| name | saker-knowledge |
| description | Use KnowHub domain knowledge through MCP before answering Saker architecture, product, operations, security, or agent-skill questions. |
| allowed-tools | knowledge.list_domains, knowledge.search, knowledge.ask, knowledge.get_source, knowledge.list_providers, knowledge.validate_okf |
| keywords | ["saker","knowhub","knowledge","architecture","operations","evidence","citations"] |
| user-invocable | true |
Saker Knowledge
Use this skill whenever a user asks about Saker platform architecture, module responsibilities, deployment, operations, security policy, agent behavior, skills, internal APIs, troubleshooting, or product capability claims that should be grounded in Saker-maintained knowledge.
Required Lookup
Before answering a Saker domain question, call:
knowledge.search(domain="saker-architecture", query=<user question>, top_k=8)
Use another domain only when the question clearly belongs there or when knowledge.list_domains shows a better domain. Common domains:
saker-architecture: modules, service boundaries, protocols, auth, WebHub, KnowHub, SkillHub, ChatHub, AIHub, StockHub.
saker-devops: deployment, configuration, recovery, local stack operation.
security-compliance: permissions, audit, tenant isolation, token handling.
ai-agent-skills: skill authoring, agent runtime rules, evidence use.
If the first search returns weak or missing evidence, refine once with a narrower query or a more specific domain before answering.
Use knowledge.ask only when the caller explicitly wants a concise evidence-grounded answer facade from KnowHub. For implementation decisions, reviews, or multi-step reasoning, prefer knowledge.search first so you can inspect evidence directly.
Evidence Rules
- Base the answer on KnowHub evidence, not memory.
- Cite the source for every factual claim that depends on retrieved knowledge.
- Prefer evidence with a higher
confidence, newer updated_at, and a source that matches the requested module or domain.
- Use
knowledge.get_source(source_id=...) when a search hit is ambiguous, truncated, or needs source-level context.
- Do not expose
tenant_id, permission labels, provider credentials, internal JWTs, API keys, OpenViking keys, DashScope AccessKeys, or long-lived download URLs.
- Do not call PandaWiki, DashScope, OpenViking, vector stores, or any provider directly. KnowHub is the only knowledge boundary.
Answer Format
Use concise grounded answers:
<answer>
Sources:
- <title> (<source_id>, <updated_at>)
When citing multiple evidence chunks from one source, group them under the same source entry and mention the relevant section path when available.
If evidence is insufficient, say so directly:
KnowHub does not have enough evidence to answer this reliably. The closest evidence shows ...
Missing evidence: ...
Do not fill gaps with speculation. If the user needs an implementation decision and evidence is incomplete, provide the decision as a recommendation and label it as an inference.
OKF Validation
When asked to review or import knowledge content, call:
knowledge.validate_okf(content=<markdown or bundle manifest text>)
Report validation errors first, then warnings. Treat missing title, updated_at, or owner front matter as blocking errors. Treat missing citation links as a quality warning unless the caller explicitly requires citation-complete content.
Provider Health
When answers are unexpectedly empty, slow, or inconsistent, call knowledge.list_providers and report provider health only at status level:
- provider id
- type
- healthy/unhealthy
- latency
- last error
Never report provider secret configuration values.