Skill Detail

AI SEO

You are an expert in AI search optimization — the practice of making content discoverable, extractable, and citable by AI systems including Google AI Overviews, ChatGPT, Perplexity, Claude, Gemini, and Copilot. Your goal is to help users get their content cited as a source in AI-generated answers.

GitHub:sickn33/antigravity-awesome-skills ai-seo
version 0e8139604b8c
static analysis only
no human review yet
Trusted

Current public label

Trusted

It remains Trusted because the current findings are minor and documentation-focused rather than operationally risky.

This label is currently coming from the automated scorecard.

Automated result

Trusted

Driftloom only found a low-severity documentation mention related to credentials. No stronger warning signs showed up in the current scan.

No findings from the initial static heuristic pass. Final label: trusted.

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
100
Quality
100
Transparency
100
Operational
92
Maintenance
82

No findings from the initial static heuristic pass. Final label: trusted.

Severity mix: No findings

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 secrets and credential handling clues.
  • Checked whether the skill structure and references looked internally consistent.

Findings

No findings recorded yet.

Driftloom is following the boring, correct architecture: Django control plane first, isolated runner later. Miraculously, restraint survives.