Install Acontext, Login & Init Acontext Project, Add Skill Memory to Agent.
52
57%
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High
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tessl review fix ./landingpage/public/SKILL.mdSecurity
1 high severity finding. You should review these findings carefully before considering using this skill.
The skill handles credentials insecurely by requiring the agent to include secret values verbatim in its generated output. This exposes credentials in the agent’s context and conversation history, creating a risk of data exfiltration.
The skill instructs the agent to ask users for API keys and to place them verbatim into CLI commands (e.g., --api-key sk-ac-...), which requires the LLM to handle/output secret values directly and risks exfiltration.
Low
Low-risk findings.
2 low severity findings. 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 required runtime workflow relies on the Claude Code/OpenClaw plugins to auto-capture and distill conversations/sessions into synced “skills” files, which can include outsider-authored free-form messages from other participants; those plugin-generated skill/session text would then be read back into the agent’s LLM context via the skill/memory layer.
The skill fetches instructions or code from an external URL at runtime, and the fetched content directly controls the agent’s prompts or executes code. This dynamic dependency allows the external source to modify the agent’s behavior without any changes to the skill itself.
The SKILL.md instructs running "curl -fsSL https://install.acontext.io | sh" (also for system install), which fetches and executes remote code from https://install.acontext.io as part of installing a required dependency for the skill.
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