by Kanevry · Claude Skill · ★ 52
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
/plugin marketplace add Kanevry/session-orchestrator
/plugin install session-orchestrator@kanevry
Taken from the project's README on GitHub.
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.
| Stars | 52 |
| Forks | 7 |
| Language | JavaScript |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 71/100 |
| Open Issues | 7 |
| Last Updated | 2026-10-29 |
| Created | 2026-04-02 |
| Platforms | claude-code, cli, codex, node |
| Est. Tokens | ~17k |
Session Orchestrator Session orchestration plugin for Claude Code, Codex, and Cursor IDE. Covers project planning, wave execution, VCS integration, and quality gates. Claude Code, Codex, and Cursor IDE are agentic coding tools. This plugin adds structured session management on top, turning ad-hoc agent interactions into repeatable, quality-gated engineering workflows. No runtime code.
These tools work well together with session-orchestrator for enhanced workflows:
Looking for a session-orchestrator alternative? If you're comparing session-orchestrator 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: