SKILLEMALL.ai

BF skill-preflight-checker

技能预检检查器。在安装任何技能前进行安全检查,验证作者声誉、检查恶意脚本、分析权限需求,防止安装恶意技能。

ClawHub Agent Skills author: cp3d1455926-svg v1.0.0 MIT-0 3 files body ≈ 1 034 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process F 35/100 · Will not run — References files that are not bundled: scripts/preflight_check.sh, scripts/scan_package.py, references/red-flags.md

ReferenceInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
82/100
safety, quality, tests
Safety 60%
100
Quality 40%
55
Run on models
none yet
Process rating
F
35/100
Will not run
References files that are not bundled: scripts/preflight_check.sh, scripts/scan_package.py, references/red-flags.md
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
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.
  2. The text references files that are not there: add them or drop the references.
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")
  • warning missing-ref reference to a missing file: scripts/preflight_check.sh
  • warning missing-ref reference to a missing file: scripts/scan_package.py
  • warning missing-ref reference to a missing file: references/red-flags.md
  • warning missing-ref reference to a missing file: references/trusted-authors.md
  • warning missing-ref reference to a missing file: references/checklist-template.md

Process rating: all ten parameters 35/100

Will not run. References files that are not bundled: scripts/preflight_check.sh, scripts/scan_package.py, references/red-flags.md
  • 0Tools and files. 5 referenced file(s) missing: scripts/preflight_check.sh, scripts/scan_package.py, references/red-flags.md
  • 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
  • 100Steps. 40 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1034 tokens
  • 100Running it twice. No mutating operations
  • low 14 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 53: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • -223 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +4Structure: 30 headings
  • +3Step-by-step instructions: 40 items
  • +4Has examples (11 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 55.

External checks

ClawHub: clean
This is a visible checklist-style skill for checking other skills before installation, with broad trigger wording but no bundled executable code or hidden persistence.
LLM: benign (high) · VirusTotal: · 29 May 2026