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Spawn a loomcycle evaluator agent to score the current Claude Code transcript (or a named run) and report the result. Use when the user wants an independent quality/score judgement of work just done via loomcycle.
Instalar com Codex ou Claude Copie este prompt, cole no Codex, Claude ou outro assistente e deixe que ele revise a página da skill e instale para você.
Baseado na classificação ocupacional SOC
Configure a loomcycle runtime — providers, model tiers, user tiers, fallbacks, per-agent sampling and context-compaction, environment variables, deployment profiles (brew/in-system, containerized, true sandbox, server, multi-tenant, cloud), filesystem Volumes, the Bashbox in-process sandbox, the Path VFS, chunked-graph Documents, inbound webhooks, and third-party MCP servers. Use when the user wants to set up or tune loomcycle.yaml or its env, pick a deployment posture, wire provider routing/cost-cascades, gate plans, tune decoding (temperature/top_p) or compaction, lock down tool/sandbox/auth, enable or choose between Bash and the Bashbox sandbox (incl. its host-command fallback), name resources with Path, author chunked-graph Documents (and the SQL Memory they require), receive webhooks, or connect external MCP tools.
Diff two loomcycle AgentDef versions by def_id and show what changed in system_prompt, allowed_tools, max_tokens, and other fields. Use when the user wants to compare two versions of a self-evolving agent definition.
Guide the user through importing a .claude/ directory into loomcycle yaml using the `loomcycle import claude-code` CLI — dry-run first, review the report, then write. Use when the user wants to move Claude Code agents/skills/MCP servers into a loomcycle config.
Walk through replaying a failed loomcycle run — inspect the failure, adjust the prompt or agent, and re-spawn. Use when a loomcycle run errored or produced a bad result and the user wants to retry with a fix.
| name | loomcycle-spawn-evaluator |
| description | Spawn a loomcycle evaluator agent to score the current Claude Code transcript (or a named run) and report the result. Use when the user wants an independent quality/score judgement of work just done via loomcycle. |
Use this when the operator wants an independent evaluation of work — either the current Claude Code transcript or a specific loomcycle run — scored by a loomcycle evaluator agent rather than by you directly.
Steps:
Identify what's being evaluated. Ask the operator (or infer) whether
they want to evaluate (a) the work in the current conversation, or (b) a
specific completed run. If (b), get the run_id.
Choose the evaluator agent. Ask which registered loomcycle agent should
act as evaluator (e.g. evaluator, judge). Do not guess a name — if none
is known, list options via the runs/agents the operator mentions, or ask.
Spawn the evaluator with mcp__loomcycle__spawn_run. Pass the material
to be judged as the prompt, wrapped as segments:
{
"agent": "<evaluator-agent>",
"segments": [
{ "role": "user", "content": [
{ "type": "trusted-text", "text": "Evaluate the following and return a score 0-1 with a one-line rationale:\n\n<material>" }
] }
]
}
Use the active user_id / user_bearer from /loomcycle:connect if set.
Report the evaluator's score + rationale back to the operator clearly.
Offer to record it. If the work corresponds to a real run_id, offer to
submit the score via /loomcycle:eval <run_id> <score>. loomcycle does not
auto-promote on scores — recording is the operator's call.
Keep the loop honest: you are orchestrating an independent judge, so don't pre-bias the evaluator's prompt toward a verdict.