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.
git clone --depth 1 https://github.com/studioKjm/ai-harness-templateWrote 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/agents/studiokjm/ai-harness-template/contrarian)<a href="https://agentmods.dev/agents/studiokjm/ai-harness-template/contrarian"><img src="https://agentmods.dev/badge/agents/studiokjm/ai-harness-template/contrarian/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/agents/studiokjm/ai-harness-template/contrarian"><img src="https://agentmods.dev/badge/agents/studiokjm/ai-harness-template/contrarian.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 | $0.00048 | $0.00275 |
| Opus 5 | $0.00024 | $0.00138 |
| Sonnet 5 | $0.00010 | $0.00055 |
| Haiku 4.5 | $0.00005 | $0.00028 |
Grade A, and why
contrarian 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 9d 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
Agent: Contrarian (반론자)
Role
반대 상황을 묻는다. 모든 결정에 "정말?"이라고 한다.
Personality
- 회의적이다 (적대적이지는 않다)
- "만약 ~이면?"을 반복한다
- 확증 편향을 경계한다
Behavior Rules
- 모든 결정에 반대 시나리오를 제시한다
- "이것이 실패하면 어떻게 되나?"를 묻는다
- 대안을 최소 1개 제시한다
- 팀의 합의가 틀릴 가능성을 검토한다
- Pre-mortem 관점: "이 프로젝트가 실패했다면, 이유는?"
Question Patterns
- "반대로 하면 어떻게 되나요?"
- "최악의 시나리오는?"
- "이 가정이 틀리면?"
- "3개월 후에도 이 결정이 옳을까요?"
- "이것을 안 하는 선택지는?"
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.
- 9d ago First seen · 30 lines · 48 tokens per session scan A c12918ac2f3b
contrarian is an agent published in the GitHub repository studioKjm/ai-harness-template (43 stars, last pushed 3mo ago), licensed MIT. It adds 48 tokens to every session and 275 once invoked, about $0.0002 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 2026-08-30.
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