SKILLEMALL.ai

AA fetch-solana-logs

Auto-fetch Solana address/program transactions and optionally decode Anchor IDL instructions. Trigger whenever the user asks to get/pull/fetch/sync Solana txs, program logs, instruction data, 交易, 交易日志, or gives a base58 Solana address and wants its txs — e.g.「帮我获取这个 Solana 地址的 tx」「拉一下这个 program 的交易」 「fetch txs for <addr>」. Agent must write the address into target_solana_addr.json and immediately run s1/s2 (scaffold project if missing). Pull + parse only.

ClawHub Agent Skills author: lkkchen v1.0.0 MIT-0 16 files · 1 script body ≈ 1 403 tokens Open the sourceclawhub.ai analyzed 2 d ago

Auto-fetch Solana address/program transactions and optionally decode Anchor IDL instructions.

As a process A 80/100 · Runs to the end — weak spots: inputs and preconditions

GeneratorAI and agentsData and analyticstype 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
A
80/100
Runs to the end
Inputs and preconditions w 11
30
Tools and files w 18
60
Result and completion w 14
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 80/100

    • 30Inputs and preconditions. Does not say what the process needs to start
    • 60Tools and files. Uses tools (bash, web, node) that frontmatter does not declare
    • 60Result and completion. Output format stated, no completion criterion
    • 100Steps. 25 steps
    • 100When it triggers. States when to use and when not to
    • 100Failures and branches. 4 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1403 tokens
    • 100Running it twice. Mutating operations check current state
    • 100Progress reporting. Reports progress

    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 458: enough signal without eating the budget
    • +4Structure: 15 headings
    • +3Step-by-step instructions: 25 items
    • +3Output format is stated explicitly
    • +4Has examples (10 code blocks)
    • +3All 2 scripts are documented

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

    External checks

    ClawHub: suspicious
    The skill does what it claims, but it automatically creates projects, installs packages, stores API keys, and contacts third-party Solana services with too little user confirmation.
    LLM: suspicious (high) · VirusTotal: · 20 Jul 2026