Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents. v2.1 adds project-scoped instincts to prevent cross-project contamination. Use when capturing lessons from a session, managing instincts, or promoting them into skills, commands, or agents.
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tessl review fix ./skills/continuous-learning-v2/SKILL.mdThe 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 background observer agent reads untrusted session observations containing user prompts and tool outputs (`observations.jsonl`), allowing an outsider submitting prompt content during a session to indirectly inject instructions into the LLM during analysis.
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