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Scientific reasoning via Jnana CoScientist — hypothesis generation, evaluation, and parameter bounding
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
Search and select enzyme sequence homologs from a database. Use when users provide a query sequence and want to discover sequence homologs of the query sequence in a database.
Molecular dynamics simulations using OpenMM with MDAgent-style automation and free energy calculations via MM-PBSA
Convert scientific papers into executable computational workflows and MCP tools
Protein language model embeddings, diversity sampling, and mutation prediction using ESM or GenSLM
Protein structure prediction using Chai-1 or AlphaFold with confidence scoring, quality assessment, and critic evaluation
Analysis of molecular dynamics trajectories (RMSD, RMSF, contacts, hotspot analysis)
| name | jnana-reasoning |
| description | Scientific reasoning via Jnana CoScientist — hypothesis generation, evaluation, and parameter bounding |
| metadata | {"openclaw":{"requires":{"env":["OPENAI_API_KEY"],"bins":["python3"],"anyBins":["python3.11","python3.12"]},"primaryEnv":"OPENAI_API_KEY"},"dependencies":["jnana","academy"]} |
Access Jnana's CoScientist for hypothesis-driven scientific reasoning. This is Layer 2 of the 4-layer hybrid architecture.
The reasoning bridge uses a two-tier prompting strategy:
Tier 1 — Recommendation: recommend_next_action() evaluates the current state
and recommends the next task type (computational_design, molecular_dynamics, analysis,
free_energy, or stop).
Tier 2 — Parameter Bounding: bound_parameters() takes the recommendation and
generates a bounded parameter configuration for the selected skill.
jnana.set_research_goal — Initialize reasoning for a research goaljnana.recommend_next_action — Get next recommended task type (Tier 1)jnana.bound_parameters — Get parameter config for a skill (Tier 2)jnana.evaluate_results — Evaluate artifacts against hypothesesjnana.check_convergence — Check if research goal is metpython skills/jnana-reasoning/scripts/reason.py --help
python skills/jnana-reasoning/scripts/reason.py set-goal "Design a binder for target X"
python skills/jnana-reasoning/scripts/reason.py recommend --previous-run starting
python skills/jnana-reasoning/scripts/reason.py bound-params --skill bindcraft --task-type computational_design
python skills/jnana-reasoning/scripts/reason.py evaluate --artifact-ids abc123 def456
python skills/jnana-reasoning/scripts/reason.py check-convergence
action: Reasoning action — "set_goal", "recommend", "bound_params", "evaluate_results", "check_convergence"research_goal: Research goal description (for "set_goal")previous_run_type: Previous run type for context (for "recommend")skill_name: Target skill for parameter recommendations (for "bound_params")task_type: Task type for parameter schema (for "bound_params")artifact_ids: Artifact IDs to evaluate (for "evaluate_results")