BF knowledge-base-ingestion
将外部知识库（文档/笔记/共享文件等）提取内容并灌入向量数据库的标准流程。支持 ChromaDB、Pinecone、Weaviate 等多种向量库后端。包括预扫描目录、识别并排除无效文件、执行分批灌入、验证索引质量、失败恢复。
将外部知识库（文档/笔记/共享文件等）提取内容并灌入向量数据库的标准流程。支持 ChromaDB、Pinecone、Weaviate 等多种向量库后端。包括预扫描目录、识别并排除无效文件、执行分批灌入、验证索引质量、失败恢复。
As a process F 35/100 · Will not run — References files that are not bundled: scripts/knowledge-ingest.py
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- For Hermes the description must be one sentence under 60 characters; move the conditions to a "When to Use" section.
- The text references files that are not there: add them or drop the references.
For the model run — optional
- Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
- A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.
Guard findings · 0
✓ No critical or high findings
Files scanned: 0. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-long-hermesdescription is 113 chars; the Hermes authoring standard requires ≤ 60 (one sentence, ending with a period) - warning
description-no-whenneither description nor a "## When to Use" section says when to use the skill - warning
missing-refreference to a missing file: scripts/knowledge-ingest.py - note
frontmatter-keyunknown frontmatter key "slug" - note
frontmatter-keyunknown frontmatter key "displayName" - note
frontmatter-keyunknown frontmatter key "priority" - note
frontmatter-keyunknown frontmatter key "source" - note
frontmatter-keyunknown frontmatter key "workers" - note
frontmatter-keyunknown frontmatter key "created" - note
frontmatter-keyunknown frontmatter key "updated"
Process rating: all ten parameters 35/100
Will not run. References files that are not bundled: scripts/knowledge-ingest.py
- 0Tools and files. 1 referenced file(s) missing: scripts/knowledge-ingest.py
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Failures and branches. Linear process with no failure handling
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 100Steps. 28 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1212 tokens
- 100Running it twice. No mutating operations
Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.
Quality signals
- +5Description has no quoted example phrases that should trigger the skill
- +4Description does not say when NOT to use the skill (false activations)
- +3Description length 113: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +4Structure: 21 headings
- +3Step-by-step instructions: 28 items
- +4Has examples (9 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 54.
External checks
ClawHub: clean
This is a disclosed workflow for ingesting a user-selected knowledge-base folder into a vector database, with no bundled executable code or negative scan signals.
LLM: benign (high) · VirusTotal: · 9 Jul 2026