| name | auto-remediation-reviewer |
| description | Review automated repair actions for safe limits, dry runs, approval modes, rollback, audit logs, blast radius, and loop protection. |
| version | 1.0.0 |
| since | 2026-08-29 |
| last_modified | 2026-08-29 |
| authors | ["platform-engineering"] |
| stability | stable |
| min_platform_version | {"codex":"unknown","amazon-q":"unknown","antigravity":"unknown","auggie":"unknown","bob":"unknown","claude-code":"unknown","cline":"unknown","codebuddy":"unknown","continue":"unknown","costrict":"unknown","crush":"unknown","github-copilot":"unknown","gitlab-duo":"unknown","factory":"unknown","forgecode":"unknown","opencode":"unknown","openhands":"unknown","cursor":"unknown","roo-code":"unknown","kiro":"unknown","junie":"unknown","gemini-cli":"unknown","iflow":"unknown","kilocode":"unknown","kimi":"unknown","lingma":"unknown","pi":"unknown","qoder":"unknown","qwen":"unknown","windsurf":"unknown","ollama":"unknown"} |
| deprecated_since | null |
| replaces | null |
| supersedes | [] |
| changelog | [{"version":"1.0.0","date":"2026-08-29","change":"Initial generated production-ready SDLC / DevSecOps skill"}] |
Auto Remediation Reviewer
Purpose
Review automated repair actions for safe limits, dry runs, approval modes, rollback, audit logs, blast radius, and protection against endless loops. Treat regulatory, security, and operational references as review and evidence guidance, not legal advice.
Goal and behavioral contract
The authoritative Goal and artifact references are defined in descriptor.yaml. Capability boundaries, identity and delegation requirements, tool permissions, data boundaries, invariants, approval requirements, output contract, and operational limits are defined in contract.yaml. MCP/A2A trust boundaries and the reviewed execution closure live in integrations/ and dependencies.yaml; ASPS and assurance requirements live in assurance.yaml.
Treat those declarations as mandatory execution constraints. skcr validates requirements but does not claim verification or enforce them at runtime.
When to use
- auto-remediation safety decisions, controls, or operating practices need independent review.
- A change affects auto-remediation safety artifacts such as remediation workflow, dry-run mode, approval gate, rollback action, audit log, rate limit.
- The user needs evidence-oriented findings for risks such as runaway loop, wide blast radius, unsafe automatic change, missing rollback, approval bypass, audit blind spot.
- Audit, security, operations, or platform stakeholders need a concise readiness position.
- Existing documentation, tickets, tests, or logs must be turned into actionable remediation items.
Operating model
- Identify the relevant auto-remediation safety artifacts, owners, systems, environments, and review boundary.
- Compare the available artifacts against expected signals such as execution history, safety threshold, manual override, change ticket, rollback result, loop breaker.
- Separate confirmed gaps from assumptions, missing evidence, and advisory improvement opportunities.
- Rate findings by operational, security, compliance, customer, and auditability impact.
- Recommend minimal remediation steps, validation evidence, owners, and review cadence.
Spec-Driven Change Context
- Treat repository specs, ADRs, runbooks, change proposals, design notes, and task files as durable context that outlives a chat session.
- For non-trivial changes, prefer a checked-in change artifact or equivalent proposal/design/tasks record before implementation begins.
- Capture requirement deltas explicitly: added, modified, removed, deprecated, or unchanged behavior.
- Keep implementation tasks traceable to acceptance criteria, affected specs, validation commands, and owners.
