SKILLEMALL.ai

BD skill-safe-install

Skills 安全安装工具 - 整合 Vetter 代码审查 + ClawHub 评分 + ThreatBook 沙箱扫描三层验证

ClawHub Agent Skills author: 想开电动车 v2.0.1 6 files body ≈ 1 751 tokens Open the sourceclawhub.ai analyzed 2 d ago

As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ReferenceInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
84/100
safety, quality, tests
Safety 60%
94
Quality 40%
69
Run on models
none yet
Process rating
D
46/100
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 · 6

✓ No critical or high findings

Medium and low: 6
  • low Exfiltration net-credential-use scripts/safe-install.mjs:427
    Credential used in a network call (verify the destination is the intended service) (quoted — discussed, not commanded)
    const curlCmd = `curl -s -X POST "${THREATBOOK_API_BASE}/file/upload?apikey=${apiKey}" \\
    quoted
  • low Exfiltration net-credential-use scripts/safe-install.mjs:457
    Credential used in a network call (verify the destination is the intended service) (quoted — discussed, not commanded)
    const curlCmd = `curl -s -X GET "${THREATBOOK_API_BASE}/file/report?apikey=${apiKey}&sha256=${sha256}&sandbox_type=${sandboxType}"`;
    quoted

A further 4 matches are quotations in this security skill's documentation and are not counted as findings.

Files scanned: 6. 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 "homepage"

Process rating: all ten parameters 46/100

  • 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
  • 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
  • 100Steps. 37 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1751 tokens
  • 100Running it twice. No mutating operations
  • 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)
  • +3Description length 65: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • -234 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +4Structure: 28 headings
  • +3Step-by-step instructions: 37 items
  • +4Has examples (6 code blocks)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 69.

External checks

ClawHub: suspicious
This looks like a legitimate security installer, but it needs review because crafted skill names can reach local shell commands and auto mode can bypass warning confirmations.
LLM: suspicious (high) · VirusTotal: suspicious · 28 May 2026