BC bridge-cost-optimizer
Cross-chain bridge cost and time comparator for AI agents. Pulls live bridge quotes from Across, Stargate, Hop, Connext, Wormhole, and deBridge — returns the cheapest route (USD + time + hops) for a token transfer between any two EVM or non-EVM chains. No API key required for the public read endpoints. Use for: bridge comparison, cross-chain transfer, layer-bridge routing, base to arb, arb to op, eth to base, polygon bridge, USDC bridge, USDT bridge, gas-aware bridging, bridge aggregator, l2 bridge router, defi cross-chain, zk-bridge.
Cross-chain bridge cost and time comparator for AI agents.
As a process C 56/100 · Has gaps — 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 · 4
✓ No critical or high findings
Medium and low: 4
-
low Secrets in code
secret-high-entropy-tokenscripts/bridge_optimizer.py:34High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)"USDC": "0xA0…B48",
quoted -
low Secrets in code
secret-high-entropy-tokenscripts/bridge_optimizer.py:35High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)"USDT": "0xdA…ec7",
quoted -
low Secrets in code
secret-high-entropy-tokenscripts/bridge_optimizer.py:36High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)"DAI": "0x6B…d0F",
quoted -
low Secrets in code
secret-high-entropy-tokenscripts/bridge_optimizer.py:38High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)"WETH": "0xC0…Cc2",
quoted
Files scanned: 4. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
frontmatter-yamlSKILL.md: the frontmatter is not valid YAML (YAML parse error: Nested mappings are not allowed in compact mappings at line 2, column 14: description: Cross-chain bridge cost and time comparator for AI agents. Pulls l… ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value
Process rating: all ten parameters 56/100
- 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
- 100Tools and files. No external tools needed
- 100Steps. 12 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 526 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 540: enough signal without eating the budget
- +4Structure: 7 headings
- +3Step-by-step instructions: 12 items
- +4Has examples (2 code blocks)
- +3All 1 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.