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 agentmods add skills/drvoss/everything-copilot-cli/multi-model-strategynpx skills add drvoss/everything-copilot-cli --skill multi-model-strategygit clone --depth 1 https://github.com/drvoss/everything-copilot-cliWhat 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 | $0.00036 | $0.02638 |
| Opus 5 | $0.00018 | $0.01319 |
| Sonnet 5 | $0.00007 | $0.00528 |
| Haiku 4.5 | $0.00004 | $0.00264 |
Grade A, and why
multi-model-strategy 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 2d 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.
How it starts
The opening of the file, as written. The whole thing — 267 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Multi-Model Strategy
Why This is Copilot-Exclusive
Copilot CLI provides a broad model selection that can be switched at any time via the
/model command or per-agent via the model parameter. This lets you mix premium review
models, code-focused implementation models, and fast/cheap exploration models in one workflow
instead of forcing every step through the same model family.
When to Use
- Deciding whether Copilot Auto should handle model choice or whether to override it manually
- Matching model strengths to task requirements
- Optimizing cost for high-volume operations (use cheaper models for exploration)
- Using premium models for security-critical or architecturally complex work
- Running different models for different sub-agents in the same session
- A/B testing model quality on the same task
- Pairing implementation and review models on the same workflow
Workflow
Auto Model Selection
Auto model selection is available in Copilot CLI. When you choose Auto, Copilot selects an appropriate supported model based on your plan and policies, and shows which model was used for each response in the terminal.
/model
# Select Auto
Use Auto when:
- the task mix is broad and you do not want to hand-tune each step
- you want lower mental overhead for everyday work
- the session may shift between exploration, implementation, and review
Prefer a manual override when:
| Scenario | Why override Auto | Suggested path |
|---|---|---|
| High-stakes security or architecture work | You want a guaranteed premium model | choose a premium model explicitly |
| Strict reproducibility matters | Auto can route to different supported models over time | lock a specific model |
| You are comparing two models intentionally | A/B testing requires a stable choice | pick exact model names |
Model Tiers and Strengths
Premium Tier (Deep Reasoning)
| Model | Best For |
|---|---|
claude-opus-4.7 |
Frontier reasoning, most capable Claude |
claude-opus-4.6 |
Complex architecture, security analysis |
claude-opus-4.5 |
Deep reasoning, nuanced code review |
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.
- 2d ago First seen · 267 lines · 36 tokens per session scan A a7db217c6596
multi-model-strategy is a skill published in the GitHub repository drvoss/everything-copilot-cli (45 stars, last pushed 6d ago), licensed MIT. It adds 36 tokens to every session and 2,638 once invoked, about $0.0002 per session on Opus 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 2026-08-30.
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