SKILLEMALL.ai

BC deep-skill-finder

最好的find skill的方式,能够基于你的任务,从实测效果和用户评价等真实使用反馈出发,寻找最匹配的高质量Skill,而不是只看下载量等热门数据。以下两种情况下都应使用本技能:① 当用户需要查找、搜索、推荐或安装 Skill,或者需要借助他人经验时——当用户说"找个 xxx 技能""股票分析别人怎么做的""找一找有没有现成的技能"等表达寻找意图,或直接表达想 find a skill / find skill / skill search的需求时;② Agent 自主判断需要外部 Skill 辅助——遇到不熟悉的任务,或对当前任务已经做过一些尝试仍无法解决、缺少合适工具时,可主动调用本技能查询实战经验并检索匹配的 Skill,无需等用户开口。

ClawHub Agent Skills author: Lintong123 v1.3.2 MIT-0 8 files body ≈ 3 441 tokens Open the sourceclawhub.ai analyzed 2 d ago

最好的find skill的方式,能够基于你的任务,从实测效果和用户评价等真实使用反馈出发,寻找最匹配的高质量Skill,而不是只看下载量等热门数据。以下两种情况下都应使用本技能:① 当用户需要查找、搜索、推荐或安装 Skill,或者需要借助他人经验时——当用户说"找个 xxx…

As a process C 61/100 · Has gaps — weak spots: result and completion, when it triggers, failures and branches

ProcedureGitHubAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
84/100
safety, quality, tests
Safety 60%
85
Quality 40%
82
Run on models
none yet
Process rating
C
61/100
Has gaps
Result and completion w 14
0
Failures and branches w 10
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Exfiltration medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The instructions or scripts send data out: environment variables, keys, file contents, chat history. You may never notice, because the agent performs the upload as "part of the task".

For the author

If the upload is not needed for the task, remove it: catalogs flag such skills and delist them. If it is needed, name the destination explicitly, say what leaves the machine, and give the user a switch.

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 · 3

✓ No critical or high findings

Medium and low: 3
  • medium Exfiltration net-redirectable-api-key scripts/deep_skill_install.py:68
    Helper sends the API key to a host configured by an environment variable — the key can be redirected to another server
    API key + configurable base URL from environment
  • medium Exfiltration net-redirectable-api-key scripts/deep_skill_search.py:58
    Helper sends the API key to a host configured by an environment variable — the key can be redirected to another server
    API key + configurable base URL from environment
  • medium Exfiltration net-redirectable-api-key scripts/skill_feedback.py:466
    Helper sends the API key to a host configured by an environment variable — the key can be redirected to another server
    API key + configurable base URL from environment

Files scanned: 8. 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 61/100

  • 0Result and completion. Does not say what the result is
  • 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
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Tools and files. No external tools needed
  • 100Steps. 74 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 3441 tokens
  • 100Running it twice. No mutating operations

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
  • -218 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 3 example trigger phrases
  • +3Description length 327: enough signal without eating the budget
  • +4Structure: 18 headings
  • +3Step-by-step instructions: 74 items
  • +4Has examples (8 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)
  • +3All 3 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 82.

External checks

ClawHub: suspicious
This skill does search and install skills as advertised, but its installer and network handling create high-impact risks that need manual review before use.
LLM: suspicious (high) · 10 Sept 2026