General skillResearch and knowledge
palamedes
Run rigorous LLM research with evidence hierarchy and adversarial checks
- Stars
- 0
- Forks
- 0
- Updated
- Updated Jun 25, 2026
Run rigorous LLM research with evidence hierarchy and adversarial checks
palamedes combines multi-agent research prompts, an agent-loadable skill, calibration scenarios, a browser UI, and offline report templates around a strict evidence discipline. Load-bearing claims need retrievable source text and verbatim quotes, while missing evidence is marked instead of filled from intuition; agreement among agents does not count as independent support. Stakes determine the depth of the workflow, and the browser UI uses the user's own API key.
Resource types
Use cases
Platforms
Capabilities
Generate study-design-aware clinical Table 1 outputs in HTML, Word, and LaTeX.
Retrieve cited Quran and Sahih hadith texts through a RAG-backed Claude skill.
Public GitHub facts last synced Jul 10, 2026.
Define product problems through six research lenses before proposing solutions.
Review ML and AI papers with evidence-based critiques and verified references.