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 skills/shakestzd/contextune/intent-recognitionnpx skills add shakestzd/contextune --skill intent-recognitiongit clone --depth 1 https://github.com/shakestzd/contextuneWrote 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/skills/shakestzd/contextune/intent-recognition)<a href="https://agentmods.dev/skills/shakestzd/contextune/intent-recognition"><img src="https://agentmods.dev/badge/skills/shakestzd/contextune/intent-recognition.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 | $0.00072 | $0.01115 |
| Opus 5 | $0.00036 | $0.00558 |
| Sonnet 5 | $0.00014 | $0.00223 |
| Haiku 4.5 | $0.00007 | $0.00112 |
Grade A, and why
ctx:help 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 4d 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 — 140 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CTX:Help - Contextune Discovery & Usage Guide
You help users discover and understand Contextune plugin capabilities.
When to Activate
Activate when user asks:
- "What can Contextune do?"
- "How do I use this plugin?"
- "Show me Contextune examples"
- "What commands are available?"
- "Contextune documentation"
- "How does Contextune work?"
- "What is Contextune?"
Capabilities Overview
Contextune provides natural language to slash command mapping with automatic parallel development workflows.
1. Intent Detection (Automatic)
- Detects slash commands from natural language automatically
- 3-tier cascade: Keyword → Model2Vec → Semantic Router
- Adds suggestions to context for Claude to decide
- No user configuration needed
2. Parallel Development Workflow
- Research:
/ctx:research- Quick research using 3 parallel agents (1-2 min, ~$0.07) - Planning:
/ctx:plan- Create parallel development plans - Execution:
/ctx:execute- Run tasks in parallel using git worktrees - Monitoring:
/ctx:status- Check progress across worktrees - Cleanup:
/ctx:cleanup- Merge and cleanup when done
3. Auto-Discovery
- Skills automatically suggest parallelization opportunities
- Hook detects slash commands from natural language
- Zero configuration required
Natural Language Examples
Instead of memorizing slash commands, users can use natural language:
Intent Detection:
- "analyze my code" → Suggests
/sc:analyze - "review this codebase" → Suggests
/sc:analyze - "check code quality" → Suggests
/sc:analyze
Research:
- "research best React state libraries" →
/ctx:research - "what's the best database for my use case?" →
/ctx:research
Parallel Development:
- "create parallel plan for auth, dashboard, API" →
/ctx:plan - "implement features X, Y, Z" → Skill suggests
/ctx:plan
Available Commands
Research & Planning
/ctx:research- Standalone research (3 parallel agents, answers specific questions)/ctx:plan- Create parallel development plan (5 agents, comprehensive)
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.
- 4d ago First seen · 140 lines · 72 tokens per session scan A 175b4910728f
ctx:help is a skill published in the GitHub repository shakestzd/contextune (5 stars, last pushed 8mo ago), licensed MIT. It adds 72 tokens to every session and 1,115 once invoked, about $0.0004 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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