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 sonature-lab/timsquad --skill tsq-fullgit clone --depth 1 https://github.com/sonature-lab/timsquadWrote 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/sonature-lab/timsquad/tsq-full)<a href="https://agentmods.dev/skills/sonature-lab/timsquad/tsq-full"><img src="https://agentmods.dev/badge/skills/sonature-lab/timsquad/tsq-full/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/sonature-lab/timsquad/tsq-full"><img src="https://agentmods.dev/badge/skills/sonature-lab/timsquad/tsq-full.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 | $0.00197 | $0.00846 |
| Opus 5 | $0.00098 | $0.00423 |
| Sonnet 5 | $0.00039 | $0.00169 |
| Haiku 4.5 | $0.00020 | $0.00085 |
Grade A, and why
tsq-full 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
/tsq-full — Controller 경유 풀 파이프라인
Phase-Sequence-Task 전체 워크플로우를 Controller 경유로 실행한다. planning.md 기반으로 체계적 구현, 게이트 검증, Librarian 기록까지 수행하는 이유: 다단계 작업에서 각 Phase의 산출물이 다음 Phase의 입력이 되므로, 게이트로 품질을 보장하지 않으면 후속 작업에서 누적 결함이 발생하기 때문이다.
Pre-conditions
- planning.md 필수:
.timsquad/ssot/planning.md존재 확인- 없으면 → "
/tsq-decompose로 실행 계획을 먼저 생성하세요" 안내
- 없으면 → "
- SSOT 충족: PRD + requirements 최소 작성 완료
- 미충족 → "
/tsq-start로 온보딩을 먼저 진행하세요" 안내
- 미충족 → "
Protocol
- 다음 태스크 조회:
tsq nextCLI 실행 → 다음 미완료 태스크 JSON 확인all_complete→ 모든 태스크 완료. 사용자에게 안내error: planning.md not found→/tsq-decompose안내
- Controller 풀 실행 (tsq-controller Protocol 전체 수행):
tsq next가 반환한 태스크부터 순차 진행- Sequence 내 Task 위임 (Developer → QA)
- 게이트 검증: unit → integration → e2e
- Librarian 호출 (Phase 완료 시)
- Phase Memory carry-over
- Phase 완료 안내: "
/tsq-retro회고 →/clear컨텍스트 초기화"
workflow.json 갱신은 SubagentStop hook이
tsq next --complete를 자동 호출하여 처리. Phase 완료 감지는 completion-guard hook이tsq next --phase-status를 호출하여 처리.
Resumption
세션이 끊긴 후 /tsq-full을 다시 실행하면:
tsq next가 workflow.json 기반으로 다음 미완료 Task를 자동 결정- 이미 완료된 Task는 자동 스킵
- 컨텍스트 압축 후에도 phase-memory.md의 Progress 섹션에서 진행 상황 복원
vs /tsq-quick
| 항목 | /tsq-full | /tsq-quick |
|---|---|---|
| Phase-Sequence-Task | O (전체) | X (단일) |
| Controller 경유 | O | O |
| SSOT/메모리 참조 | O | O |
| 게이트 | unit → integration → e2e | unit만 |
| Librarian 호출 | O | X |
| planning.md 필요 | O | X |
Usage
/tsq-full
/tsq-full Phase 2부터 재개
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 · 71 lines · 197 tokens per session scan A 59533ab410d0
tsq-full is a skill published in the GitHub repository sonature-lab/timsquad (11 stars, last pushed 9d ago), licensed MIT. It adds 197 tokens to every session and 846 once invoked, about $0.0010 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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