by Pravko-Solutions · Agent Tool · ★ 607
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
pip install flashlearn
Taken from the project's README on GitHub. Check the security audit before running it.
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.
| Stars | 607 |
| Forks | 38 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 69/100 |
| Last Updated | 2025-03-10 |
| Created | 2025-01-16 |
| Platforms | python |
| Est. Tokens | ~96k |
Flash Learn - Agents made simple FlashLearn provides a simple interface and orchestration (up to 1000 calls/min) for incorporating Agent LLMs into your typical workflows and ETL pipelines. Conduct data transformations, classifications, summarizations, rewriting, and custom multi-step tasks, just like you’d do with any standard ML library, harnessing the power of LLMs under the hood.
Looking for a FlashLearn alternative? If you're comparing FlashLearn with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
Give you decision-ready references for the most common AI engineering problems
🔥🔥🔥 AI security automation platform. Build visual workflows, deploy autonomous agents, and automate threat
Official Microsoft Learn MCP Server and CLI tool – powering LLMs and AI agents with real-time, trusted Microso
The python library for research and development in NLP, multimodal LLMs, Agents, ML, Knowledge Graphs, and mor
Official remote MCP server for Atlassian. Securely connect Jira, Confluence, Jira Service Management, Bitbucke
Production-Ready MCP Server Framework • Build, deploy & scale secure AI agent infrastructure • Includes Auth,
Explore other popular agent tool tools:
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: