deslop-GPT: Deletion-first Agent Skill for removing test bloat, verification theater, and speculative fallbacks while

by MrZoyo · Claude Skill · ★ 136

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

How to install deslop-GPT

/plugin marketplace add MrZoyo/deslop-GPT

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 67/100

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.

agent-skillsclaudeclaude-aiclaude-codeclaude-skillscode-cleanupcodexcoding-agentsdeveloper-toolsllm-evaluation

Quick Facts

Stars136
Forks0
LanguagePython
CategoryClaude Skill
LicenseMIT
Quality Score67/100
Last Updated2026-10-06
Created2026-08-24
Platformsclaude-code, codex, python
Est. Tokens~17k

About deslop-GPT

deslop A deletion-first Agent Skill for agent-maintained codebases 简体中文 · English Evidence-backed cleanup that reduces accumulated machinery while preserving real behavior. audits and, when explicitly authorized, removes complexity accumulated through repeated coding-agent implement

Compatible Skills

These tools work well together with deslop-GPT for enhanced workflows:

  • skills — semantic(0.31)+complementary+same_lang+similar_pop+shared_platform (61%)
  • optimus-claude — semantic(0.30)+complementary+same_lang+similar_pop+shared_platform (61%)
  • coder_eval — semantic(0.30)+complementary+same_lang+similar_pop+shared_platform (60%)
  • techne — semantic(0.29)+complementary+same_lang+similar_pop+shared_platform (60%)

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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