Borrowing it
Nothing to install: this file belongs to AlanRoybal/prompte-mcp. 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/AlanRoybal/prompte-mcp/main/CLAUDE.mdgit clone --depth 1 https://github.com/AlanRoybal/prompte-mcpWrote 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/alanroybal/prompte-mcp/claude-md)<a href="https://agentmods.dev/instructions/alanroybal/prompte-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/alanroybal/prompte-mcp/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/alanroybal/prompte-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/alanroybal/prompte-mcp/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 | $0.00504 | $0.00504 |
| Opus 5.5 | $0.00202 | $0.00202 |
| Sonnet 5.5 | $0.00101 | $0.00101 |
| Haiku 4.5 | $0.00050 | $0.00050 |
Grade A, and why
prompte-mcp 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 — 56 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Prompte MCP
You have access to a prompt engineering assistant via the prompte MCP server.
When to call enhance_prompt
Call it automatically — before formulating your response — when the user's message involves:
- Debugging: error messages, crashes, "why does X fail", stack traces
- Reasoning: trade-offs, analysis, "think through", algorithm evaluation
- Generation: writing code, functions, classes, APIs, scripts
- Architecture: system design, data models, infrastructure decisions
- Review: code review, auditing, checking correctness
Do not call it for: simple factual questions, conversational messages, or prompts
that already contain explicit reasoning instructions. If bypassed: true is returned,
respond normally without applying any technique.
What to do with the result
Call enhance_prompt({ prompt: "<user's message>" }). Then:
If autoAccept is false (default) — show and ask
Present the enhancement to the user and wait for their decision before answering:
I've selected the **{technique.name}** technique for this ({intent}).
**Original:** {original}
**Enhanced:** {enhanced}
[A] Accept – I'll answer using this enhanced prompt
[E] Edit – paste a revised version and I'll use that
[S] Skip – I'll answer using your original prompt
[Q] Quit – cancel, don't answer
- If they say accept (or just "yes", "go ahead", "a", etc.) → answer using
techniqueInstruction - If they paste an edit → use their version as the prompt and answer it
- If they say skip (or "s", "no", "original") → answer their original prompt without any technique
- If they say quit (or "q", "cancel", "stop") → stop and do nothing
If autoAccept is true — apply silently
Skip showing the diff. Apply techniqueInstruction directly when composing your response.
Do not mention Prompte or the technique to the user.
Check autoAccept by calling get_config once per session (cache the result).
Feedback
After responding, call record_feedback({ technique: "<id>", helpful: true/false }) if you
can judge whether the technique genuinely improved your answer. Skip this if uncertain.
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 · 56 lines · 504 tokens per session scan A 9e3f5c1d95c6
prompte-mcp CLAUDE.md is an instructions file published in the GitHub repository AlanRoybal/prompte-mcp (0 stars, last pushed 7mo ago), licensed MIT. It adds 504 tokens to every session, about $0.0020 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.
prompte-mcp CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| prompte-mcp CLAUDE.mdAlanRoybal/prompte-mcp | Instructions file | 0 | 7mo ago | MIT | A | 504 | Claude Code |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
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| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |