SKILLEMALL.ai

BC veteran

需要访问的网络资源无法直接访问的时候,需要启动网络代理服务,通过代理访问网络资源的时候使用。管理 veteran 节点代理客户端,包括订阅更新、节点列表查看、启动/停止 SOCKS5 代理、查看运行状态、配置分流规则等。当用户需要操作 veteran 代理工具、询问 veteran 命令用法、配置订阅、设置分流规则、或排查代理问题时使用。

ClawHub Agent Skills author: veteran-cli v1.0.2 MIT-0 4 files body ≈ 1 362 tokens Open the sourceclawhub.ai analyzed 27 h ago

需要访问的网络资源无法直接访问的时候,需要启动网络代理服务,通过代理访问网络资源的时候使用。管理 veteran 节点代理客户端,包括订阅更新、节点列表查看、启动/停止 SOCKS5 代理、查看运行状态、配置分流规则等。当用户需要操作 veteran 代理工具、询问 veteran…

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

Proceduretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
70
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: 4. 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 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
  • 20When it triggers. No condition that starts the skill
  • 40Consistency. Frontmatter name (veteran) differs from the folder (veteran-proxy)
  • 100Tools and files. No external tools needed
  • 100Steps. 9 steps
  • 100Execution cost. Instruction body is 1362 tokens
  • 100Running it twice. No mutating operations
  • 100Progress reporting. Reports progress
  • low 12 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
  • -220 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +3Description length 170: enough signal without eating the budget
  • +4Structure: 28 headings
  • +3Step-by-step instructions: 9 items
  • +4Has examples (16 code blocks)

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

External checks

ClawHub: clean
This is a disclosed proxy-management skill whose sensitive network-routing behavior matches its stated purpose.
LLM: benign (high) · VirusTotal: · 5 Jun 2026