Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/scroogy-dev/scroogy-agent-skillsnpx agentmods add skills/scroogy-dev/scroogy-agent-skills/ai-workspace-directoryWrote 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/scroogy-dev/scroogy-agent-skills/ai-workspace-directory)<a href="https://agentmods.dev/skills/scroogy-dev/scroogy-agent-skills/ai-workspace-directory"><img src="https://agentmods.dev/badge/skills/scroogy-dev/scroogy-agent-skills/ai-workspace-directory/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/scroogy-dev/scroogy-agent-skills/ai-workspace-directory"><img src="https://agentmods.dev/badge/skills/scroogy-dev/scroogy-agent-skills/ai-workspace-directory.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 | $0.00099 | $0.05722 |
| Opus 5.5 | $0.00040 | $0.02289 |
| Sonnet 5.5 | $0.00020 | $0.01144 |
| Haiku 4.5 | $0.00010 | $0.00572 |
Grade A, and why
ai-workspace-directory 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.
How it starts
The opening of the file, as written. The whole thing — 305 lines — stays where its author put it; the contents beside it link to each section on GitHub.
개요
멀티 repo가 한 워크스페이스 아래 모여있는 환경에서, 워크스페이스 루트의 로비 .ai/AI-CONTEXT.md 를 생성하거나 진단·재구성하는 스킬입니다.
ai-workspace(floor 측, 각 repo의 .ai/ 전체 구조 담당)의 자매 스킬이며, 빌딩의 안내판(directory) 역할을 합니다. 로비는 floor 안내도를 가리키는 메타 라우터일 뿐 도메인 콘텐츠를 보유하지 않습니다.
산출물의 본질
- 포함: 라우팅·색인 (어디로 가야 할지 알려주는 안내판)
- 금지: 도메인 지식 본문, 코드 스니펫, floor 상세 목차 — 이건 floor의 책임
파일 경로 규약
| 대상 | 경로 | 담당 스킬 |
|---|---|---|
| 로비 (building 안내판) | <워크스페이스 루트>/.ai/AI-CONTEXT.md |
이 스킬 |
| floor 안내도 (층별 안내도) | <워크스페이스 루트>/<repo>/.ai/AI-CONTEXT.md |
ai-workspace |
규약: 모든 AI-CONTEXT.md는 각자의 .ai/ 디렉토리 안에 있습니다. 프로젝트 루트에 직접 배치하지 않습니다.
대전제 (절대 위배 금지)
- 각 repo의 SSoT(소스 코드 또는 원본 문서)는 그 repo 안내도의 선언이 정한다. 로비는 SSoT 값을 선언하지 않는다.
- 안내도 markdown은 SSoT를 가리키는 지도이지 SSoT의 사본이 아니다.
- 로비는 라우터지 콘텐츠가 아니다. 도메인 지식 본문은 로비에 들어가지 않는다.
- 정보 충돌 시 우선순위: 각 repo의 SSoT(repo 안내도 선언: 소스 코드 또는 원본 문서) > 각 repo 안내도 > 이 안내도(상위 워크스페이스).
- 설계 원칙: 컨벤션 우선 (CoC). 멀티 repo는
<상위 워크스페이스>/<repo>컨벤션으로만 지원한다. 각 repo가 어느 상위 워크스페이스에 속하는지는<repo>/../.ai/AI-CONTEXT.md존재로 자동 판정하며, repo 측 안내도에 역참조 메타 필드(building/lobby등)를 두지 않는다 (YAGNI). 컨벤션을 벗어난 구조는 지원하지 않는다.
관련 skill
ai-workspace(자매): 각 floor의.ai/전체 구조와 floor 안내도<repo>/.ai/AI-CONTEXT.md를 생성·갱신합니다. 이 스킬은 그 위에서 building 안내판 역할을 하는 로비를 다룹니다.- 양방향 도메인 동기화:
ai-workspace-directory는 로비의Repos표에 각 repo의path/domain/keywords/status를 적고,ai-workspace는 각 repo의 안내도## 프로젝트 도메인표에 동일한domain/keywords를 적습니다. 두 값은 1:1 동기화 대상입니다 (update모드의 drift 메타 일치 검사가 이를 점검). 역참조(repo → 상위 워크스페이스)는 별도 메타 필드 없이 CoC(<repo>/../.ai/AI-CONTEXT.md존재 자동 판정)로 처리합니다.
참조 문서
- 공통 규칙:
.ai/10_rules/context-loading.md— 있으면 따르며, 이미 적재되어 있으면 재로딩하지 않습니다. - 스킬 고유 추가 참조:
- 현재 워크스페이스 루트의 기존
.ai/AI-CONTEXT.md(있을 경우 —update모드 입력) - 각 floor의
<repo>/.ai/AI-CONTEXT.md(디스크 스캔으로 존재 여부만 확인 —status판정용)
- 현재 워크스페이스 루트의 기존
- 분리 참조 파일 (
references/— 해당 단계에 도달했을 때만 읽습니다):- standard-structure.md — 산출물 표준 섹션 구조 (필수 규칙·골격·섹션별 강제 규칙·repo
status의미). 산출물 형식의 단일 출처 — init-4단계, update-2단계에서 사용 - ssot-checklist.md — SSoT 위배 패턴 진단 체크리스트 — update-1단계에서 사용
- examples.md — update 모드 출력 형식 템플릿 + init/update 완성 예시
- standard-structure.md — 산출물 표준 섹션 구조 (필수 규칙·골격·섹션별 강제 규칙·repo
What ships with it
6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 Changed 9d5fdde2566e
- 2mo ago First seen · 305 lines · 99 tokens per session scan A c46901452413
ai-workspace-directory is a skill published in the GitHub repository scroogy-dev/scroogy-agent-skills (2 stars, last pushed 2d ago), licensed Apache-2.0. It adds 99 tokens to every session and 5,722 once invoked, about $0.0004 per session on Opus 5.5. 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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