outsourcerer: Make your AI agents work as a team

by alexgreensh · Codex Skill · ★ 188

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

Security audit verdict: SAFE · quality 54/100

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-skillsagentic-workflowclaude-codecodexcouncilcouncil-of-agentscursordevinfablegrok

Quick Facts

Stars188
Forks15
LanguageShell
CategoryCodex Skill
Quality Score54/100
Last Updated2026-10-29
Created2026-07-10
Platformsclaude-code, cli, codex
Est. Tokens~18k

About outsourcerer

Your frontier model is doing grep. Outsourcerer routes each job to the best-value capable lane available, brings in a stronger model (or a whole panel of them) when it matters, and shows you the receipt. You already pay for a fleet of AIs: Claude, Co

Compatible Skills

These tools work well together with outsourcerer for enhanced workflows:

  • swarms — semantic(0.22)+complementary+same_lang+similar_pop+shared_platform (58%)

outsourcerer alternative? Top 6 similar tools

Looking for a outsourcerer alternative? If you're comparing outsourcerer with other codex 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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    Define task-specific AI sub-agents in Markdown for any MCP-compatible tool.

  • sub-agents-skills by shinpr · ⭐ 95

    Cross-LLM sub-agent orchestration as an Agent Skills. Route tasks to Codex, Claude Code, Grok, GLM, Kimi, Curs

  • aiwg by jmagly · ⭐ 228

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  • devin-handoff by club-cog · ⭐ 78

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  • agent-skills by Nimbleway · ⭐ 61

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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:

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