AB polymarket-copytrading
Mirror high-performing whale wallets on Polymarket. Monitors configured wallet addresses for recent trades above a size threshold and copies them automatically. Runs on Simmer with context safeguards, flip-flop detection, and slippage checks. Use when the user wants to copytrade whales, mirror wallets, follow smart money, or automate position copying on prediction markets.
As a process B 66/100 · Nearly there — weak spots: result and completion, consistency, progress reporting
How to improve
- 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 · 3
✓ No critical or high findings
Medium and low: 3
-
low Secrets in code
secret-high-entropy-tokencopytrading.py:72High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)"0x4f…0e9", # Known high-volume trader
quoted -
low Secrets in code
secret-high-entropy-tokencopytrading.py:73High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)"0x91…6d2", # Known high-volume trader
quoted -
low Secrets in code
secret-high-entropy-tokencopytrading.py:74High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)"0xfE…2d1", # Known high-volume trader
quoted
Files scanned: 4. 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 66/100
- 0Result and completion. Does not say what the result is
- 0Progress reporting. Says nothing while it works
- 40Consistency. Frontmatter name (polymarket-copytrading) differs from the folder (polymarket-whale-copytrade)
- 55Failures and branches. 1 branches
- 70When it triggers. States when to use, but not when not to
- 70Inputs and preconditions. Inputs and preconditions are listed
- 85Steps. 38 steps, 1 vague phrases
- 100Tools and files. No external tools needed
- 100Execution cost. Instruction body is 1233 tokens
- 100Running it twice. No mutating operations
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
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 375: enough signal without eating the budget
- +4Structure: 9 headings
- +3Step-by-step instructions: 38 items
- +4Has examples (3 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.