dare-ai

A command set for using AI providers from the terminal to enrich DARE commands. It includes checks for available providers, provider listings, and a command for running an AI-assisted operation.

In plain words
What is it for?
Use it to inspect provider configuration, list available providers, or run commands such as `reverse` with a selected provider and a facts file.
Why use it?
It gives command-line workflows a consistent way to check and select an AI provider instead of relying on an unclear or implicit setup.

Command for Claude Code

Install

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.

agentmods
npx agentmods add commands/dewtech-technologies/dare-method/dare-ai
Clone the repo
git clone --depth 1 https://github.com/dewtech-technologies/dare-method

Made for: Claude Code.

Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 122 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00000 $0.00122
Opus 5 $0.00000 $0.00061
Sonnet 5 $0.00000 $0.00024
Haiku 4.5 $0.00000 $0.00012

Measured 2d ago against content hash 84f731ede408, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

dare-ai 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 2d 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.

implementations/claude/.claude/commands/dare-ai.md · 18 lines

What it actually says

/dare-ai

Terminal-first AI providers for DARE command enrichment (dare ai doctor, dare ai providers, dare ai run).

Prefer running these in the terminal. Brownfield commands also accept --ai and --provider.

Commands

dare ai doctor
dare ai providers
dare ai run --command reverse --facts DARE/REVERSE/reverse-facts.json --provider codex

/dare-reverse · /dare-dna · /dare-execute

Changes

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.

  1. 2d ago First seen · 18 lines · 0 tokens per session scan A 84f731ede408

Subscribe to this mod's changes

dare-ai is a command published in the GitHub repository dewtech-technologies/dare-method (5 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 122 tokens. 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.