Agent Reflect Engine

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

Security Scan

The skill's code and instructions are consistent with its stated purpose (analyzing agent logs and suggesting patches); it has no network access or credential demands, though there are small documentation mismatches to note.

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).

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.

Assessment

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.

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