SKILLEMALL.ai

AB fetch-evm-logs

Scaffold and fetch event logs from any EVM smart contract via RPC (eth_getLogs + ABI parse). Works on any EVM-compatible chain/contract (Ethereum, L2s, custom chains) given chainId + address + RPC. Trigger when the user asks to get, pull, fetch, sync, or download contract event logs / 合约日志 / 事件日志 / eth_getLogs — e.g.「帮我获取某个 EVM 合约的日志」 「帮我拉取智能合约的日志」「fetch logs for this contract」「get Transfer events from 0x…」. Also when they give chainId + contractAddress and want on-chain events. Discovers ABI from public sources or accepts user-provided ABI, lists events, asks which to fetch, then runs s1/s2. Pull + parse only — not for stats/analytics (use evm-log-stats).

ClawHub Agent Skills author: lkkchen v1.0.0 MIT-0 20 files · 2 scripts body ≈ 1 416 tokens Open the sourceclawhub.ai analyzed 2 d ago

Scaffold and fetch event logs from any EVM smart contract via RPC (ethgetLogs + ABI parse).

As a process B 71/100 · Nearly there — weak spots: inputs and preconditions, running it twice

TemplateData and analyticsInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
98/100
safety, quality, tests
Safety 60%
100
Quality 40%
94
Run on models
none yet
Process rating
B
71/100
Nearly there
Inputs and preconditions w 11
0
Running it twice w 4
30
Tools and files w 18
60
the three weakest of ten parameters · all ten

How to improve

    For the model run — optional
    • 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: 0. 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 71/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 30Running it twice. 1 mutating operations with no state check
    • 60Tools and files. Uses tools (web) that frontmatter does not declare
    • 60Result and completion. Output format stated, no completion criterion
    • 85Steps. 19 steps, 1 vague phrases
    • 100When it triggers. States when to use and when not to
    • 100Failures and branches. 1 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1416 tokens
    • 100Progress reporting. Reports progress
    • low 10 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
    • +1No license
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +3Description length 664: enough signal without eating the budget
    • +4Structure: 16 headings
    • +3Step-by-step instructions: 19 items
    • +3Output format is stated explicitly
    • +4Has examples (11 code blocks)
    • +3All 3 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 94.

    External checks

    ClawHub: clean
    This skill coherently scaffolds a local tool for fetching and parsing EVM contract logs, with network and file access that match that purpose.
    LLM: benign (high) · VirusTotal: · 20 Jul 2026