inquire
Infer context insufficiency before execution. Surfaces uncertainties through information-gain prioritized inquiry when AI infers areas of context insufficiency, producing informed execution. Type: (ContextInsufficient, AI, INQUIRE, Prospect) → InformedExecution. Alias: Aitesis(αἴτησις).
37
35%
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High
Do not use without reviewing
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tessl review fix ./aitesis/skills/inquire/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 protocol instructs the agent to Read/Grep/WebFetch and record Evidence.content and to present collected "Evidence" verbatim in Phase 2 surfacing with no redaction or secret-handling rules, which can cause API keys, tokens, or passwords found in files or memory to be output by the LLM.
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’s required workflow includes runtime fetching/reading outsider-authored free text via the “WebFetch/WebSearch (CanonicalExternal channel, source: web:{url})” step in Phase 1 context collection, whose retrieved page text is ingested into LLM context for classification and subsequent user inquiry.
- Repository
- jongwony/epistemic-protocols
- Commit
ab9aa56
- Audited
- Security analysis
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