SKILLEMALL.ai

CD podcast-radar-cn

中文播客数据工具包。用于播客发现、竞品分析、订阅追踪、创作机会评估。 触发场景: · 发现热门/新锐播客或单集 · 分析某个分类的竞争格局 · 追踪播客订阅量变化趋势 · 评估播客创作方向的机会 · 生成完整的播客创作机会报告 · 对标学习头部播客案例 · 话题热度趋势监控

ClawHub Agent Skills author: 马腾 v1.0.0 MIT-0 17 files · 9 scripts body ≈ 1 736 tokens Open the sourceclawhub.ai↗ analyzed 7 d ago

中文播客数据工具包。用于播客发现、竞品分析、订阅追踪、创作机会评估。 触发场景: · 发现热门/新锐播客或单集 · 分析某个分类的竞争格局 · 追踪播客订阅量变化趋势 · 评估播客创作方向的机会 · 生成完整的播客创作机会报告 · 对标学习头部播客案例 · 话题热度趋势监控

As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationMedia and videotype and topics are labelled automatically from the skill text
JSON
Technical rating
C
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
73
Run on models
none yet
Process rating
D
49/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
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: 17. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 49/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 40Consistency. Frontmatter name (podcast-radar-cn) differs from the folder (xyz-podcast-radar-cn)
  • 100Tools and files. No external tools needed
  • 100Steps. 25 steps
  • 100Execution cost. Instruction body is 1736 tokens
  • 100Running it twice. No mutating operations
  • 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
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • -32 of 9 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 137: enough signal without eating the budget
  • +4Structure: 31 headings
  • +3Step-by-step instructions: 25 items
  • +4Has examples (16 code blocks)
  • +4Reference files are cited in the instructions (3 of 3)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.

External checks

ClawHub: suspicious
The skill is mostly a coherent Chinese podcast analytics tool, but it needs Review because one enrichment script can fetch arbitrary URLs and one tracking workflow stores invented history as if it were observed data.
LLM: suspicious (high) · VirusTotal: · 16 Sept 2026