator-trader

Execute crypto trades using natural language via Tator's AI trading API. Use when: buying tokens, selling tokens, swapping, bridging cross-chain, sending tokens, wrapping/unwrapping ETH, opening perp positions, betting on prediction markets, launching tokens, registering blockchain names, or managing yield positions. Triggers: 'buy token', 'sell token', 'swap X for Y', 'bridge to', 'send tokens', 'open long', 'open short', 'bet on', 'launch token', 'register name', 'deposit yield', 'wrap ETH'. Supports 24 chains. Returns UNSIGNED transactions — you sign and broadcast. Costs $0.20 USDC per request via x402. Recommended wallet integration: Sponge (SPONGE_API_KEY) or AgentWallet (AGENTWALLET_API_TOKEN) — no raw private keys needed. This skill is a transaction builder and never accesses your private keys or tokens.

modbender/skill-library-mcp Agent Skills author: modbender MIT 3 files body ≈ 3 030 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Execute crypto trades using natural language via Tator's AI trading API.

As a process C 52/100 · Has gaps — weak spots: result and completion, inputs and preconditions, running it twice

IntegrationAI and agentstype 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%
90
Quality 40%
85
Run on models
none yet
Process rating
C
52/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

    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 · 10

    ✓ No critical or high findings

    Medium and low: 10
    • low Secrets in code secret-high-entropy-token references/chains.md:42
      High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
      | Base | `eip155:8453` | USDC | `0x83…913` |
      table
    • low Secrets in code secret-high-entropy-token references/chains.md:43
      High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
      | Ethereum | `eip155:1` | USDC | `0xA0…B48` |
      table
    • low Secrets in code secret-high-entropy-token references/chains.md:44
      High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
      | Arbitrum | `eip1…161` | USDC | `0xaf…831` |
      table
    • low Secrets in code secret-high-entropy-token references/chains.md:45
      High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
      | Optimism | `eip155:10` | USDC | `0x0b…f85` |
      table
    • low Secrets in code secret-high-entropy-token references/chains.md:46
      High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
      | Polygon | `eip155:137` | USDC | `0x3c…359` |
      table
    • low Secrets in code secret-high-entropy-token references/REFERENCE.md:19
      High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
      | Base | `eip155:8453` | USDC | `0x83…913` |
      table
    • low Secrets in code secret-high-entropy-token references/REFERENCE.md:20
      High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
      | Ethereum | `eip155:1` | USDC | `0xA0…B48` |
      table
    • low Secrets in code secret-high-entropy-token references/REFERENCE.md:21
      High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
      | Arbitrum | `eip1…161` | USDC | `0xaf…831` |
      table
    • low Secrets in code secret-high-entropy-token references/REFERENCE.md:22
      High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
      | Optimism | `eip155:10` | USDC | `0x0b…f85` |
      table
    • low Secrets in code secret-high-entropy-token references/REFERENCE.md:23
      High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
      | Polygon | `eip155:137` | USDC | `0x3c…359` |
      table

    Files scanned: 3. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 52/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 5 mutating operations with no state check
    • 50When it triggers. No condition that starts the skill
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (web) that frontmatter does not declare
    • 100Steps. 16 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 3030 tokens
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
    • low 16 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)
    • +3Description length 822: 120–800 characters recommended
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +4Structure: 22 headings
    • +3Step-by-step instructions: 16 items
    • +4Has examples (8 code blocks)
    • +4Reference files are cited in the instructions (2 of 2)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 85.