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config-authoring

Create, modify, review, and harden configuration for the Adobe Dispatcher Apache HTTP Server module and Apache HTTPD in AEM as a Cloud Service environments only. Use for `.any`, vhost, rewrite, cache, and filter changes.

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설치 방법 보기

포함된 파일(18)

  • SKILL.md5.8 KB
  • references/config-authoring/config-patterns.md6.4 KB
  • references/config-authoring/config-scenario-playbooks.md9.1 KB
  • references/config-authoring/mcp-tool-orchestration.md5.0 KB
  • references/config-authoring/reference-snippets.md4.0 KB
  • references/config-authoring/validation-playbook.md4.3 KB
  • references/dispatcher-foundation/change-risk-and-rollback-template.md1016 B
  • references/dispatcher-foundation/cloud-service-aemaacs-guardrails.md10.3 KB
  • references/dispatcher-foundation/core-7-tools-reference.md4.4 KB
  • references/dispatcher-foundation/local-sdk-execution.md7.2 KB
  • references/dispatcher-foundation/mode-specific-verification-matrix.md4.1 KB
  • references/dispatcher-foundation/playbook-command-linkage.md7.9 KB
  • references/dispatcher-foundation/public-doc-citation-rules.md2.0 KB
  • references/dispatcher-foundation/public-docs-index.md8.0 KB
  • references/dispatcher-foundation/quick-start-execution-path.md3.4 KB
  • references/dispatcher-foundation/README.md483 B
  • references/dispatcher-foundation/repo-layout-workflows.md3.7 KB
  • references/dispatcher-foundation/test-case-catalog.md4.1 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

Dispatcher Config Authoring (Cloud)

Design minimal, deterministic changes for the Adobe Dispatcher Apache HTTP Server module and related HTTPD configuration in AEMaaCS, then verify with MCP evidence.

Variant Scope

  • This skill is cloud-service-only.
  • Scope is fixed by this skill directory; do not ask the user to choose deployment variant.

MCP Tool Contract

Use only these Dispatcher MCP tools:

  • validate
  • lint
  • sdk
  • trace_request
  • inspect_cache
  • monitor_metrics
  • tail_logs

Workflow

Cloud Config Progress
- [ ] 1) Confirm scope and acceptance criteria; if the repo layout is unclear, normalize it with `repo-layout-workflows.md`
- [ ] 2) Apply cloud guardrails (immutable files, required includes, symlink topology, required wildcard ServerAlias coverage, reserved probe paths, preserved cloud vhost defaults, CDN-vs-Dispatcher boundary)
- [ ] 3) Decompose target URLs (path/selectors/extension/suffix) and use that model for all URL-based rules—filters, cache rules, etc.—using `/path`, `/selectors`, `/extension`, `/suffix` or aligned globs (not raw `/url`) where applicable; then design complete section-level edits
- [ ] 4) Update config with least-privilege defaults (produce final merged section, not isolated rule snippets)
- [ ] 5) Run static checks: validate -> lint (deep/order-aware when filters changed)
- [ ] 6) Run SDK checks: `sdk({"action":"check-files","config_path":"<dispatcher src path>"})`, `sdk({"action":"diff-baseline","config_path":"<dispatcher src path>"})` as needed
- [ ] 7) Run runtime verification in container-backed environment
- [ ] 8) Return diff, evidence table, risk/rollback, and citations

Verification Scope Selection

Use the shared references to select the minimum evidence set:

Output Contract

Always include:

  • files changed + intent
  • exact insertion location and final merged section content for each edited block
  • checks executed + evidence
  • selected test IDs
  • risk/rollback plan
  • residual risks and next checks

Feature cross-boundary (Playbook G)

Permission-sensitive caching (/auth_checker) is end-to-end: it requires both Dispatcher config and an AEM servlet. When implementing Playbook G from scratch, create or verify the auth-check servlet in the project core bundle (path /bin/permissioncheck, HEAD/GET, 200 or 403) and allowlist it on publish; then add the /auth_checker block, filter allow for the endpoint, and /allowAuthorized "1" in /cache. See config-scenario-playbooks.md Playbook G and reference-snippets.md.

Guardrails

  • Do not weaken deny-by-default security posture without explicit user approval.
  • Do not claim runtime verification if container/runtime prerequisites were missing.
  • Keep changes minimal and scoped.
  • Enforce cloud guardrails from cloud-service-aemaacs-guardrails.md before proposing config edits.

References

리뷰

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