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/dewtech-technologies/dare-method/dare-axgit clone --depth 1 https://github.com/dewtech-technologies/dare-methodWhat 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 | $0.00000 | $0.01068 |
| Opus 5 | $0.00000 | $0.00534 |
| Sonnet 5 | $0.00000 | $0.00214 |
| Haiku 4.5 | $0.00000 | $0.00107 |
Grade A, and why
dare-ax 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.
How it starts
The opening of the file, as written. The whole thing — 132 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/dare-ax
Audita ou bootstrapa um projeto DARE com foco em Agent Experience (AX) — os sinais estruturados que agentes de código (Claude Code, Cursor, Antigravity) precisam para trabalhar sem refactor desnecessário.
Como usar
/dare-ax # audita projeto atual
/dare-ax init # cria llms.txt + .env.example + ajustes mínimos
/dare-ax openapi # valida ou gera openapi.json
/dare-ax cli # adiciona --json em comandos CLI faltantes
Os três planos AX
1. Discovery — agente acha o que precisa
llms.txtna raiz com descrição, comandos, endpointsREADME.mdcom bootstrap em 5 minutos- Estrutura de pastas previsível (
src/,tests/,docs/,DARE/)
2. Usage — agente consegue operar
openapi.jsonem/openapi.json(HTTP)- Flag
--jsonem todos os CLIs Dockerfile+docker-compose.ymlvalidados.env.exampleversionado
3. Defense — agente não quebra produção
- Rate limit (rack-attack, express-rate-limit, tower-governor, slowapi)
- Validação de input (FormRequests, Pydantic, Zod, serde+validator)
- Secrets só via env
llms.txtsem credenciais (scan no CI)
Métricas obrigatórias
| ID | Métrica | Como verificar |
|---|---|---|
| M-01 | llms.txt existe e é válido (sem secrets, seções obrigatórias) |
grep + parse |
| M-02 | openapi.json ou public/openapi.json existe |
test -f |
| M-03 | CLI suporta --json |
cli --help | grep '\-\-json' |
| M-04 | Rate limit configurado | grep pelo middleware da stack |
Falha em CI se M-01 ou M-04 falharem em produção.
O que fazer
Passo 1: Auditar o projeto
Confira na ordem:
- Existe
llms.txt? Está atualizado? - Existe
openapi.jsonse o projeto expõe HTTP? - Todos os CLIs aceitam
--json? - Existe rate limit em endpoints autenticados públicos?
.env.exampleestá versionado sem valores reais?
Passo 2: Gerar llms.txt se faltar
Use este template — preencha apenas com comandos e endpoints que existem de verdade:
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.
- 2d ago First seen · 132 lines · 0 tokens per session scan A 511c20dfb56d
dare-ax 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 1,068 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.
Other commands, from other repositories
start
SoDamAgentic 온보딩. 사용자가 /sodam-agentic:start 로 처음 시작할 때, "AI에게 제대로 일 시키는 4단계(계획→실행→검토→안전)"를 쉬운 한국어로 안내하고 안전 상태를 점검한다.
instinct-import
Import instincts from external sources.
evolve
Analyze instincts and suggest or generate evolved structures.
model-config
View or change the primary model that handles your coding work across srooter (the gateway), the route-task hooks, and Maggy. One setting, read everywhere. Stored in /.claude/model-config.json.
ox-session-review
Command "ox-session-review" from sageox/ox, covering failure-mode watch-list (read first), from the ledger root. should print 0, phase 1 — scan & score (read-only), quality buckets (first match wins) and removal candidates.
add-skill
Add a new Skill to the current plugin with proper structure.