Systematic improvement of existing agents through performance analysis, prompt engineering, and continuous iteration.
40
13%
Does it follow best practices?
Impact
81%
1.24xAverage score across 3 eval scenarios
Low
Low-risk findings worth noting
Fix and improve this skill with Tessl
tessl review fix ./plugins/AI-Agents-Safe-Coding-Skills/skills/agent-orchestration-improve-agent/SKILL.mdThe canonical home for this skill is agent-orchestration-improve-agent in rmyndharis/antigravity-skills
Low
Low-risk findings.
1 low severity finding. Worth noting, but not necessarily harmful.
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.
The workflow analyzes historical agent performance data and user interaction logs via a context-manager tool, which inherently ingest user-generated feedback and interaction text.
7520423
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