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 tjdrhs90/rn-launch-harness --skill rn-harness-resumegit clone --depth 1 https://github.com/tjdrhs90/rn-launch-harnessWrote 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/tjdrhs90/rn-launch-harness/rn-harness-resume)<a href="https://agentmods.dev/skills/tjdrhs90/rn-launch-harness/rn-harness-resume"><img src="https://agentmods.dev/badge/skills/tjdrhs90/rn-launch-harness/rn-harness-resume/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/tjdrhs90/rn-launch-harness/rn-harness-resume"><img src="https://agentmods.dev/badge/skills/tjdrhs90/rn-launch-harness/rn-harness-resume.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00021 | $0.00769 |
| Opus 5 | $0.00010 | $0.00385 |
| Sonnet 5 | $0.00004 | $0.00154 |
| Haiku 4.5 | $0.00002 | $0.00077 |
Grade A, and why
rn-harness-resume 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 11d 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
rn-harness-resume — 파이프라인 재개
일시정지된 파이프라인을 재개한다. 레이트 리밋, 수동 작업 완료 후 사용.
Trigger
/rn-harness --resume- 자동 재개 (hooks/stop-failure-handler.sh)
Process
Step 0: 런 워크스페이스 탐색 (Locate the run)
각 런은 격리된 폴더에 있으므로 state.md가 고정 경로에 없다. 후보를 모두 찾는다:
# 스테이징 중인 런(Phase 1–4, depth 5) + 졸업한 프로젝트(Phase 5+, depth 4) 모두 스캔
find . -maxdepth 5 \
\( -path './.rn-harness/*/docs/harness/state.md' \
-o -path './*/docs/harness/state.md' \
-o -path './docs/harness/state.md' \) 2>/dev/null
- 후보 1개 → 그 폴더가 워크스페이스.
workspace_dir로 사용. - 후보 여러 개 (여러 런이 진행/일시정지 중) → 각
state.md의run_id·current_phase·status·updated_at을 요약해 AskUserQuestion으로 어느 런을 재개할지 선택받는다. - 후보 0개 → 재개할 파이프라인 없음. 사용자에게 안내 후 종료.
선택된 워크스페이스로 cd한 뒤(이후 모든 경로는 그 안의 docs/harness/ 기준) Step 1로 진행한다.
Step 1: state.md 확인
status: paused
pause_reason: [rate_limit | manual_action | error]
next_role: [재개할 스킬]
Step 2: 재개 조건 확인
rate_limit:
- 레이트 리밋이 풀렸는지 확인
- 아직 제한 중이면 대기
manual_action:
- 사용자에게 수동 작업 완료 여부 확인
- AskUserQuestion: "수동 작업을 완료하셨나요?"
error:
- 에러 내용 확인
- 수정 가능하면 수정 후 재개
- 수정 불가하면 사용자에게 안내
Step 3: 상태 복구
status: running
pause_reason: ""
resume_attempts: N+1
updated_at: [현재 시간]
Step 4: 역할 루프 재개
next_role에 해당하는 스킬 호출.
Auto-Resume (hooks)
hooks/stop-failure-handler.sh가 레이트 리밋 감지 시:
state.md→status: paused, pause_reason: rate_limit- 리셋 시간 파싱
at명령으로 자동 재개 스케줄- macOS 알림 발송
HARD GATES
- 재개 전 반드시 런 워크스페이스를 특정하고 그 안에서 작업 (여러 런이면 사용자에게 선택받음)
- paused 상태가 아니면 재개 불가
- rate_limit인데 아직 제한 중이면 재개 금지
- manual_action인데 사용자 확인 없으면 재개 금지
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.
- 11d ago First seen · 86 lines · 21 tokens per session scan A d7c3088edad4
rn-harness-resume is a skill published in the GitHub repository tjdrhs90/rn-launch-harness (9 stars, last pushed 10d ago), licensed MIT. It adds 21 tokens to every session and 769 once invoked, about $0.0001 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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