Assign probabilistic priors to independent Gaia claims in priors.py.
npx skills add https://github.com/SiliconEinstein/Gaia --skill gaia-review
Please help me install this Agent Skill. Skill: gaia-review Source: https://github.com/SiliconEinstein/Gaia/tree/main/gaia/_skills/gaia-review Command: npx skills add https://github.com/SiliconEinstein/Gaia --skill gaia-review
Gaia review helps reviewers correctly assign probabilistic priors to independent Gaia claims so belief propagation produces results that match the reviewer’s intent.
Run gaia build check for the target package with --hole, then use the resulting Holes list to author priors.py via gaia author register-prior until the next gaia run infer and gate checks pass.
High-intent search queries and answers about installing and using this skill.
Belief propagation requires priors only on independent, background, or orphaned claims; you must avoid assigning priors to derived conclusions to maintain a valid probabilistic reasoning chain.
Iterate using a structured workflow: run a build check to find holes, edit priors.py with justified probability ranges, re-run gaia run infer, and validate the results against the gate.
Belief propagation yields mismatched posterior beliefs when your priors.py file is missing, incorrect, or out of alignment with the evidence and discrimination story. Assign correct priors to independent claims to resolve this.
Avoid assigning priors to derived conclusions in your probabilistic reasoning workflow. Priors belong strictly on independent, background, or orphaned claims to prevent skewing belief propagation results.
SiliconEinsteinFormalize scientific sources into Gaia knowledge packages with probabilistic belief updates.
SiliconEinsteinTransform a single academic paper into a standalone Gaia DSL knowledge package.
lyndonklUpdate probability estimates with Bayes' Theorem as new evidence emerges.
jacob-balslevUpdate posterior confidence from priors and evidence strength under uncertainty.
