temporal-ai-agent-pipeline: Optimizing Dynamic Knowledge Base Using AI Agent

by FareedKhan-dev · Agent Tool · ★ 97

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

Security audit verdict: CAUTION · quality 64/100

Flagged: environment access. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

ai-agentsdatabaselangchainlanggraphopenairag

Quick Facts

Stars97
Forks20
LanguageJupyter Notebook
CategoryAgent Tool
LicenseMIT
Quality Score64/100
Last Updated2025-08-13
Created2025-08-13
Est. Tokens~28k

About temporal-ai-agent-pipeline

Temporal AI Agent for Knowledge Base Modern RAG or Agentic architectures to answer questions depend on a dynamic knowledge base that keeps updating over time, such as financial reports or documentation, so that the reasoning and planning process remains logical and accurate.

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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