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).
27
17%
Does it follow best practices?
Impact
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No eval scenarios have been run
Risky
Do not use without reviewing
Optimize this skill with Tessl
npx tessl skill review --optimize ./aitesis/skills/inquire/SKILL.mdSecurity
2 findings — 1 high severity, 1 medium severity. 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.
Insecure credential handling detected (high risk: 1.00). The protocol explicitly instructs the agent to Read/Grep codebase, memory and history and to present collected "Evidence" in Phase 2 (including targeted read-only/lookups and observation results), which can include verbatim config values or tokens from files—so it may require outputting secret values directly, creating exfiltration risk.
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.
Third-party content exposure detected (high risk: 0.90). The skill's Phase 1 context-collection explicitly performs WebSearch/WebFetch (the "CanonicalExternal" / `source: "web:{url}"` flows described under Phase 1 Ctx and "Web context") to gather external docs (RFCs, vendor API pages) that the agent reads and uses to classify uncertainties and drive follow-up actions, exposing it to untrusted third-party web content.
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