Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add Luohaothu/everything-codex --skill multi-workflowgit clone --depth 1 https://github.com/Luohaothu/everything-codexWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/luohaothu/everything-codex/multi-workflow)<a href="https://agentmods.dev/skills/luohaothu/everything-codex/multi-workflow"><img src="https://agentmods.dev/badge/skills/luohaothu/everything-codex/multi-workflow/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/luohaothu/everything-codex/multi-workflow"><img src="https://agentmods.dev/badge/skills/luohaothu/everything-codex/multi-workflow.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00030 | $0.00354 |
| Opus 5.5 | $0.00012 | $0.00142 |
| Sonnet 5.5 | $0.00006 | $0.00071 |
| Haiku 4.5 | $0.00003 | $0.00035 |
Grade A, and why
multi-workflow scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Multi-Model Collaborative Workflow
Advanced skill — Full development workflow with multi-model collaboration and quality gates.
Usage
/multi-workflow <task description>
Phases
Phase 1: Research & Analysis
[Mode: Research]
- Enhance prompt and retrieve project context
- Score requirement completeness (>= 7/10 to proceed)
Phase 2: Solution Ideation
[Mode: Ideation]
- Parallel analysis from multiple model backends
- Synthesize into solution options (at least 2)
- Wait for user selection
Phase 3: Detailed Planning
[Mode: Plan]
- Collaborative architecture planning
- Save plan to
.codex/plan/<task-name>.md - Wait for user approval
Phase 4: Implementation
[Mode: Execute]
- Follow approved plan strictly
- Maintain project code standards
- Request feedback at key milestones
Phase 5: Code Optimization
[Mode: Optimize]
- Multi-model parallel code review
- Integrate feedback
- Execute optimization after user confirmation
Phase 6: Quality Review
[Mode: Review]
- Check completion against plan
- Run tests to verify functionality
- Report issues and recommendations
Key Rules
- Phase sequence cannot be skipped (unless user explicitly instructs)
- External models have zero filesystem write access
- All modifications by the orchestrator
- Force stop when score < 7 or user does not approve
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 59 lines · 30 tokens per session scan A f5260184aed2
multi-workflow is a skill published in the GitHub repository Luohaothu/everything-codex (25 stars, last pushed 2mo ago), licensed MIT. It adds 30 tokens to every session and 354 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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