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 Global-mindee/WAY --skill remembergit clone --depth 1 https://github.com/Global-mindee/WAYWrote 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/global-mindee/way/remember)<a href="https://agentmods.dev/skills/global-mindee/way/remember"><img src="https://agentmods.dev/badge/skills/global-mindee/way/remember/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/global-mindee/way/remember"><img src="https://agentmods.dev/badge/skills/global-mindee/way/remember.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 | $0.00062 | $0.00805 |
| Opus 5 | $0.00031 | $0.00402 |
| Sonnet 5 | $0.00012 | $0.00161 |
| Haiku 4.5 | $0.00006 | $0.00081 |
Grade A, and why
remember 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 6d 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
remember (지식 적재)
세션 중 발견한 유용한 지식을 채팅 기록에 묻어두지 않고, W.A.Y?의 알맞은 메모리 표면으로 승격시킨다.
목적
내구성 있고 재사용 가능한 지식을 올바른 적재처로 올린다. 한 곳에 전부 쏟아붓지 않는다.
W.A.Y? 적재처 매핑
| 적재처 | 용도 | 쓰기 방식 |
|---|---|---|
auto-memory (~/.claude/projects/.../memory/) + MEMORY.md 인덱스 |
세션 간 지속되는 프로젝트 사실·교훈 | 직접 쓰기 (+ MEMORY.md 1줄 인덱스 추가) |
_reference/ |
비교 노트·벤치마크·참조 산출물 | 직접 쓰기 |
logs/operations.log · logs/meta-feedback.log |
운영 이벤트·메타 피드백 | append 1줄 |
memory/ 3-Tier (public·quarantine·archive) |
결재 통과한 Tier 이동 항목 | 결재 등록만 (직접 이동 금지 — CLAUDE.md 11.) |
CLAUDE.md · rules/ |
운영 규칙·관행 변경 | 결재 등록만 (자기 정의 변경 = Critical) |
워크플로 (2단계)
1단계 — 세션 추출
- 이번 세션의 관련 발견을 모은다.
- 각 항목을 분류한다 (4분류):
- durable — 내구성 있는 프로젝트 사실
- working — 임시 작업 노트 (다음 턴용)
- preference — 운영자(사용자) 선호·지시
- duplicate/stale/conflict — 중복·낡음·충돌 정보
- 각 항목의 최적 적재처를 위 매핑표에서 제안한다.
2단계 — 교차 통합
- 적합한 메모리 표면 1곳에만 쓰거나 갱신한다 (다중 적재 금지).
- 정리가 필요한 중복·충돌을 호출해 보고한다.
- 자기 정의·규칙 변경은 직접 쓰지 않고
decisions/pending.md에 결재 등록한다.
규칙
- 전부를 한 저장소에 덤프하지 않는다.
- durable은 auto-memory, working은 임시 노트로 분리한다.
- 항목은 간결하고 실행 가능하게 유지한다.
- [UNCERTAIN] 규칙 (SVOP 정합): 불확실한 정보는 사실로 저장하지 않는다. 반드시
[UNCERTAIN]마커를 붙여 표기하거나, 5종 출처(USER/READ/BASH/WEB/MEMORY) 중 하나로 검증한 뒤 저장한다. 추측·기억 기반 사실 단정은 적재 금지.
출력
- 무엇을 저장했는가
- 어디에 저장했는가
- 발견한 중복·충돌
- 결재 등록이 필요한 항목 (있으면)
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.
- 6d ago First seen · 54 lines · 62 tokens per session scan A eb21aa4ca274
remember is a skill published in the GitHub repository Global-mindee/WAY (11 stars, last pushed 2d ago), licensed MIT. It adds 62 tokens to every session and 805 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 2026-09-03.
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