SKILLEMALL.ai

AC lobster-radio

个性化资讯电台生成服务。使用场景:(1) 生成特定主题的电台,(2) 设置每日定时推送,(3) 配置TTS音色,(4) 收听历史电台。不适用:音乐播放、实时广播、视频内容。

ClawHub Agent Skills author: 坤涛/kunTao v0.1.0 MIT-0 38 files · 2 scripts body ≈ 1 312 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process C 58/100 · Has gaps — weak spots: result and completion, consistency, progress reporting

ProcedureGitHubSoftware developmentAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
80
Run on models
none yet
Process rating
C
58/100
Has gaps
Result and completion w 14
0
Progress reporting w 2
0
Consistency w 8
40
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: 36. 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 58/100

    • 0Result and completion. Does not say what the result is
    • 0Progress reporting. Says nothing while it works
    • 40Consistency. Frontmatter name (lobster-radio) differs from the folder (lobster-radio-skill)
    • 50When it triggers. No condition that starts the skill
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (bash, python) that frontmatter does not declare
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Steps. 59 steps
    • 100Execution cost. Instruction body is 1312 tokens
    • 100Running it twice. No mutating operations
    • low 14 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
    • +3Description length 86: 120–800 characters recommended
    • +3Output format is not stated: the model decides each time
    • -212 emoji in the instructions: noise for the model
    • -33 of 4 scripts are never mentioned in SKILL.md
    • +1No license
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +4Structure: 37 headings
    • +3Step-by-step instructions: 59 items
    • +4Has examples (14 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 80.

    External checks

    ClawHub: suspicious
    This looks like a real local TTS/news-radio skill, but it needs Review because its local/offline privacy claims conflict with networked model downloads, platform search/LLM use, and persistent OpenClaw automation.
    LLM: suspicious (high) · VirusTotal: · 29 May 2026