AC aerodrome
Use when creating, validating, backtesting, deploying, sizing, or troubleshooting Aerodrome/Base spot trading strategies through the Superior Trade API, especially Freqtrade configs using exchange.name "aerodrome", AERO/USDC or CHECK/USDC pairs, AMM market swaps, wallet/gas balance checks, no-orderbook pricing, or Aerodrome live deployment safety.
Use when creating, validating, backtesting, deploying, sizing, or troubleshooting Aerodrome/Base spot trading strategies through the Superior Trade API…
As a process C 57/100 · Has gaps — weak spots: result and completion, inputs and preconditions, running it twice
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 · 5
✓ No critical or high findings
Medium and low: 5
-
low Secrets in code
secret-high-entropy-tokenSKILL.md:61High-entropy token-like string (may be an id, hash or a credential) (documentation table row)| `AERO/USDC` | `0x94…631` | 18 | `0x83…913` | 6 | `0x6c…71d` | false |
table -
low Secrets in code
secret-high-entropy-tokenSKILL.md:62High-entropy token-like string (may be an id, hash or a credential) (documentation table row)| `CHECK/USDC` | `0x91…6Eb` | 18 | `0x83…913` | 6 | `0x6a…E0f` | false |
table -
low Secrets in code
secret-high-entropy-tokenSKILL.md:81High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)"baseAddress": "0x94…631",
quoted -
low Secrets in code
secret-high-entropy-tokenSKILL.md:90High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)"baseAddress": "0x91…6Eb",
quoted -
low Secrets in code
secret-high-entropy-tokenSKILL.md:94High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)"poolAddress": "0x6a…E0f",
quoted
Files scanned: 2. 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 57/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 30Running it twice. 22 mutating operations with no state check
- 50When it triggers. No condition that starts the skill
- 60Tools and files. Uses tools (web) that frontmatter does not declare
- 70Execution cost. Instruction body is 4203 tokens
- 100Steps. 60 steps
- 100Failures and branches. 1 branches, has a failure section
- 100Consistency. Name and required fields are in place
- 100Progress reporting. Reports progress
- low 11 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)
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +3Description length 349: enough signal without eating the budget
- +4Structure: 15 headings
- +3Step-by-step instructions: 60 items
- +4Has examples (13 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.