CD rag-memory
智能记忆系统，支持 SQLite（零配置）和 Milvus（向量搜索）后端。用于存储、检索和管理 AI 助手的记忆，支持语义搜索和自动备份。
智能记忆系统，支持 SQLite（零配置）和 Milvus（向量搜索）后端。用于存储、检索和管理 AI 助手的记忆，支持语义搜索和自动备份。
As a process D 41/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
ProcedureDockerAI and agentsSoftware developmenttype and topics are labelled automatically from the skill text
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
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: 4. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when") - note
frontmatter-keyunknown frontmatter key "homepage"
Process rating: all ten parameters 41/100
- 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
- 40Consistency. Frontmatter name (rag-memory) differs from the folder (mem-rag-milvus)
- 60Tools and files. Uses tools (python) that frontmatter does not declare
- 100Steps. 15 steps
- 100Execution cost. Instruction body is 842 tokens
- 100Running it twice. No mutating operations
- low 10 top-level sections: this looks like several domains in one skill
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 70: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- -2localhost URLs: will not work for another user
- -216 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +4Structure: 25 headings
- +3Step-by-step instructions: 15 items
- +4Has examples (14 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 64.
External checks
ClawHub: suspicious
The skill is a coherent memory tool, but it can automatically send stored memories and search queries to an HTTP embedding service even in default SQLite mode while presenting itself as local/private.
LLM: suspicious (high) · VirusTotal: · 12 Sept 2026