ARIS-Anything: Generalizing ARIS from 科研 to 研究 — same five-step loop applied beyond academic research to investment DD

by wanshuiyin · Agent Tool · ★ 55

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.

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.

adversarial-reviewagentarisbilingualclaude-codecross-model-reviewinvestment-researchknowledge-managementlegal-researchllm

Quick Facts

Stars55
Forks5
LanguageMarkdown
CategoryAgent Tool
LicenseMIT
Quality Score56/100
Last Updated2026-10-30
Created2026-05-20
Platformsclaude-code
Est. Tokens~18k

About ARIS-Anything

ARIS-Anything Research as 科研 (kēyán) covers academic science. Research as 研究 (yánjiū) covers everything else — investment, law, product, market, learning, investigation, journalism, engineering post-mortems, ...

Compatible Skills

These tools work well together with ARIS-Anything for enhanced workflows:

  • Mira — semantic(0.46)+complementary+rare_topics+similar_pop+shared_platform (60%)
  • maia-skill — semantic(0.27)+complementary+rare_topics+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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