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.
40
26%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
Critical
Do not install without reviewing
Optimize this skill with Tessl
npx tessl skill review --optimize ./skills/continuous-learning-v2/SKILL.mdSecurity
2 findings — 1 critical severity, 1 medium severity. Installing this skill is not recommended: please review these findings carefully if you do intend to do so.
Detected high-risk code patterns in the skill content — including its prompts, tool definitions, and resources — such as data exfiltration, backdoors, remote code execution, credential theft, system compromise, supply chain attacks, and obfuscation techniques.
Malicious code pattern detected (high risk: 0.90). The package contains an automated background observer that sends recent local session data to a remote LLM (via the claude CLI) and instructs the model to write files directly into project/global storage without runtime confirmation; combined with heuristic secret-scrubbing and automatic file creation/promotion, this creates a high-risk data-exfiltration and silent modification vector that could leak sensitive content or allow unreviewed changes to repos (i.e., an automated write-capable remote-assisted backdoor-like behavior).
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.
Third-party content exposure detected (high risk: 0.90). The skill's CLI explicitly fetches and ingests content from arbitrary HTTP/HTTPS URLs in scripts/instinct-cli.py (cmd_import / "Fetching from URL: ...") to create/import instinct files that the system will load and use to influence/evolve skills, commands, and agents, meaning untrusted third-party content can alter agent behavior.
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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.