cascadeflow: Cascading runtime for AI agents. Optimize cost, latency, quality, and policy decisions inside the agent loop

by lemony-ai · Agent Tool · ★ 4.0k

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

How to install cascadeflow

pip install cascadeflow
npm install @cascadeflow/core

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 65/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. 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.

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Quick Facts

Stars3,978
Forks896
LanguagePython
CategoryAgent Tool
LicenseMIT
Quality Score65/100
Open Issues11
Last Updated2026-09-25
Created2025-10-24
Platformsclaude-code, python
Est. Tokens~25k

About cascadeflow

Agent Runtime Intelligence Layer [![Tests](https://g

Compatible Skills

These tools work well together with cascadeflow for enhanced workflows:

  • NadirClaw — semantic(0.20)+complementary+rare_topics+same_lang+similar_pop+shared_platform (57%)
  • llm-use — semantic(0.20)+complementary+rare_topics+same_lang+similar_pop+shared_platform (56%)
  • mate — semantic(0.17)+complementary+rare_topics+same_lang+similar_pop+shared_platform (56%)

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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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