heoster-jarvis-ai-assistant: Heoster AI 2026: Intelligent Personal Assistant Powered by LangChain & Transformers

by LTripleP · Codex Skill · ★ 117

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

Security audit verdict: SAFE · quality 56/100

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.

aicodeexcodeex-aicodexfree-ai-softwareheosteriron-manjarvisjarvis-aijarvis-ready

Quick Facts

Stars117
Forks1
LanguageHTML
CategoryCodex Skill
Quality Score56/100
Open Issues1
Last Updated2026-10-23
Created2026-06-28
Platformscodex
Est. Tokens~17k

About heoster-jarvis-ai-assistant

HARMONICUS 🧠✨ Your Echelon of Cognitive Architecture – Where Thought Meets Resonance Heoster's original vision of a personal AI assistant hinted at a future where intelligence is not merely reactive but deeply integrated. HarmoniCus is that future, reimagined as a resonant intelligence ecosystem.

Compatible Skills

These tools work well together with heoster-jarvis-ai-assistant for enhanced workflows:

  • Brokies-AI-Foundry — semantic(0.29)+complementary+rare_topics+same_lang+similar_pop (60%)
  • jarvis-ai-assistant — semantic(0.54)+complementary+rare_topics+similar_pop (58%)
  • jarvis — semantic(0.24)+complementary+shared_fw(langchain)+similar_pop (51%)

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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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