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mia
by
JingyangQiao(SII)
· GitHub ↗
· v1.0.1
· MIT-0
100
Downloads
1
Stars
0
Active Installs
2
Versions
Install in OpenClaw
/install mia
Description
MIA (Memory-Intelligent Assistant) - 智能记忆助手系统，通过记忆、规划、反馈三模块让OpenClaw具备经验学习能力
Usage Guidance
What to check before installing:
- The skill will read/write plain JSONL files (memory and feedback) under its directories by default; review and control the file paths (MIA_MEMORY_FILE, MIA_FEEDBACK_FILE) and file permissions to avoid accidental storage of sensitive data.
- The metadata in the registry marks MIA_PLANNER_API_KEY and other planner vars as required, but the code only needs the API key when MIA_PLANNER_MODE=api. If you don't want to provide an external API key, set MIA_PLANNER_MODE=local and configure MIA_PLANNER_URL to a local model. Don't provide cloud API keys unless you intend to use api mode.
- There are duplicated files and a coding bug: memory code calls extractPattern() which is not defined. This indicates the package may be untested and could throw runtime errors or behave unexpectedly. Consider reviewing the code locally and running in an isolated/test environment first.
- npm install will fetch node-fetch from the public npm registry (standard dependency) — run installs in a controlled environment if you are cautious about third-party packages.
- If you plan to use this skill in production, inspect the code, run it in a sandbox, and consider encrypting or restricting access to memory/feedback files. If you need help verifying the undefined function or cleaning up the metadata, get a developer to audit/fix those issues before trusting persistent data or production API keys.
Capability Analysis
Type: OpenClaw Skill
Name: mia
Version: 1.0.1
The MIA (Memory-Intelligent Assistant) skill bundle is a legitimate implementation of a task-planning and memory-retrieval system for OpenClaw agents. It uses local JSONL files (memory.jsonl and feedback.jsonl) to store and optimize task trajectories and provides a wrapper for LLM APIs (OpenAI or local Qwen instances) to generate execution plans. The code in mia-planner.mjs, mia-memory.mjs, and mia-feedback.mjs follows standard practices, lacks dangerous sinks like eval() or shell execution, and contains no evidence of data exfiltration or malicious prompt injection.
Capability Assessment
Purpose & Capability
Name/description (memory, planner, feedback) align with the included code files (memory/, planner/, feedback/) and the required binary (node). The planner contacting an LLM API is expected. However the registry metadata marks many env vars as required (including MIA_PLANNER_API_KEY, MIA_PLANNER_URL, MIA_PLANNER_MODEL) even though the SKILL.md and code show the API key is only needed when MIA_PLANNER_MODE=api and local mode is supported. This mismatch is disproportionate to the stated purpose.
Instruction Scope
Runtime instructions and provided SKILL.md limit actions to: calling the planner (local or API), reading/writing JSONL files for memory and feedback, and generating plans. The skill will read/write files under its own directories (memory.jsonl, feedback.jsonl) — this is expected but should be noted. There are no instructions to read unrelated system files or environment variables beyond the declared ones. One functional issue: the memory code references an extractPattern() function that is not defined, which could cause runtime errors and unpredictable behavior in similarity calculation.
Install Mechanism
There is no formal install spec in the registry (instruction-only), but package.json and SKILL.md instruct running npm install (which will pull node-fetch from npm). This is common for Node-based skills; risk is moderate and standard (no external arbitrary downloads or obscure URLs).
Credentials
The skill metadata lists many required env vars unconditionally: MIA_PLANNER_API_KEY, MIA_PLANNER_URL, MIA_PLANNER_MODEL, etc. In code and SKILL.md the API key is only required when MIA_PLANNER_MODE=api (local mode does not require it). Declaring the API key and URL as always required is disproportionate. Also the skill will store data in files whose paths are configurable via env vars (MIA_MEMORY_FILE, MIA_FEEDBACK_FILE) — these are reasonable but the metadata labeling them 'required' without clarifying defaults is misleading. Primary credential set to MIA_PLANNER_API_KEY is reasonable for api mode but should not be mandatory for local usage.
Persistence & Privilege
The skill does not request always:true and does not modify other skills or system-wide settings. It persists data only to its own memory/feedback JSONL files (configurable paths). That persistence is normal for a memory skill but users should be aware that stored memories/feedback are plaintext JSONL files and could contain sensitive content if the agent stores such data.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install mia - After installation, invoke the skill by name or use
/mia - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.1
- No file changes detected in this release.
- Documentation and functionality remain unchanged from the previous version.
v1.0.0
- Initial release of MIA (Memory-Intelligent Assistant) for OpenClaw, enabling experience-based learning with memory, planning, and feedback modules.
- Supports efficient memory retrieval and storage with structural similarity matching and automatic retention of optimal execution paths.
- Planner module generates and optimizes task plans based on historical data or new queries.
- Feedback module collects user input for new questions only, optimizing user experience.
- Extensive configuration via environment variables ensures flexibility with no hard-coded parameters.
- Provides command-line tools for memory, planner, and feedback management.
Metadata
Frequently Asked Questions
What is mia?
MIA (Memory-Intelligent Assistant) - 智能记忆助手系统，通过记忆、规划、反馈三模块让OpenClaw具备经验学习能力. It is an AI Agent Skill for Claude Code / OpenClaw, with 100 downloads so far.
How do I install mia?
Run "/install mia" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is mia free?
Yes, mia is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does mia support?
mia is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created mia?
It is built and maintained by JingyangQiao(SII) (@jingyangqiao); the current version is v1.0.1.
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