kunolu/640-skills/knowledge-base-integration

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Use when configuring or running product-level Knowledge Ingest, target-ref Feature catalogs, Evidence Policy decisions, Revision Sets, idempotent smoke, or local/remote knowledge runners across repositories.

Install

npx vskill@latest install kunolu/640-skills/knowledge-base-integration

SKILL.md

Knowledge Base Integration

Use this Skill for the P1 read-only integration runtime. Repository-owned .feature files at configured target refs remain the behavior SOT. The runtime produces rebuildable catalogs and evidence bundles; it does not change source repositories.

Steps

  1. Read the product registry and server workspace mapping. Validate both with scripts/knowledge_base_p1.py validate-config. Completion: every required repository has an explicit remote, role, target ref, feature root, and contained local mapping.
  2. Resolve Evidence intent before a formal run with decision. Completion: the immutable decision records required / not-required / blocked, targets, source rule, reason, policy version, and digest.
  3. For read / 读取, run ingest. Completion: every available ref is fixed to a full commit SHA; complete no-ID Gherkin structures, locators, bindings, conflict candidates, metrics.json, and ingest-summary.json exist; mutation is none.
  4. For CI or knowledge-server smoke, run smoke only after runner, environment, account, data, service, device, and app-artifact prerequisites are known. Completion: staged native commands ran through the local or configured command Runner Adapter; current-run reports, Chinese summaries, artifact manifest, checksums, metrics and evidence bundle exist, or the run is explicitly blocked.
  5. Report exact status and paths. P1 publication is always not-configured; PR checks, remote publication, invalidation, retention, quarantine and gates belong to P2.

Commands

bash
python scripts/knowledge_base_p1.py validate-config \
--product /path/to/product.yaml \
--workspace /path/to/workspace.local.yaml
python scripts/knowledge_base_p1.py decision \
--product /path/to/product.yaml \
--repository smart-fuzi-web \
--trigger pull-request \
--execution-profile developer-local
# CI-generated PR evidence resolves the same policy with an explicit CI source.
python scripts/knowledge_base_p1.py decision \
--product /path/to/product.yaml \
--repository smart-fuzi-web \
--trigger pull-request \
--execution-profile ci
python scripts/knowledge_base_p1.py ingest \
--product /path/to/product.yaml \
--workspace /path/to/workspace.local.yaml \
--output /path/to/generated/products/smart
python scripts/knowledge_base_p1.py smoke \
--product /path/to/product.yaml \
--workspace /path/to/workspace.local.yaml \
--output /path/to/runtime/runs/smart-smoke \
--trigger schedule \
--execution-profile knowledge-server \
--suite-key smoke \
--attempt 1

Read runtime-contract.md before configuring retry/attempt identity, staged smoke, report integrity, trusted deployment metadata, or a non-local Runner Adapter. Start deployment metadata from deployment-manifest.example.yaml.

Pass trusted deployment metadata with --deployment-manifest. verified requires its path, issuer and digest to be trusted, its repository SHAs to equal the Revision Set, and its expected runner/tool/image attestation to match the Adapter result. For local execution, workspace.local_runner plus repeatable --runner-label describes current capabilities. For Mobile or another device pool, declare runner and required_runner_labels on the command and configure that runner key in the server Workspace.

smoke --execution-profile accepts ci or knowledge-server; developer-local reports remain owned by project-native validation. A CI smoke envelope uses clean detached worktrees, exact revisions, and Evidence Publication: not-configured until a P2 publisher accepts it.

Use --no-fetch only when the configured refs are already present locally and the caller explicitly wants an offline run. A missing ref is blocked; the runtime never falls back to the current or default branch.

Configuration and Schemas

  • Start from product.example.yaml and workspace.local.example.yaml.
  • Validate persisted artifacts against the JSON Schemas in references/, including product/workspace, decision, Revision Set, deployment metadata, Runner job/result, artifact manifest and metrics contracts.
  • YAML input requires PyYAML; JSON configuration remains available without it. Install the pinned minimums in requirements.txt in the knowledge-server runtime environment.

Hard Boundaries

  • sync / 同步 remains the writable BDD Sync Mode in gherkin-bdd. Invoke this Skill's read / 读取 branch only for explicit read-only intent with no add/change/update/delete intent; mixed read-and-mutate requests remain in the normal BDD workflow.
  • Existing Feature and Scenario text is parsed without adding IDs, owner tags, scope tags, or a Gherkin runner.
  • Long-lived clones are fetch caches. Smoke commands run in detached isolated worktrees.
  • Smoke command strings are shell-free argv strings. Use stage for preflight, preparation, tests and cleanup; cleanup remains runnable after an earlier stage blocks.
  • Formal report declarations provide an exact relative path or glob for a runner report and its same-stem Chinese Markdown summary. Only pairs created or refreshed by the current command are collected; stale, non-Chinese, missing, unsafe or sensitive artifacts make Evidence blocked.
  • Current report-only smoke continues to emit schemaVersion: 1 with featureSources: []. That envelope remains valid generic evidence and must not be treated as BDD scenario coverage. Scenario-backed knowledge evidence requires a separate v2 envelope; do not rewrite v1 smoke into v2 links.
  • Duplicate logical runs reuse their idempotency record. Use a new --attempt for an intentional rerun; infrastructure retries stay inside that attempt and assertion failures do not retry automatically.
  • smoke-only, contract, mock, app-mocked, and backend-only modes retain their actual meaning.
  • Configuration and artifacts contain no credentials, tokens, PII, production data, or sensitive request content.

Output

Report:

  • Knowledge Ingest: run / partial / blocked / not-needed
  • Evidence Contract: not-required / required / blocked
  • Evidence Intent and Evidence Targets
  • Revision Set: id, status, and each repository ref/SHA
  • Knowledge Server Smoke: passed / failed / blocked / not-needed
  • Evidence Source: ci / knowledge-server / not-needed for smoke runs
  • Environment Alignment: verified / unverified / mismatch / not-needed
  • Evidence Publication: not-configured for P1
  • generated catalog, summary, report, and envelope paths
  • idempotency key, parser version, suite key and attempt
  • artifact manifest, checksums, runner attestation and metrics paths

Security

  • Security scanPassed, 90 of 100Pattern checks on the skill's files.
  • Model reviewPassed

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