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ln-813-optimization-plan-validator
// Use when validating optimization plans through the evaluation platform with mandatory research, parallel agent evidence, sequential merge, and bounded refinement.
// Use when validating optimization plans through the evaluation platform with mandatory research, parallel agent evidence, sequential merge, and bounded refinement.
[HINT] Download the complete skill directory including SKILL.md and all related files
| name | ln-813-optimization-plan-validator |
| description | Use when validating optimization plans through the evaluation platform with mandatory research, parallel agent evidence, sequential merge, and bounded refinement. |
| license | MIT |
Paths: File paths (
references/,../ln-*) are relative to this skill directory.
Type: L2 Coordinator Category: 8XX Optimization
Coordinator for validating optimization plans before execution.
MANDATORY READ: Load references/evaluation_coordinator_runtime_contract.md, references/evaluation_summary_contract.md, references/evaluation_research_contract.md
MANDATORY READ: Load references/agent_delegation_pattern.md
MANDATORY READ: Load references/optimization_review_focus.md
Agent review policy: run health check, record skipped reason when no advisor is available, verify every advisor claim before plan mutation or verdict, and treat transport/auth/tool failures as operator evidence rather than optimization findings. Load references/agent_review_workflow.md only when debugging lifecycle/liveness details outside the evaluation runtime.
Primary input:
.hex-skills/optimization/{slug}/context.mdRequired context sections:
Runtime family:
evaluation-runtimeIdentifier:
optimization-{slug}Phase order:
PHASE_0_CONFIGPHASE_1_LOAD_CONTEXTPHASE_2_AGENT_LAUNCHPHASE_3_RESEARCH_AND_FEASIBILITYPHASE_4_MERGEPHASE_5_REFINEMENTPHASE_6_VERDICTPHASE_7_SELF_CHECKMandatory todo items:
ConfigLoad contextAgent launchResearch and feasibilityMergeRefinementVerdictSelf-checkThe coordinator runs research inline (per references/evaluation_research_contract.md) and refinement inline (per references/agents/prompt_templates/iterative_refinement.md and references/agents/prompt_templates/refinement_perspectives.md). Refinement advisor sessions are launched directly via references/agents/agent_runner.mjs.
required_research=true.evaluation-runtime..hex-skills/optimization/{slug}/context.md.evaluation-runtime.agents_skipped_reason and continue.Required work:
Minimum research lanes:
Feasibility checks:
context.md.Refinement uses a 2-stage state machine per references/agents/prompt_templates/iterative_refinement.md and references/agents/prompt_templates/refinement_perspectives.md:
dry_run_executor, new_dev_tester, adversarial_reviewerfinal_sweepRules:
Possible verdicts:
GOGO_WITH_CONCERNSNO_GONO_GO when:
Required checks:
Write summary_kind=evaluation-coordinator.
Recommended payload:
statusfinal_resultreport_pathworker_countagent_countissues_totalseverity_countswarningscleanup_verifiedresearch_completedevaluation-coordinator summary writtenOptional reference: load references/meta_analysis_protocol.md only when the user asks for post-run meta-analysis or protocol-formatted run reflection.
When requested after the coordinator run, analyze the session per protocol section 7 and include the protocol-formatted output with the final optimization-plan verdict.
references/evaluation_coordinator_runtime_contract.md, references/evaluation_summary_contract.mdreferences/evaluation_research_contract.mdreferences/agent_review_workflow.md, references/agent_delegation_pattern.mdreferences/optimization_review_focus.mdVersion: 1.0.0 Last Updated: 2026-03-15