Enforce evidence-based reasoning and explicit uncertainty in AI-generated answers.
npx skills add https://github.com/hightemp/process-manager --skill aif-grounded
Please help me install this Agent Skill. Skill: aif-grounded Source: https://github.com/hightemp/process-manager/tree/main/.github/skills/aif-grounded Command: npx skills add https://github.com/hightemp/process-manager --skill aif-grounded
This Skill acts as a reliability gate, preventing the AI from guessing or fabricating information by enforcing evidence-based reasoning and explicit uncertainty.
Use the aif-grounded skill to answer the question about the latest release version, but only if you can verify it from the project's release notes.
High-intent search queries and answers about installing and using this skill.
To prevent AI hallucinations, you enforce evidence-based reasoning by categorizing requests into repo-grounded, doc-grounded, or external-facts sources, requiring mandatory verification for changeable facts before generating output.
You make an AI explicitly declare uncertainty by implementing a confidence gate that mandates a strict output format, forcing the model to state missing information and detail the specific documents needed for a verified answer.
Grounding in AI verification is the process of mandating that responses are tied to verifiable evidence sources rather than fabricated guesses. You need it when querying critical information like company policy updates or financial figures.
You verify changeable facts by enforcing a reliability gate that mandates evidence-based reasoning, categorizing the request as doc-grounded, and requiring explicit verification from provided project release notes before answering.
The limitation of enforcing explicit uncertainty is that the AI will refuse to guess or fabricate information, instead detailing exactly what specific documents or commands are needed, which delays answers when sources are not immediately available.
Evidence-based AI verification does not work optimally without context, because the system categorizes requests into repo-grounded, doc-grounded, or external-facts and requires mandatory verification to pass the confidence gate for changeable facts.
LaiTszKinCombine repository discovery with web research to answer questions with sourced evidence.
horizontalsystemsEnforce evidence verification and confidence gates before answering.
o2b3kEnforce 100 percent confidence with verifiable evidence for AI responses.
thistleknotCalibrate LLM response uncertainty and output proceed, abstain, or escalate recommendations.
