zissa-wiki: An LLM-maintained research knowledge base in plain markdown, maintained by any AI agent

by MetamusicX · Claude Skill · ★ 62

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

Security audit verdict: SAFE · quality 66/100

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.

academic-researchagents-mdchatgptclaude-codeclaude-skillscodexkarpathyknowledge-basellm-research-wikillm-wiki

Quick Facts

Stars62
Forks8
LanguagePython
CategoryClaude Skill
LicenseMIT
Quality Score66/100
Last Updated2026-09-26
Created2026-04-07
Platformsclaude-code, codex, gemini, python
Est. Tokens~16k

About zissa-wiki

Zissa Wiki Zissa Wiki is a personal, LLM-maintained knowledge base for academic research, built on plain markdown files and operated via Claude Code. Part of the Zissa family of open, agent-driven tooling — a sibling to Zissa Agent Orchestra.

Compatible Skills

These tools work well together with zissa-wiki for enhanced workflows:

  • llm-wiki — semantic(0.53)+complementary+rare_topics+same_lang+similar_pop+shared_platform (73%)
  • LLM-Wiki — semantic(0.59)+complementary+same_lang+similar_pop+shared_platform (71%)

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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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