SKILLEMALL.ai

BF pretext

精准文本测量与布局引擎(基于开源 Pretext)。无需触碰 DOM,纯算术计算文本像素高度,支持中文、CJK、emoji 等多语言。多用于前端虚拟滚动、AI 生成 UI 布局预计算、Canvas 渲染等场景。当用户需要计算文字在指定宽度下的高度、判断换行行数、或精确布局文本时调用此 Skill。

ClawHub Agent Skills author: Freyr v1.0.1 MIT-0 19 files body ≈ 2 785 tokens Open the sourceclawhub.ai analyzed 2 d ago

As a process F 31/100 · Will not run — References files that are not bundled: frontend-dev, browser-use, canvas-design

ProcedureInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
78/100
safety, quality, tests
Safety 60%
95
Quality 40%
53
Run on models
none yet
Process rating
F
31/100
Will not run
References files that are not bundled: frontend-dev, browser-use, canvas-design
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

What is at stake

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

Broad scope 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 skill asks for more than the task needs: broad tool access, credential environment variables, binaries. Every extra permission widens the damage from a mistake or a compromise.

For the author

Narrow allowed-tools and the variable list to the minimum; replace binaries with readable sources or scripts.

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 · 1

✓ No critical or high findings

Medium and low: 1
  • medium Broad scope meta-broad-allowed-tools SKILL.md:1
    Broad tool permissions pre-approved: Bash
    allowed-tools: Bash Read Write Edit

Files scanned: 19. 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: frontend-dev
  • warning missing-ref reference to a missing file: browser-use
  • warning missing-ref reference to a missing file: canvas-design
  • note frontmatter-key unknown frontmatter key "description_zh"
  • note frontmatter-key unknown frontmatter key "description_en"
  • note frontmatter-key unknown frontmatter key "homepage"

Process rating: all ten parameters 31/100

Will not run. References files that are not bundled: frontend-dev, browser-use, canvas-design
  • 0Tools and files. 3 referenced file(s) missing: frontend-dev, browser-use, canvas-design
  • 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
  • 40Consistency. Frontmatter name (pretext) differs from the folder (pretext-text-measurement)
  • 100Steps. 36 steps
  • 100Execution cost. Instruction body is 2785 tokens
  • 100Running it twice. No mutating operations
  • low 13 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
  • -236 emoji in the instructions: noise for the model
  • -33 of 13 scripts are never mentioned in SKILL.md
  • +2Single-language instructions
  • +3Description length 149: enough signal without eating the budget
  • +4Structure: 38 headings
  • +3Step-by-step instructions: 36 items
  • +4Has examples (18 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 53.

External checks

ClawHub: clean
This is a developer text-layout skill with disclosed optional browser/demo output, and I found no hidden data theft, destructive behavior, or automatic privileged action.
LLM: benign (high) · VirusTotal: · 29 May 2026