AF web3-dev
Build web3 applications, scripts, CLIs, bots, mobile apps, and desktop apps that need blockchain data via the Blockscout PRO API — a single HTTP API spanning 100+ EVM chains. Invoke this skill whenever the user wants to read blockchain data over HTTP (transactions, blocks, addresses, tokens, NFTs, logs, contract context, internal txs, account abstraction, etc.) and is building software that calls an API directly. Trigger on direct mentions of `Blockscout PRO API`, `pro-api`, `proapi_`, `Blockscout API`, `block explorer API`, `api.blockscout.com`, or on broader phrasing like "build a web3 app", "index/query on-chain data", "wallet history", "NFT inventory", "transaction logs across chains", "how much does the Blockscout API cost", "chain IDs supported by Blockscout". Use this skill for direct HTTP integrations; the sibling `blockscout-analysis` skill covers the Blockscout MCP Server.
As a process F 49/100 · Will not run — References files that are not bundled: references/pro-api.json
How to improve
- The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
- The text references files that are not there: add them or drop the references.
- 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
- warning
body-longSKILL.md body ≈ 7379 tokens (recommended < 5000); move details to references/ - warning
missing-refreference to a missing file: references/pro-api.json
Process rating: all ten parameters 49/100
- 0Tools and files. 1 referenced file(s) missing: references/pro-api.json
- 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. 13 mutating operations with no state check
- 70When it triggers. States when to use, but not when not to
- 70Execution cost. Instruction body is 7379 tokens
- 100Steps. 68 steps
- 100Failures and branches. 8 branches, has a failure section
- 100Consistency. Name and required fields are in place
- 100Progress reporting. Reports progress
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
- low 14 top-level sections: this looks like several domains in one skill
- low The response is described with custom markup (4 tags): a typed call is more reliable
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
- +4Description does not say when NOT to use the skill (false activations)
- +3Description length 895: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- +2Single-language instructions
- +5Description quotes 7 example trigger phrases
- +4Structure: 25 headings
- +3Step-by-step instructions: 68 items
- +4Has examples (13 code blocks)
- +4Reference files are cited in the instructions (1 of 1)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.