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The official Agent Skills spec (agentskills.io/specification) whitelists exactly 6 top-level frontmatter keys (name/description/license/compatibility/metadata/ allowed-tools). A top-level `origin` key fails the official validator (anthropics/skills quick_validate.py ALLOWED_PROPERTIES; skills-ref validate). This moves `origin: X` -> `metadata.origin: X` across the canonical skills/ tree, preserving each value verbatim. Frontmatter-only, minimal diff. - 251 SKILL.md updated (242 new metadata block, 9 appended to existing metadata) - origin values preserved verbatim (verified 251/251) - YAML validated on all changed files - scoped to canonical skills/ only (docs/<lang> translations + tool mirrors .cursor/.kiro/.agents left untouched; presumably regenerated from canonical) Addresses #2233
47 lines
1.1 KiB
Markdown
47 lines
1.1 KiB
Markdown
---
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name: continuous-agent-loop
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description: Patterns for continuous autonomous agent loops with quality gates, evals, and recovery controls.
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metadata:
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origin: ECC
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---
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# Continuous Agent Loop
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This is the v1.8+ canonical loop skill name. It supersedes `autonomous-loops` while keeping compatibility for one release.
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## Loop Selection Flow
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```text
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Start
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+-- Need strict CI/PR control? -- yes --> continuous-pr
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+-- Need RFC decomposition? -- yes --> rfc-dag
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+-- Need exploratory parallel generation? -- yes --> infinite
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+-- default --> sequential
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```
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## Combined Pattern
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Recommended production stack:
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1. RFC decomposition (`ralphinho-rfc-pipeline`)
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2. quality gates (`plankton-code-quality` + `/quality-gate`)
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3. eval loop (`eval-harness`)
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4. session persistence (`nanoclaw-repl`)
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## Failure Modes
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- loop churn without measurable progress
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- repeated retries with same root cause
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- merge queue stalls
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- cost drift from unbounded escalation
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## Recovery
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- freeze loop
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- run `/harness-audit`
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- reduce scope to failing unit
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- replay with explicit acceptance criteria
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