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/jo-duchan/tapflow/deep-researchgit clone --depth 1 https://github.com/jo-duchan/tapflowWrote 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/commands/jo-duchan/tapflow/deep-research)<a href="https://agentmods.dev/commands/jo-duchan/tapflow/deep-research"><img src="https://agentmods.dev/badge/commands/jo-duchan/tapflow/deep-research.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 | $0.00071 | $0.00427 |
| Opus 5 | $0.00036 | $0.00214 |
| Sonnet 5 | $0.00014 | $0.00085 |
| Haiku 4.5 | $0.00007 | $0.00043 |
Grade A, and why
deep-research 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 yesterday.
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
아래 문제를 깊이 분석한다: $ARGUMENTS
컨텍스트
tapflow — iOS/Android 시뮬레이터를 브라우저에서 조작하는 오픈소스 셀프호스팅 라이브러리.
TypeScript 모노레포: agent-core · ios-agent · android-agent · relay · dashboard · cli
분석 순서
1. 문제 재정의 주어진 문제를 내 언어로 재서술한다. 숨겨진 가정이나 모호한 부분을 명시적으로 드러낸다.
2. 해결 접근법 탐색 최소 3가지 접근법을 제시한다. 각 접근법마다:
- 핵심 아이디어
- 장점 / 단점 (복잡도, 성능, 정확성, 유지보수성)
3. 최선 접근법 선정 왜 이 접근법이 나머지보다 나은지 근거를 명확히 밝힌다.
4. 엣지케이스 · 실패 모드 무엇이 잘못될 수 있는가? 어떻게 방어할 것인가?
5. 구체적인 다음 단계
- 변경해야 할 핵심 파일과 위치
- 먼저 작성해야 할 테스트 케이스
- 구현 순서 (의존성 순)
규칙
- 결론으로 급하게 뛰어가지 않는다. 각 단계를 충분히 전개한다.
- 자명하지 않은 통찰을 놓치지 않는다.
- 코드 스니펫이 이해에 도움이 된다면 적극적으로 포함한다.
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.
- yesterday Changed · +2 tokens per session 9e9dc7177470
- 4d ago First seen · 39 lines · 69 tokens per session scan A 4a98e15b9b3b
deep-research is a command published in the GitHub repository jo-duchan/tapflow (583 stars, last pushed today), licensed MIT. It adds 71 tokens to every session and 427 once invoked, about $0.0004 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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