← 返回 Skills 市场

Agent Reflect Engine

Name: Agent Reflect Engine
Author: albionaiinc-del

作者 albionaiinc-del · GitHub ↗ · v1.0.0 · MIT-0

cross-platform ✓ 安全检测通过

110

总下载

当前安装

版本数

在 OpenClaw 中安装

/install agent-reflect-engine

功能描述

Analyzes AI agent decision logs to find reasoning errors and suggests fixes to enhance performance and reduce hallucinations.

使用说明 (SKILL.md)

Agent Reflect Engine

A self-reflection engine that analyzes AI agent decision logs to identify reasoning flaws and suggest optimization patches, improving long-term performance and reducing hallucination.

Usage

# Analyze agent logs and get reflection report
python agent_reflect_engine.py logs/agent_trace.jsonl --output report.json

# Include trusted knowledge base for hallucination detection
python agent_reflect_engine.py logs/agent_trace.jsonl --knowledge kb.json --output report.json

# Pipe directly for automation
python agent_reflect_engine.py logs/latest.jsonl | jq '.patch_suggestions'

Price

$9.99

安全使用建议

This skill appears to do exactly what it says: analyze log files and suggest patches. Before running: (1) fix or be aware of the filename mismatch in SKILL.md (the included script is tool.py), (2) review the included tool.py (already done here) and run it in a controlled environment, (3) only pass log files you intend to analyze (logs may contain sensitive secrets or PII), and (4) the tool has no network calls or credential use, but it will read any files you point it at and write the output file you specify — avoid writing to sensitive system paths.

功能分析

Type: OpenClaw Skill Name: agent-reflect-engine Version: 1.0.0 The Agent Reflect Engine is a utility for analyzing AI agent logs to identify reasoning errors and hallucinations. The Python script (tool.py) uses only standard libraries to process JSON data and lacks any high-risk behaviors such as network access, shell execution, or sensitive file interaction. The documentation (SKILL.md) is purely descriptive and contains no prompt injection attempts.

能力评估

✓ Purpose & Capability

The description (analyze agent decision logs, detect hallucinations/repetition/inefficiencies, and suggest patches) matches the included Python code: the tool loads a log file and optional knowledge base, runs heuristic detectors, and emits a JSON report. The only minor mismatch is that SKILL.md examples reference 'agent_reflect_engine.py' while the included file is named 'tool.py' (the script's internal header matches the described tool).

ℹ Instruction Scope

SKILL.md usage examples align with the script's CLI (log input, optional knowledge base, output file) and show piping for automation. However, the filename mismatch (agent_reflect_engine.py vs tool.py) is a documentation inconsistency you should resolve before running. The tool will read any filepath you pass as the log or knowledge base, so avoid passing unrelated or sensitive system files.

✓ Install Mechanism

No install spec is provided (instruction-only plus an included Python script). That is low-risk: nothing is downloaded or installed automatically. Running the script will only execute the local Python code.

✓ Credentials

The skill declares no environment variables, credentials, or config paths and the code does not read env vars or network endpoints. Requested access (reading the provided log and optional knowledge base files) is proportionate to its purpose.

✓ Persistence & Privilege

The skill does not request persistent/system-level presence (always is false) and does not modify other skills or system config. It only reads files you explicitly provide and writes a report to stdout or a user-specified output file.

如何使用

确保已安装 OpenClaw（本地或 Docker 部署）
在对话框中输入安装命令：/install agent-reflect-engine
安装完成后，直接呼叫该 Skill 的名称或使用 /agent-reflect-engine 触发
根据 Skill 的参数说明提供必要输入，即可获得结构化输出

版本历史

v1.0.0

- Initial release of Agent Reflect Engine. - Analyzes AI agent decision logs to detect reasoning flaws and suggest optimization patches. - Supports optional integration with a trusted knowledge base for improved hallucination detection. - Provides actionable reflection reports to boost long-term agent performance. - Command-line usage with flexible input/output and automation support.

元数据

Slug agent-reflect-engine

版本 1.0.0

许可证 MIT-0

累计安装 0

当前安装数 0

历史版本数 1

常见问题