SKILLEMALL.ai

AC skill-radar

多源技能扫描雷达 — 从 skills.sh、GitHub 和本地聚合搜索技能,语义理解 + 关键词优化,带质量验证和风险提示。当用户说"找个 xxx 技能""有没有 xxx 的 skill""find a skill for X"时触发,或 Agent 遇到不熟悉任务、缺少合适工具时主动调用。

ClawHub Agent Skills author: Andy Tien v1.0.0 MIT-0 3 files body ≈ 876 tokens Open the sourceclawhub.ai analyzed 20 h ago

多源技能扫描雷达 — 从 skills.sh、GitHub 和本地聚合搜索技能,语义理解 + 关键词优化,带质量验证和风险提示。当用户说"找个 xxx 技能""有没有 xxx 的 skill""find a skill for X"时触发,或 Agent 遇到不熟悉任务、缺少合适工具时主动调用。

As a process C 51/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureGitHubResearchtype and topics are labelled automatically from the skill text
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
79
Run on models
none yet
Process rating
C
51/100
Has gaps
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: 3. 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")
  • note frontmatter-key unknown frontmatter key "trigger"
  • note frontmatter-key unknown frontmatter key "auto"
  • note frontmatter-key unknown frontmatter key "priority"

Process rating: all ten parameters 51/100

  • 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
  • 30Running it twice. 5 mutating operations with no state check
  • 100Tools and files. No external tools needed
  • 100Steps. 25 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 876 tokens

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)
  • +3Output format is not stated: the model decides each time
  • +2Single-language instructions
  • +5Description quotes 3 example trigger phrases
  • +3Description length 148: enough signal without eating the budget
  • +4Structure: 14 headings
  • +3Step-by-step instructions: 25 items
  • +4Has examples (5 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: 79.

External checks

ClawHub: suspicious
This skill is a coherent skill-search helper, but it can proactively search external sources and guide global installation of third-party skills that affect agent behavior.
LLM: suspicious (high) · VirusTotal: · 26 Jul 2026