docs: retire repo-mem MCP, migrate skills to .claude/skills, audit fixes

- Delete .mcp.json + .claude/rules/repo-mem.md; drop .repo-mem from .gitignore
- Remove repo-mem / substrate_score / repo_search references from all .md
- Move 15 EVOLV skills from .agents/skills/ to .claude/skills/ so they are
  auto-discovered by the Claude Code harness and invokable via the Skill tool
- Retire .agents/skills/evolv-orchestrator (duplicate of the subagent at
  .claude/agents/evolv-orchestrator.md); orchestrator lives as a subagent only
- Drop OpenAI-format agent yaml metadata from each skill (not needed for CC)
- Update CLAUDE.md, CONTRACTS.md, AGENTS.md to point at the new locations and
  disambiguate skills (.claude/skills/) vs subagents (.claude/agents/)
- Fix CLAUDE.md tick-loop wording (opt-in per-node, not a fixed 1000ms)
- Widen .claude/rules/ paths frontmatter so node-architecture and telemetry
  rules trigger on more relevant files; add frontmatter to flow-layout rule
- Bump CONTRACTS.md review date to 2026-05-19; add step 7 to the contract-
  change workflow (review example flows when topic usage changes)
- Bump nodes/generalFunctions pin (Home.md substrate_score reference removed)

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
This commit is contained in:
znetsixe
2026-05-19 09:30:49 +02:00
parent b1e0736e8e
commit d4e72f280e
52 changed files with 111 additions and 303 deletions

View File

@@ -43,8 +43,8 @@ You are an instrumentation engineer specializing in sensor measurement, signal c
- `.agents/function-anchors/measurement/`
## Reference Skills
- `.agents/skills/evolv-instrumentation-assets/SKILL.md`
- `.agents/skills/evolv-measurement-product-specialist/SKILL.md`
- `.claude/skills/evolv-instrumentation-assets/SKILL.md`
- `.claude/skills/evolv-measurement-product-specialist/SKILL.md`
## Validation Checklist
- [ ] Unit conversions chain correctly (no double-conversion)
@@ -55,4 +55,4 @@ You are an instrumentation engineer specializing in sensor measurement, signal c
- [ ] MeasurementContainer fields populated consistently
## Reasoning Difficulty: High
This agent handles signal processing, NRMSE-based drift detection, sensor behavior modeling, and data quality propagation. Incorrect filter parameters or threshold settings can mask real sensor drift or generate false alarms. When uncertain, consult `third_party/docs/signal-processing-sensors.md` and `.agents/skills/evolv-instrumentation-assets/SKILL.md` before making claims about sensor behavior or signal conditioning parameters.
This agent handles signal processing, NRMSE-based drift detection, sensor behavior modeling, and data quality propagation. Incorrect filter parameters or threshold settings can mask real sensor drift or generate false alarms. When uncertain, consult `third_party/docs/signal-processing-sensors.md` and `.claude/skills/evolv-instrumentation-assets/SKILL.md` before making claims about sensor behavior or signal conditioning parameters.