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autonomous-agents

Autonomous agents are AI systems that can independently decompose goals, plan actions, execute tools, and self-correct without constant human guidance. The challenge isn't making them capable - it's making them reliable. Every extra decision multiplies failure probability.

30

Quality

24%

Does it follow best practices?

Impact

No eval scenarios have been run

SecuritybySnyk

Advisory

Suggest reviewing before use

Optimize this skill with Tessl

npx tessl skill review --optimize ./skills/antigravity-autonomous-agents/SKILL.md
SKILL.md
Quality
Evals
Security

Security

1 medium severity finding. This skill can be installed but you should review these findings before use.

Medium

W011: Third-party content exposure detected (indirect prompt injection risk)

What this means

The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.

Why it was flagged

Third-party content exposure detected (high risk: 0.90). Yes — SKILL.md explicitly grants and references web_search/read_web in TASK_PERMISSIONS and instructs agents to "cross-check with external sources" and cite tool outputs (see "Validate against ground truth" and ReAct/agent loop examples), which means the agent ingests public third-party web/tool content that can influence planning and actions.

Report incorrect finding
Repository
boisenoise/skills-collections
Audited
Security analysis
Snyk

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.