SKILLEMALL.ai

BF hug-html

8种原子组件自由组合 + 3级约束, cell merging, two-level module system (base + composite), 7+ built-in templates, grid-aware visual editor, style presets, post-generation audit, user template save-as, Chinese error handling

ClawHub Agent Skills author: Lighthexuish v3.3.1 MIT-0 26 files body ≈ 1 294 tokens Open the sourceclawhub.ai analyzed 31 h ago

8种原子组件自由组合 + 3级约束, cell merging, two-level module system (base + composite), 7+ built-in templates, grid-aware visual editor, style presets, post-generation…

As a process F 33/100 · Will not run — References files that are not bundled: references/*.md

GeneratorSoftware developmentPersonal productivitytype and topics are labelled automatically from the skill text
JSON
Technical rating
B
86/100
safety, quality, tests
Safety 60%
100
Quality 40%
65
Run on models
none yet
Process rating
F
33/100
Will not run
References files that are not bundled: references/*.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: 26. 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: references/*.md
  • note frontmatter-key unknown frontmatter key "displayName"
  • note frontmatter-key unknown frontmatter key "sensitive_access"
  • note frontmatter-key unknown frontmatter key "critical_write"
  • note frontmatter-key unknown frontmatter key "permission_weight"
  • note frontmatter-key unknown frontmatter key "data_dir"
  • note frontmatter-key unknown frontmatter key "external_data_dir"
  • note frontmatter-key unknown frontmatter key "trigger"
  • note frontmatter-key unknown frontmatter key "trigger_negative"
  • note frontmatter-key unknown frontmatter key "meta_field_sync"
  • note frontmatter-key unknown frontmatter key "create_permissions_md"
  • note frontmatter-key unknown frontmatter key "license_compliance"

Process rating: all ten parameters 33/100

Will not run. References files that are not bundled: references/*.md
  • 0Tools and files. 1 referenced file(s) missing: references/*.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
  • 30Running it twice. 1 mutating operations with no state check
  • 100Steps. 46 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1294 tokens

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
  • -35 of 8 scripts are never mentioned in SKILL.md
  • +2Single-language instructions
  • +3Description length 209: enough signal without eating the budget
  • +4Structure: 7 headings
  • +3Step-by-step instructions: 46 items
  • +4Has examples (3 code blocks)
  • +4Reference files are cited in the instructions (11 of 11)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 65.

External checks

ClawHub: suspicious
The skill is a mostly coherent HTML generator, but it under-discloses third-party QR network requests and permits raw JavaScript in generated templates.
LLM: suspicious (high) · 9 Jul 2026