Borrowing it
Nothing to install: this file belongs to CalvinTTooS/prompt-optimizer. 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/CalvinTTooS/prompt-optimizer/main/CLAUDE.mdgit clone --depth 1 https://github.com/CalvinTTooS/prompt-optimizerWrote 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/calvinttoos/prompt-optimizer/claude-md)<a href="https://agentmods.dev/instructions/calvinttoos/prompt-optimizer/claude-md"><img src="https://agentmods.dev/badge/instructions/calvinttoos/prompt-optimizer/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 | $0.03343 | $0.03343 |
| Opus 5 | $0.01672 | $0.01672 |
| Sonnet 5 | $0.00669 | $0.00669 |
| Haiku 4.5 | $0.00334 | $0.00334 |
Grade A, and why
prompt-optimizer 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 — 183 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md — prompt-optimizer
@AGENTS.md
Metodologia di sviluppo (principi stabili, validi per ogni progetto — non si
modifica senza approvazione manuale ed esplicita dell'utente): vedi
docs/METHOD.md. Questo file contiene solo le direttive
specifiche di questo progetto; va tenuto corto e ad alto segnale (fonte:
docs/prompt-engineering-best-practices.md, sezione "File di istruzioni per
agenti").
Esecuzione dei piani: per implementare un piano usa sempre
Subagent-Driven Development (superpowers:subagent-driven-development) come
default, senza chiedere all'utente di scegliere la modalità. L'unica eccezione è
quando i task sono strettamente accoppiati: in quel caso è la stessa skill a
indirizzare altrove.
Loop di auto-miglioramento (razionale: docs/METHOD.md): dopo una
correzione dell'utente, annota in lessons.md una regola (una riga +
perché); rileggi lessons.md a inizio sessione. Promuovi le lezioni stabili e
generali in docs/METHOD.md (metodo) o qui in CLAUDE.md (operativo) e rimuovile
da lessons.md — è memoria di lavoro, non un archivio.
Eleganza su modifiche non banali: prima di consolidare, chiediti se c'è un modo più semplice/elegante; se è una pezza, rifalla pulita. Salta per i fix banali (YAGNI, niente gold-plating).
Contesto del progetto
Prompt Optimizer. App desktop che prende in ingresso un prompt utente e genera fino a cinque varianti ottimizzate per diversi target AI (Claude Chat/Web, Claude Cowork, Claude Code CLI, System+User prompt, file istruzioni Gemini/GEMINI.md), tramite un modello Google Gemini fornito dall'utente con la propria API key. Include anonimizzazione PII (email, telefono, carte di credito/CCV) prima dell'invio al modello, con ripristino automatico nell'output finale. Ha inoltre una modalità "Scaffold strutturato" che genera uno scaffold completo di istruzioni per agenti (CLAUDE.md + GEMINI.md + METHOD.md + profili), compilando solo la sezione "Progetto" e scrivendolo in cartella o come ZIP.
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 · 183 lines · 3,343 tokens per session scan A 7d2dac5e07ef
prompt-optimizer CLAUDE.md is an instructions file published in the GitHub repository CalvinTTooS/prompt-optimizer (1 stars, last pushed 7d ago), licensed MIT. It adds 3,343 tokens to every session, about $0.0167 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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Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
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AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.