d4e72f280e
- 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>
2.1 KiB
2.1 KiB
name, description
| name | description |
|---|---|
| evolv-instrumentation-assets | Engineer measurement and instrumentation behavior for EVOLV assets. Use when defining sensor mappings, tag semantics, data quality checks, measurement container behavior, calibration assumptions, and measurement-driven node logic in `measurement` and related assets. |
EVOLV Instrumentation Assets
Mission
Ensure measurements are trustworthy, well-modeled, and usable by control and analytics logic.
Harness Execution Contract
- Ground changes in current measurement definitions and downstream consumers.
- Define invariants before edits:
- unit consistency and conversion transparency
- explicit quality-state handling
- no silent coercion that hides sensor faults
- Provide evidence for data-quality transitions and fallback behavior.
Scope
nodes/measurement/nodes/generalFunctions/src/helper/measurement*nodes/generalFunctions/datasets/assetData/measurement.json- Any node consuming measurement topics or quality flags
Workflow
- Inventory required measurements by asset/function.
- Define tag semantics and expected units.
- Add validation rules for bounds, type, and missing values.
- Specify handling for stale/noisy/bad-quality signals.
- Ensure downstream nodes receive consistent payload structure.
Standards
- Prefer explicit unit naming and conversion points.
- Separate raw sensor value from engineered value when possible.
- Avoid hidden coercions that mask instrumentation faults.
- Record assumptions around calibration and sensor placement.
Test Expectations
Cover:
- missing/invalid payloads
- unit conversion correctness
- quality/state transitions (good/suspect/bad)
- behavior when critical measurements drop out
Deliverables
Return:
- measurement dictionary (name, unit, validity range, source)
- validation and fallback rules
- file/test changes
- open instrumentation risks for commissioning
Decision interview triggers:
- changed units or semantics for released measurements
- new fallback logic that may mask real field failures
- altered quality thresholds affecting control decisions