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 skills add dewtech-technologies/dare-method --skill dare-benchgit clone --depth 1 https://github.com/dewtech-technologies/dare-methodWrote 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/dewtech-technologies/dare-method/dare-bench)<a href="https://agentmods.dev/skills/dewtech-technologies/dare-method/dare-bench"><img src="https://agentmods.dev/badge/skills/dewtech-technologies/dare-method/dare-bench/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/dewtech-technologies/dare-method/dare-bench"><img src="https://agentmods.dev/badge/skills/dewtech-technologies/dare-method/dare-bench.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00036 | $0.00162 |
| Opus 5.5 | $0.00014 | $0.00065 |
| Sonnet 5.5 | $0.00007 | $0.00032 |
| Haiku 4.5 | $0.00004 | $0.00016 |
Grade A, and why
dare-bench 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 1mo 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.
What it actually says
DARE Bench — harness de verificação
Roda fixtures versionadas com patches golden/errados; mede Fix·Rate e solve-rate. Determinístico — sem LLM.
Como rodar
dare bench --suite fixtures/bench --json
dare bench --suite fixtures/bench --baseline bench-baseline.json --fail-on-regression 3
Exit codes
0— ok (sem regressão vs baseline)1— regressão de solve-rate > limiar2— suite inválida
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.
- 1mo ago First seen · 22 lines · 36 tokens per session scan A 858c4b9f2e43
dare-bench is a skill published in the GitHub repository dewtech-technologies/dare-method (5 stars, last pushed 3mo ago), licensed MIT. It adds 36 tokens to every session and 162 once invoked, about $0.0001 per session on Opus 5.5. 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.
Other skills, from other repositories
test-driven-development
Testing discipline that adapts to user tier and task type. Rigorous RED-GREEN-REFACTOR for critical code. Invisible testing for Builder-tier users. Pragmatic skip for trivial changes. The goal is confidence that the code works, not ceremony.
confidence-based-strictness
Use when the complexity or unfamiliarity of a task should increase guardrail enforcement. Scales verification depth based on how confident the system is in the correctness of the generated code.
quality-gates
Graduated pre-commit quality checks that scale with project complexity and user tier. Level 0 for Builder-tier small projects, up to Level 4 for enterprise codebases. Thresholds configurable in architecture.md.
writing-plans
Creates bite-sized (2-5 min) implementation plans with TDD flow, quality gate checkpoints, security considerations, and performance impact notes. Plans reference architecture.md constraints.
executing-plans
Systematic task-by-task execution with TDD flow, verification checkpoints after each task, and architecture compliance checks. Updates tech debt tracker if shortcuts are taken.
verification-before-completion
Gate function — no completion claims without fresh verification evidence. Prevents shipping broken code by requiring proof that the change works.