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, ExecutionPlan) → InformedExecution. Alias: Aitesis(αἴτησις).
34
17%
Does it follow best practices?
Impact
Pending
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: 0.90). The protocol mandates Read/Grep-based context collection and that every surfaced uncertainty cite specific observable evidence (and to present probe outputs), which can force the agent to read and display config/file contents or user-provided context that include API keys/tokens/passwords verbatim, creating a high 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 includes "WebSearch" and a "Web context (conditional)" step that fetches and tags web evidence as source: "web:{url}", meaning the agent will read/interpret open/public web content (third-party URLs) to enrich uncertainties and influence classification and execution decisions.
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