memory-ingest
Process unstructured external input (meeting transcripts, conversation logs, pasted documents) into structured Basic Memory entities. Extracts entities, searches for existing matches, proposes new entities with approval, creates notes with observations and relations, and captures action items.
63
73%
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High
Do not use without reviewing
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tessl review fix ./skills/memory-ingest/SKILL.mdSecurity
1 high severity finding. You should review these findings carefully before considering using this skill.
W007: Insecure credential handling detected in skill instructions.
What this means
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.
Why it was flagged
The skill explicitly requires preserving and embedding user-provided source content "verbatim" into generated notes, which forces the model to include any secrets (API keys, tokens, passwords) present in that input in its output.
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
This skill requires ingesting “pasted content” (meeting transcripts, conversation logs, pasted documents/emails) and preserving it verbatim in the LLM-readable “Source Content” of notes, which is outsider-authored free text that the user did not choose themselves (e.g., other participants’ transcripts/emails) before it is added to context.
- Repository
- basicmachines-co/basic-memory
- Commit
cb95e59
- Audited
- Security analysis
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