by Anil-matcha · Agent Tool · ★ 1.0k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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.
| Stars | 1,013 |
| Forks | 281 |
| Category | Agent Tool |
| Quality Score | 64/100 |
| Open Issues | 29 |
| Last Updated | 2026-09-17 |
| Created | 2023-05-06 |
| Platforms | browser, cli |
| Est. Tokens | ~24k |
Awesome DSH Plugin A curated guide to DeepSeek Harness () — DeepSeek's open-source, everything-is-a-plugin coding agent — and the best community plugins built on it. DeepSeek Harness is a runnable coding agent (Web UI + headless) built on Cordis, where every part of the system — models, tools, sandboxes, session storage, UI, even the agent loop itself — is a swappable plugin.
These tools work well together with awesome-dsh-plugin for enhanced workflows:
Looking for a awesome-dsh-plugin alternative? If you're comparing awesome-dsh-plugin with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
Open-source desktop AI agent workspace with one-click Claude Code, Codex, OpenClaw, Hermes Agent setup and cus
Your agent in your terminal, equipped with local tools: writes code, uses the terminal, browses the web. Make
A pre-execution guard for AI coding agents. It blocks destructive Git and file system commands, plus common at
🥇 The strongest free web search plugin for DeepSeek Harness, and the search bridge for every model without na
LLM-supervised persistent memory for AI agents — graph-based recall, cross-session knowledge, single binary. W
Supercharge AI Agents, Safely
Explore other popular agent tool tools:
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: