bayesian-synthesis
bayesian-synthesis is a Structured reasoning & decision frameworks skill for AI agents, published by Ridwannurudeen in the hermes-council repository on GitHub. Skillspace rates bayesian-synthesis B (81/100) and it passed the safety scan; the rating is based on static analysis only.
Use Bayesian reasoning to synthesize evidence and update beliefs. Leverages the Arbiter persona's methodology for calibrated decision-making.
- Grade
- B
- Quality
- 81 / 100
- Safety
- Passed
- GitHub stars
- 45
Unproven: rated by static analysis only, not yet compared head-to-head.
Not launch-quality. It is graded B with a clean safety verdict, but our quality filters exclude it: it looks like a template or a stub that was never filled in. So it is not in our launch-quality set, the skills our MCP server searches and recommends. How launch-quality is decided
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 100 / 100
- Maturity
- Packaged: licensed, with a version or references
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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