SKILLEMALL.ai

BF artifact-share

Use when you need to share static web content (HTML/CSS/JS/images) via a publicly accessible URL — uploading generated files, creating shareable pages, or deploying single-page web artifacts

ClawHub Agent Skills author: Gavin v1.0.0 MIT-0 2 files body ≈ 3 044 tokens Open the sourceclawhub.ai analyzed 2 d ago

Use when you need to share static web content (HTML/CSS/JS/images) via a publicly accessible URL — uploading generated files, creating shareable pages, or…

As a process F 45/100 · Will not run — References files that are not bundled: <qr_base64>, <data:image/png;base64,...qr_base64...>

ProcedureSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
B
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
73
Run on models
none yet
Process rating
F
45/100
Will not run
References files that are not bundled: <qr_base64>, <data:image/png;base64,...qr_base64...>
Tools and files w 18
0
Result and completion w 14
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

  1. 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: 2. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: <qr_base64>
  • warning missing-ref reference to a missing file: <data:image/png;base64,...qr_base64...>

Process rating: all ten parameters 45/100

Will not run. References files that are not bundled: <qr_base64>, <data:image/png;base64,...qr_base64...>
  • 0Tools and files. 2 referenced file(s) missing: <qr_base64>, <data:image/png;base64,...qr_base64...>
  • 0Result and completion. Does not say what the result is
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 7 mutating operations with no state check
  • 50Failures and branches. 0 branches, has a failure section
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 28 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 3044 tokens
  • low 11 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
  • -214 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +3Description length 190: enough signal without eating the budget
  • +4Structure: 29 headings
  • +3Step-by-step instructions: 28 items
  • +4Has examples (32 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.

External checks

ClawHub: clean
This skill is a disclosed public static-file sharing workflow, with real but expected privacy and credential-handling risks.
LLM: benign (high) · VirusTotal: · 10 Jul 2026