continuous-learning-v2
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.
65
78%
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Critical
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tessl review fix ./skills/continuous-learning-v2/SKILL.mdSecurity
1 critical severity finding. Installing this skill is not recommended: please review these findings carefully if you do intend to do so.
E006: Malicious code pattern detected in skill scripts.
What this means
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.
Why it was flagged
The code intentionally sends local session observations to an external LLM (claude CLI) and instructs that LLM to autonomously write files into project storage, enabling remote data exposure and remote-written files without interactive confirmation.
Low
Low-risk findings.
1 low severity finding. Worth noting, but not necessarily harmful.
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
[The observer’s runtime LLM workflow reads free-text tool inputs/outputs from the per-project `observations.jsonl` (captured from Claude Code session activity) and passes a tail-sampled JSONL batch to `claude --print` for pattern analysis.]
- Repository
- affaan-m/ECC
- Commit
d8409a4
- Audited
- Security analysis
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