Borrowing it
Nothing to install: this file belongs to Reederey87/multi-model-companion. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Reederey87/multi-model-companion/main/CLAUDE.mdgit clone --depth 1 https://github.com/Reederey87/multi-model-companionWrote 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/instructions/reederey87/multi-model-companion/claude-md)<a href="https://agentmods.dev/instructions/reederey87/multi-model-companion/claude-md"><img src="https://agentmods.dev/badge/instructions/reederey87/multi-model-companion/claude-md.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00633 | $0.00633 |
| Opus 5 | $0.00316 | $0.00316 |
| Sonnet 5 | $0.00127 | $0.00127 |
| Haiku 4.5 | $0.00063 | $0.00063 |
Grade A, and why
multi-model-companion CLAUDE.md 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 6d 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 — 49 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Model picking (multi-model-companion)
Drop this file into a project root (or merge into ~/.claude/CLAUDE.md) so
Claude Code prefers the companion tools correctly.
Default: use the local / cheap provider (deepseek slot — whatever you
mapped in DEEPSEEK_MODEL) for anything that fits the context you supply.
Paid subscription models (Codex, Grok) are escalations, not defaults.
Routes by use case
| Use case | Route |
|---|---|
| Code review | delegate_review(deepseek) first; add codex (tricky logic) or grok (adversarial) for high-risk diffs; anything that ships gets +1 native Claude pass |
| Implement from a written plan | delegate_patch(deepseek); codex if the spec is fuzzy or the first pass misses |
| Research synthesis | Claude gathers (web / files), then delegate_analysis(deepseek); grok to challenge, codex for accuracy |
| Tests / bulk / repetitive | deepseek via delegate_patch or compare_models(mode="tests") |
| Parallel opinions | compare_models — always include deepseek; add paid providers only when opinions materially matter |
| User-facing work (UI, copy, API design) | native Claude — not delegated |
| Hardest judgment | native Claude (strongest available) — one pass per task, never the default worker |
Escalation
- Local/cheap first, always. Escalate only on evidence: thin/wrong output, fuzzy spec, high blast radius.
codex: strong agentic executor for precise patches and hard debugging.grok: good paid cross-check / adversarial review.- Confirm live model IDs with
list_companion_models— names churn.
Rules
- Claude coordinates: decomposes, picks the model, selects context, verifies, applies, tests.
- Companion output is a proposal — review every diff line-by-line, then run format/tests/checks. Never trust the narrative.
- Bounded context only; never secrets, credentials,
.env, key material. - Companions cannot read files, run shell, or use your other MCP tools — gather first, then delegate the digest.
- Run
health_checkbefore delegation-heavy sessions. - Thinking models: keep
max_output_tokens≥ 1024 (reasoning spends budget first). Defaults when omitted: deepseek=max, grok=max, codex=high. - One model for ordinary delegation;
compare_modelsonly when independent opinions materially improve the result. - A result with
content_source: "reasoning"is leaked chain-of-thought, not an answer — retry with a largermax_output_tokens; never treat it as a deliverable.
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.
- 6d ago First seen · 49 lines · 633 tokens per session scan A fa45e22630a8
multi-model-companion CLAUDE.md is an instructions file published in the GitHub repository Reederey87/multi-model-companion (0 stars, last pushed 1mo ago), licensed MIT. It adds 633 tokens to every session, about $0.0032 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 2026-08-31.
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