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/teamspwk/nova/jurynpx skills add TeamSPWK/nova --skill jurygit clone --depth 1 https://github.com/TeamSPWK/novaWrote 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/teamspwk/nova/jury)<a href="https://agentmods.dev/skills/teamspwk/nova/jury"><img src="https://agentmods.dev/badge/skills/teamspwk/nova/jury.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 | $0.00064 | $0.02887 |
| Opus 5 | $0.00032 | $0.01443 |
| Sonnet 5 | $0.00013 | $0.00577 |
| Haiku 4.5 | $0.00006 | $0.00289 |
Grade A, and why
jury scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 229 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Nova LLM Jury
적용 규칙 (on-demand 로드)
docs/nova-rules.md §10관찰성 계약 — 최종 합의 판정 직후jury_verdict이벤트 기록
관찰성 훅 (v5.12.0+)
합의 판정 후 반드시:
bash hooks/record-event.sh jury_verdict "$(jq -cn \
--arg cl "$CONSENSUS" \
--argjson cd "$CHANGED" \
'{consensus_level:$cl, changed_direction:$cd}')" 2>/dev/null || true
Safe-default: 기록 실패는 판정 반환에 영향 없음.
단일 LLM 심판은 위치 편향(position bias)과 장황함 편향(verbosity bias)이 있다. 다중 관점으로 평가하면 이 편향을 구조적으로 상쇄할 수 있다.
이 스킬은 3가지 모드로 호출된다:
| 모드 | 호출처 | 페르소나 |
|---|---|---|
| 코드 리뷰 | /nova:review --jury |
Correctness / Design / User |
| Plan 리뷰 | skills/deepplan Phase C (--jury 옵션) |
architect / security / qa |
| 보안 진단 (Nova 개발자 전용) | dev/commands/audit-self.md --jury (v5.23.0+) |
Red(공격자) / Blue(방어자) / Auditor(중재자) |
모드 1: 코드 리뷰
/nova:review --jury 옵션으로 활성화한다.
Jury 구성 (3인)
각 Jury는 독립 서브에이전트로 실행한다:
| Jury | 관점 | 핵심 질문 |
|---|---|---|
| Correctness | 정확성 | 코드가 요구사항대로 동작하는가? |
| Design | 설계 | 아키텍처 원칙과 일관되는가? |
| User | 사용자 | 사용자가 문제 없이 쓸 수 있는가? |
합의 프로토콜
| Jury 합의 | 최종 판정 |
|---|---|
| 3/3 PASS | PASS |
| 2/3 PASS + 1 CONDITIONAL | PASS with notes — 소수 의견 기록 |
| 2/3 PASS + 1 FAIL | CONDITIONAL — FAIL 사유 검토 필요 |
| 2/3 FAIL 이상 | FAIL |
합의와 다른 판정을 낸 Jury의 의견은 반드시 기록한다.
모드 2: Plan 리뷰
skills/deepplan Phase C에서 --jury 옵션이 지정될 때 호출된다.
호출 컨텍스트에 mode: plan 및 file: docs/plans/{slug}.md가 포함된다.
Jury 구성 (3인)
Plan 리뷰 전용 페르소나. 코드 리뷰 페르소나와 독립적이다.
| Jury | 관점 | 핵심 질문 |
|---|---|---|
| architect | 아키텍처 타당성 | Plan의 Solution이 기존 시스템과 자연스럽게 연결되는가? 확장성과 유지보수성이 고려되었는가? |
| security | 보안 경계 | 보안 경계, 권한 모델, 데이터 누출 시나리오가 Risk Map에 충분히 반영되었는가? |
| qa | 검증 가능성 | Verification Hooks의 Done 조건이 측정 가능한가? Sprint Contract 품질이 충분한가? 엣지 케이스가 누락되지 않았는가? |
Plan 리뷰 페르소나 프롬프트
architect
역할: 시니어 아키텍트.
대상: docs/plans/{slug}.md
이 Plan의 아키텍처 타당성을 검토하라:
1. Solution이 기존 시스템 구조와 자연스럽게 연결되는가?
2. 확장성 문제(트래픽 증가, 데이터 증가)가 고려되었는가?
3. 다른 시스템 컴포넌트에 미치는 영향이 누락되지 않았는가?
판정: PASS 또는 FAIL. FAIL이면 구체적 이슈를 Critic Issues 포맷으로 반환하라.
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.
- 3d ago First seen · 229 lines · 64 tokens per session scan A 8bf4806307a2
jury is a skill published in the GitHub repository TeamSPWK/nova (2 stars, last pushed 3d ago), licensed MIT. It adds 64 tokens to every session and 2,887 once invoked, about $0.0003 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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