oberskills: Discipline plugins for Claude Code — prompt engineering, agent dispatch, writing, and search

by ryanthedev · Claude Skill · ★ 60

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How to install oberskills

/plugin install oberskills@rtd

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 63/100

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.

Quick Facts

Stars60
Forks3
LanguageTypeScript
CategoryClaude Skill
Quality Score63/100
Last Updated2026-09-23
Created2025-12-18
Platformsclaude-code, mcp, node
Est. Tokens~15k

About oberskills

oberskills Skills that make Claude Code and Codex better at the things they are worst at: writing like a person, searching the web without hallucinating URLs, building skills that actually work, and not embarrassing themselves when dispatching agents.

Compatible Skills

These tools work well together with oberskills for enhanced workflows:

  • scrivener-mcp — semantic(0.20)+complementary+shared_fw(anthropic)+same_lang+similar_pop+shared_platform (65%)
  • jevmem — semantic(0.20)+complementary+shared_fw(anthropic)+same_lang+similar_pop+shared_platform (65%)
  • ase — semantic(0.19)+complementary+shared_fw(anthropic)+same_lang+similar_pop+shared_platform (65%)
  • Claude-Zeroclaw — semantic(0.18)+complementary+shared_fw(anthropic)+same_lang+similar_pop+shared_platform (64%)
  • character-arc — semantic(0.17)+complementary+shared_fw(anthropic)+same_lang+similar_pop+shared_platform (64%)

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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:

View on GitHub → Browse Claude Skill tools