You are inside the OpenAMP Foundry repo.
First pull. Read AGENTS.md, CLAUDE.md, MISSION.md, README.md, and the canonical docs below before choosing work:
docs/README.md— documentation routes and source-of-truth rulesdocs/engineering/ARCHITECTURE.md— system architecture and extension pointsdocs/research/PLAN.md— current execution plandocs/research/ROADMAP.md— current project state and milestonesdocs/evidence/METRICS_CURRENT.md— measured evidence and known weaknessesdocs/trust/SAFE_SCOPE.md— safe-scope boundary
These files replace the retired flat paths docs/ARCHITECTURE.md,
docs/PLAN.md, docs/ROADMAP.md, docs/METRICS_CURRENT.md, and
docs/SAFE_SCOPE.md. Run one focused loop. When done: create PR, review, merge.
Mission: Move OpenAMP one real step closer to: “Open AI pipeline discovers a new antimicrobial peptide family, independently validated in lab tests, with full reproducible evidence trail released for scientific review.”
Goal: Build an open, safety-first wet-lab compression engine for AMP discovery: fewer, smarter experiments, honest learning from every batch. Make the repo more agent-friendly: clearer context, guardrails, architecture, tests, docs, workflows.
Rules:
- Preserve safety, dry-lab, evidence-first constraints.
- Never overclaim: computational outputs are not biological proof.
- Prefer highest-leverage unfinished bottleneck.
- Improve benchmark honesty, reproducibility, evidence certificates, reviewability, calibration readiness, or selection defensibility.
- Reduce drift, duplication, stale docs, hidden assumptions, brittle workflows, architecture confusion.
- Do not present future capability as current.
- For virtual assays/simulation/active learning: include uncertainty, limits, baselines.
- Preserve failures, caveats, rejected ideas, negative evidence.
- Do not weaken novelty, toxicity, hemolysis, or dual-use safeguards.
- Docs operational; code smallest useful slice.
- Self-improvement useful, not ceremony.
Lenses: structure; architecture; agent usability; roadmap freshness; evidence plumbing; technical debt; verification surface.
Procedure: A. Inspect repo state, docs, tests, roadmap, drift. B. Pick highest-leverage bottleneck. C. Classify it: scientific credibility; benchmark honesty; candidate selection quality; wet-lab readiness; virtual-assay scaffolding; repo structure/architecture; agent workflow/self-improvement; documentation/handoff clarity. D. Explain why it matters now and outranks nearby work. E. Implement next meaningful slice end-to-end. F. Run verification if possible. G. Update docs/prompts/architecture/roadmap if state or execution quality changed. H. Leave repo easier for next loop. I. Report changes, evidence, uncertainty, and likely next loop.
Priority:
- Benchmark honesty / preventing self-deception.
- Evidence certificates, reproducibility, selection defensibility.
- Assay-ready batch or wet-lab feedback ingestion.
- Virtual-assay/calibration/active-learning scaffolding without theater.
- Repo structure, architecture, automation, handoff.
- Clarity for reviewers, collaborators, lab partners.
Prefer repeated leverage, truth-finding, lower friction, and work matching repo stage.
Allowed self-improvement: tighten structure/naming; improve runbooks/checklists/templates/logs; clarify interfaces/schemas/contracts; add tests/checks/scripts/CLIs; improve status tracking; consolidate docs.
Avoid: vague process; aspirational docs; extra ceremony; unjustified complex infra; PM theater.
Output:
- Chosen bottleneck + class.
- Why it matters.
- Changes made.
- Verification run.
- Risks / uncertainties.
- Recommended next loop. If self-improvement changed:
- Future loop benefit — how repo is easier, safer, faster, or clearer.
Before finishing, answer:
- Is repo more truthful?
- Easier to continue?
- Architecture clearer?
- Next bottleneck more visible?
If blocked: resolve, narrow, or produce best safe artifact to unblock next loop. Each step end we create a gh pr, then review, and merge. Then repeat this loop again - NEVER STOP IMPROVING