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BF huimemory-integration

HuiMemory 本地语义记忆系统集成指南。帮助用户快速集成对话记忆、语义检索、时间过滤功能到 AI 应用中。 触发场景：记忆系统、对话检索、语义搜索、HuiMemory、本地记忆、turn anchor、对话管理、长期记忆、上下文窗口、分段扫描、时间解析、BGE embedding、向量检索、对话轮次、记忆召回。 当用户提到"记忆系统"、"对话检索"、"语义搜索"、"本地记忆"、"turn anchor"等关键词，或询问如何实现对话记忆管理、长期记忆、上下文扩展时，主动使用此 skill。

ClawHub Agent Skills author: Lin Qiuyu v1.0.0 MIT-0 7 files body ≈ 2 009 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 35/100 · Will not run — References files that are not bundled: examples/quickstart.py, examples/llm_integration_demo.py

IntegrationAI and agentsInfrastructuretype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
70
Run on models
none yet
Process rating
F
35/100
Will not run
References files that are not bundled: examples/quickstart.py, examples/llm_integration_demo.py
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  2. The text references files that are not there: add them or drop the references.
For the model run — optional
  • 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: 6. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • warning missing-ref reference to a missing file: examples/quickstart.py
  • warning missing-ref reference to a missing file: examples/llm_integration_demo.py

Process rating: all ten parameters 35/100

Will not run. References files that are not bundled: examples/quickstart.py, examples/llm_integration_demo.py
  • 0Tools and files. 2 referenced file(s) missing: examples/quickstart.py, examples/llm_integration_demo.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. 29 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2009 tokens
  • 100Running it twice. No mutating operations
  • medium 3 test cases, all positive: not one "should refuse" or "should ask first"

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)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +3Description length 251: enough signal without eating the budget
  • +4Structure: 26 headings
  • +3Step-by-step instructions: 29 items
  • +4Has examples (14 code blocks)
  • +4Reference files are cited in the instructions (3 of 3)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 70.

External checks

ClawHub: suspicious
This is a coherent HuiMemory integration guide, but it needs Review because it handles long-term conversation history and examples can send retrieved memories to an external LLM without enough privacy guardrails.
LLM: suspicious (high) · VirusTotal: · 29 May 2026