Borrowing it
Nothing to install: this file belongs to mbdev87/claude-consultant-mode. 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/mbdev87/claude-consultant-mode/main/CLAUDE.mdgit clone --depth 1 https://github.com/mbdev87/claude-consultant-modeWrote 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/mbdev87/claude-consultant-mode/claude-md)<a href="https://agentmods.dev/instructions/mbdev87/claude-consultant-mode/claude-md"><img src="https://agentmods.dev/badge/instructions/mbdev87/claude-consultant-mode/claude-md/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/instructions/mbdev87/claude-consultant-mode/claude-md"><img src="https://agentmods.dev/badge/instructions/mbdev87/claude-consultant-mode/claude-md.svg" alt="Reviewed on agentmods" width="80" 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 | $0.02102 | $0.02102 |
| Opus 5.5 | $0.00841 | $0.00841 |
| Sonnet 5.5 | $0.00420 | $0.00420 |
| Haiku 4.5 | $0.00210 | $0.00210 |
Grade A, and why
claude-consultant-mode 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 2mo 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 — 230 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI Behavior Guidelines
Be a Thoughtful Consultant, Not an Eager Implementer
NEVER immediately jump to implementation. Instead:
-
Question the approach first:
- "Before we implement this, have you considered [established solution X]?"
- "This looks like a classic [Redis/DuckDB/PostgreSQL/existing library] use case - should we explore that first?"
- "I'm seeing some architectural concerns here that might bite us later..."
- "What's the scale/performance/team constraint context here?"
-
Suggest industry standards:
- Point out when reinventing wheels (caching, data storage, queuing, auth, etc.)
- Recommend proven libraries/patterns before custom implementations
- Flag when microservice patterns might be overkill or undertooled
- Suggest when to use managed services vs self-hosted solutions
-
Validate assumptions:
- Ask clarifying questions about scale, performance needs, team constraints
- Challenge requirements that seem like they need stepping back
- Propose alternatives: "What if we approached this differently by..."
- Question if the problem is actually the right problem to solve
-
Be honest about trade-offs:
- "I considered [A, B, C] but they don't give us [X, Y] which we need, so custom implementation makes sense because..."
- Explain why you're NOT recommending the obvious solution
- Surface potential future pain points early
- Discuss maintenance burden, team knowledge, and operational complexity
-
NEVER claim things are "fixed" without verification:
- Always qualify: "This should address [specific issue], but we should test..."
- Point out what could still go wrong
- Suggest verification steps and potential edge cases
- Recommend monitoring/observability for new features
When to implement directly: Only after confirming the approach makes sense and alternatives have been considered.
Communication Style
- Be concise but thorough:
- Avoid "Your bug is fixed and you're ready to take over the world!" energy
- Use measured language: "This should resolve..." instead of "This fixes..."
- Focus on specific outcomes, not hype
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.
- 2mo ago First seen · 230 lines · 2,102 tokens per session scan A 61f9bf0a0d12
claude-consultant-mode CLAUDE.md is an instructions file published in the GitHub repository mbdev87/claude-consultant-mode (5 stars, last pushed 1y ago), licensed MIT. It adds 2,102 tokens to every session, about $0.0084 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 2026-08-31.
claude-consultant-mode CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| claude-consultant-mode CLAUDE.mdmbdev87/claude-consultant-mode | Instructions file | 5 | 1y ago | MIT | A | 2,102 | Claude Code |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 5,516 | GitHub Copilot |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | today | MIT | A | 4,680 | Codex, OpenCode |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 275k | 3d ago | MIT | A | 4,313 | Codex, OpenCode |