9 Commits

Author SHA1 Message Date
lama bd3ba48821 fix: ground first-use reports in verified execution evidence 2026-09-06 17:05:51 +08:00
lama caa9ac65a8 feat: preserve README context and verify completed artifacts 2026-09-06 14:57:43 +08:00
lama 0edf6cb1c7 feat: build auditable research reproduction harness 2026-09-05 02:22:25 +08:00
Claude e5fcfa6af3 Align with the agent-skills ecosystem: AGENTS.md, coverage rubric, multi-model docs
- Add root AGENTS.md so AGENTS.md-aware agents (OpenAI Codex, Cursor,
  GitHub Copilot, Gemini CLI, Aider, Zed, ...) pick up the lane model,
  entrypoint table, evidence contract, and hard rules with no install
  step, complementing the Agent Skills (SKILL.md) standard the skills
  already follow.
- Annotated README gains a rubric-style section-coverage scoreboard in
  its header (e.g. 1 green / 2 yellow / 1 purple / 10 read-only of 14
  sections), and the counts are recorded machine-readably as
  readme_section_coverage in repro_outputs/status.json — inspired by how
  replication benchmarks like PaperBench grade reproduction with
  hierarchical rubrics instead of a single pass/fail. The annotation now
  runs before the bundle writers so status.json carries the coverage and
  the annotated-readme output path.
- READMEs: promote the annotated README to flagship position (moved
  directly after Start Fast, new At-a-Glance rows), add a Multi-Agent /
  Multi-Model section, and document the scoreboard. zh-CN mirrored.
- client-compatibility-policy.md: cover the Agent Skills open standard
  and AGENTS.md consistency rules.
- Demo bundles regenerated with the scoreboard; renderer test now checks
  the coverage line (17 checks).

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01HT2VAaQodjqTJdjBHSStxA
2026-07-26 09:40:04 +00:00
lama d02df96ed1 Clean RigorPilot migration and evidence artifacts 2026-05-18 10:45:01 +08:00
lama 6287b45b37 feat: enhance cross-platform support and add regression tests for environment setup 2026-04-02 09:00:07 +08:00
lama cfb8de161a feat: surface fuller training command hints 2026-04-02 03:08:54 +08:00
lama 84e156d3f7 feat: connect trusted training orchestration 2026-04-02 02:37:42 +08:00
lama 65826915d9 feat: add run-train and narrow trusted verify lane 2026-04-01 14:09:50 +08:00