honcho
Configure and use Honcho memory with Hermes -- cross-session user modeling, multi-profile peer isolation, observation config, dialectic reasoning, session summaries, and context budget enforcement. Use when setting up Honcho, troubleshooting memory, managing profiles with Honcho peers, or tuning observation, recall, and dialectic settings.
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Low
Low-risk findings worth noting
Low
Low-risk findings.
2 low severity findings. 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
SKILL.md describes runtime system-prompt context injection (“session summary → user representation → AI peer card”) that is generated from observed messages, i.e., potentially outsider-authored free-form chat text contributed by other participants; despite sanitization, the workflow still ingests those messages as readable text into the agent’s LLM context.
W012: Unverifiable external dependency detected (runtime URL that controls agent).
What this means
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.
Why it was flagged
Honcho's cloud endpoint (https://app.honcho.dev) is contacted at runtime to fetch session summaries, user representations and AI peer cards which are auto-injected into the model's system prompt, so remote content from that URL can directly control agent prompts.
- Repository
- NousResearch/hermes-agent
- Commit
c4f5a45
- Audited
- Security analysis
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