AD graph-uniswap
Simulate a Uniswap swap before making it — amount out, effective price, price impact — computed offline from The Graph with the protocol's own concentrated-liquidity math. Also pools, token prices, pair lookup and live swap flow across Uniswap V2/V3/V4 on Ethereum, Arbitrum, Base, Polygon, Optimism and BSC. Trigger keywords: uniswap, swap, quote, price impact, slippage, how much would I get, pool, liquidity, fee tier, LP, DEX, token price, V3, V4.
Simulate a Uniswap swap before making it — amount out, effective price, price impact — computed offline from The Graph with the protocol's own…
As a process D 48/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
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 · 0
✓ No critical or high findings
Files scanned: 3. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- note
frontmatter-keyunknown frontmatter key "homepage"
Process rating: all ten parameters 48/100
- 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
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 1 mutating operations with no state check
- 50Failures and branches. 0 branches, has a failure section
- 60Tools and files. Uses tools (bash) that frontmatter does not declare
- 100Steps. 7 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 801 tokens
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 451: enough signal without eating the budget
- +4Structure: 6 headings
- +3Step-by-step instructions: 7 items
- +4Has examples (1 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 83.