by suboss87 · Claude Skill · ★ 972
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
/plugin marketplace add suboss87/fdeops
/plugin install fdeops@fdeopsTaken from the project's README on GitHub. Check the security audit before running it.
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 | 972 |
| Forks | 111 |
| Language | JavaScript |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 64/100 |
| Open Issues | 1 |
| Last Updated | 2026-10-21 |
| Created | 2026-06-25 |
| Platforms | claude-code, codex, node |
| Est. Tokens | ~15k |
FDEOps The discipline and methodology for Forward Deployed Engineers. You embed at a client site. You bridge strategy and code. You ship on their systems, not yours. Every morning you open your AI coding agent, and it has no idea what happened yesterday with your projects/clients. You re-paste the same context. You explain the stakeholders again. You remind it about the scope change from Tuesday.
These tools work well together with FDEOps for enhanced workflows:
Looking for a FDEOps alternative? If you're comparing FDEOps with other claude skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
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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: