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 commands/superclaude-org/superclaude_plugin/sc-recommendgit clone --depth 1 https://github.com/SuperClaude-Org/SuperClaude_PluginWrote 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/commands/superclaude-org/superclaude_plugin/sc-recommend)<a href="https://agentmods.dev/commands/superclaude-org/superclaude_plugin/sc-recommend"><img src="https://agentmods.dev/badge/commands/superclaude-org/superclaude_plugin/sc-recommend.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 | $0.00022 | $0.08500 |
| Opus 5 | $0.00011 | $0.04250 |
| Sonnet 5 | $0.00004 | $0.01700 |
| Haiku 4.5 | $0.00002 | $0.00850 |
Grade A, and why
sc:recommend 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 5d 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.
This is a copy
100% identical to sc:recommend — 234 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 1,006 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SuperClaude Intelligent Command Recommender
Purpose: Ultra-intelligent command recommendation engine - recommends the most suitable SuperClaude commands for any user input
Command Definition
/sc:sc:recommend [user request] --options [flags]
Multi-language Support
Language Detection and Translation System
language_mapping:
turkish_keywords:
machine_learning: ["machine learning", "ml", "artificial intelligence", "ai"]
website: ["website", "web site", "site", "page"]
application: ["app", "application", "program", "software"]
error: ["error", "bug", "issue", "problem"]
performance: ["performance", "speed", "fast", "optimization"]
new: ["new", "create", "build", "start", "develop"]
analysis: ["analyze", "analysis", "examine", "research"]
english_keywords:
machine learning: ["machine learning", "artificial intelligence", "ml", "ai"]
website: ["website", "site", "page", "web application"]
performance: ["performance", "speed", "optimization", "speed"]
error: ["error", "issue", "bug", "problem"]
universal_patterns:
question_words: ["how", "what", "why", "which"]
action_words: ["do", "create", "build", "develop"]
help_words: ["help", "suggest", "recommend", "learn"]
Language Detection Algorithm
def detect_language_and_translate(input_text):
turkish_chars = ['ç', 'ğ', 'ı', 'ö', 'ş', 'ü']
if any(char in input_text.lower() for char in turkish_chars):
return "tr"
english_common = ["the", "and", "is", "are", "was", "were", "will", "would", "could", "should"]
if any(word in input_text.lower().split() for word in english_common):
return "en"
return "en" # Default to English
Multi-language Examples
# Turkish examples
/sc:sc:recommend "makine öğrenmesi algoritması başlat"
/sc:sc:recommend "sitem yavaş açılıyor, ne yapayım?"
/sc:sc:recommend "yeni bir özellik eklemeliyim"
/sc:sc:recommend "hata alıyorum, çözüm bul"
# English examples
/sc:sc:recommend "I want to build ML algorithm"
/sc:sc:recommend "my website is slow, help me optimize"
/sc:sc:recommend "I need to add a new feature"
/sc:sc:recommend "getting errors, need debugging"
# Mixed language
/sc:sc:recommend "makine learning projesi yapmak istiyorum"
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.
- 5d ago First seen · 1,006 lines · 22 tokens per session scan A e3931245db54
sc:recommend is a command published in the GitHub repository SuperClaude-Org/SuperClaude_Plugin (55 stars, last pushed 14d ago), licensed MIT. It adds 22 tokens to every session and 8,500 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to sc:recommend, differing in 234 lines, and is treated as a copy.
Other commands, from other repositories
git
Git operations with intelligent commit messages and workflow optimization.
sc:recommend
Ultra-intelligent command recommendation engine - recommends the most suitable SuperClaude commands for any user input.
analyze
Comprehensive code analysis across quality, security, performance, and architecture domains.
build
Build, compile, and package projects with intelligent error handling and optimization.
design
Design system architecture, APIs, and component interfaces with comprehensive specifications.
document
Generate focused documentation for components, functions, APIs, and features.