Skill Detail

Stitch UI Design Prompting

This skill provides guidance for creating prompts in Google Stitch, an AI-powered UI design tool. It helps users generate high-quality UI designs for web and mobile applications.

GitHub:sickn33/antigravity-awesome-skills stitch-ui-design
version 90f98498ea25
static analysis only
no human review yet
Use Caution

Current public label

Use Caution

Because the skill's documentation mentions secrets, it is labeled with caution. The skill's structure is mostly documentation, which limits automated verification.

This label is currently coming from the automated scorecard.

Automated result

Use Caution

The skill's documentation mentions credentials or secrets. The source code appears to be mostly documentation.

4 low Final label: use caution.

Human review

No human review has been recorded yet.

The current public label is still relying on automation. A human has not weighed in yet.

What happened

Driftloom completed a static scan. It inspected the skill files, recorded findings, and generated a scorecard.

Runtime evidence

No sandbox runtime result has been recorded yet.

What did not happen

  • Driftloom did not run this skill in an isolated sandbox yet.
  • This label is not a guarantee that the skill is safe, bug-free, or appropriate for every environment.
  • A good score does not replace human judgment when a skill touches secrets, shell access, or external systems.

Source provenance

Source: Workspace import

Originally ingested from a local workspace copy.

Scorecard

Safety
82
Quality
94
Transparency
100
Operational
92
Maintenance
82

4 low Final label: use caution.

Severity mix: 4 low

What Driftloom checked

  • Read the skill files and metadata to understand what the skill claims to do.
  • Looked for shell commands and risky command patterns, even if none stood out strongly.
  • Looked for external URLs and network behavior.
  • Looked for secret, token, password, and credential references.
  • Checked whether the skill structure and references looked internally consistent.

Findings

Documentation-only skill structure
structure.docs_only · quality
Low

The source looks almost entirely documentation-based, with no obvious code or config files to inspect. That does not make it bad, but it limits how much automation can meaningfully verify.

File: SKILL.md
Secret or credential reference detected
secret.reference · safety
Low

The docs mention credentials or secrets. That may be normal, but it still tells you the skill expects sensitive material somewhere in the workflow.

File: SKILL.md
Evidence: password
Secret or credential reference detected
secret.reference · safety
Low

The docs mention credentials or secrets. That may be normal, but it still tells you the skill expects sensitive material somewhere in the workflow.

File: references/advanced-techniques.md
Evidence: Token
Secret or credential reference detected
secret.reference · safety
Low

The docs mention credentials or secrets. That may be normal, but it still tells you the skill expects sensitive material somewhere in the workflow.

File: references/prompt-examples.md
Evidence: Password
Driftloom is following the boring, correct architecture: Django control plane first, isolated runner later. Miraculously, restraint survives.