broccoli: Broccoli turns Linear tickets into shipped PRs — powered by Claude and Codex, running on your own Google Cloud

by besimple-oss · Codex Skill · ★ 285

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

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.

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-agentsai-coding-assistantanthropicautonomous-agentsblaxelclaudeclaude-codecode-reviewcodexdevops-automation

Quick Facts

Stars285
Forks11
LanguagePython
CategoryCodex Skill
LicenseMIT
Quality Score65/100
Last Updated2026-04-26
Created2026-04-14
Platformsclaude-code, codex, python
Est. Tokens~25k

About broccoli

🥦 Broccoli OSS AI teammates for your engineering loop. Broccoli turns Linear tickets into shipped PRs — powered by Claude and Codex, running on your own Google Cloud. Why Broccoli 🎯 Linear ticket → reviewable PR. Assign an issue to the Broccoli bot and watch it plan, implement, and open a pull request while you sleep. 🔒 Your infra. Your keys. Your data.

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  • way-back-home — semantic(0.24)+complementary+same_lang+similar_pop+shared_platform (53%)

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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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