magpie: Agent-assisted maintainership and development framework for Apache projects

by apache · Agent Tool · ★ 137

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Security audit verdict: SAFE · quality 57/100

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.

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.

agent-skillsapacheautomationclaude-codecvesecurityvulnerability-disclosurevulnerability-management

Quick Facts

Stars137
Forks124
LanguagePython
CategoryAgent Tool
LicenseApache-2.0
Quality Score57/100
Open Issues52
Last Updated2026-11-05
Created2026-04-28
Platformsclaude-code, python
Est. Tokens~15k

About magpie

Table of Contents generated with DocToc Apache Magpie How adoption works Adopting the framework Bootstrap (copy-pasteable shell) Skill takeover Subsequent contributors Drift detection Skill families Maintenance Cross-references Apache Magpie A reusable, project-agnostic framework for ASF-project automation. Currently in development for ASF projects + Python Core team friendlies.

Compatible Skills

These tools work well together with magpie for enhanced workflows:

  • lakevision — semantic(0.17)+complementary+rare_topics+same_lang+similar_pop+shared_platform (60%)

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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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