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 eaglesakura/agent-skills --skill workspace-agent-temporarygit clone --depth 1 https://github.com/eaglesakura/agent-skillsWrote 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/eaglesakura/agent-skills/workspace-agent-temporary)<a href="https://agentmods.dev/skills/eaglesakura/agent-skills/workspace-agent-temporary"><img src="https://agentmods.dev/badge/skills/eaglesakura/agent-skills/workspace-agent-temporary/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/eaglesakura/agent-skills/workspace-agent-temporary"><img src="https://agentmods.dev/badge/skills/eaglesakura/agent-skills/workspace-agent-temporary.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 | $0.00185 | $0.01645 |
| Opus 5 | $0.00093 | $0.00822 |
| Sonnet 5 | $0.00037 | $0.00329 |
| Haiku 4.5 | $0.00018 | $0.00164 |
Grade A, and why
workspace-agent-temporary 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 8d 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 — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Workspace / Agent Temporary
一時成果物が必要な作業では、置き場を先に決めてから書く。
ルート直下や docs/・プロダクションコードへ散らすと、後続 Agent が発見できず ignore 漏れも増える。
全体の箱（推奨レイアウト・.ai-agent/ ひな形） は workspace-layout が担う。
本 SKILL は、その箱の中で いまの作業ファイルをどこに置くか を提案する。
ベースは常に @this/.ai-agent（開いている／表記元が属するワークスペース folder 直下）である。
いつ使うか
- 一時スクリプト・ログ・抽出結果・下書き Markdown を書くとき
- 実行計画（要件・詳細設計・実装手順）を
.mdで残すとき - 「このファイルは tmp / plan / memory のどれ？」と迷ったとき
- Multi-Root で「どのルートの
.ai-agentに書くか」を決めるとき
いつ使わないか
- リポジトリ全体の推奨構成・不足ディレクトリの導入 →
workspace-layout - Memory の見出し構成・テンプレート本文 →
workspace-agent-memory-save @this自体の解決アルゴリズムだけ →workspace-resolve-root-directory
前提: .ai-agent/ の実パス（常に @this/.ai-agent）
- ディレクトリ名は
.ai-agent/（単数形） のみ - 配置ベースは常に
@this/.ai-agent。Git ルート相対で特定サブディレクトリ（例:headquarters/.ai-agent）を優先したり、別 Multi-Root folder の.ai-agentへ勝手に寄せたりしない @thisの解決はworkspace-resolve-root-directoryに従う（Multi-Root なら表記元／作業対象が属する workspace folder、単一ルートなら開いているワークスペース）- 無ければ
workspace-layoutに従い、同じ@this/.ai-agentへひな形を導入する（本 SKILL はひな形アセットを持たない）
# SCOPE = @this（workspace-resolve-root-directory で絶対パス化）
SCOPE="$(...)" # 例: Multi-Root の name=app → folders[].path が指すディレクトリ
AI_AGENT_DIR="${SCOPE}/.ai-agent"
例（架空の Multi-Root / example-monorepo.code-workspace）:
作業の属する folder（folders[].name） |
@this/.ai-agent |
|---|---|
docs |
docs-workspace/.ai-agent |
app |
../repo/example_app/.ai-agent |
example_backend |
../repo/example_backend/.ai-agent |
skills |
../repo/example-skills/.ai-agent |
配置先の提案（サブディレクトリ）
いずれも @this/.ai-agent/ 配下（上で決めた AI_AGENT_DIR）である。
パス（@this 相対） |
この作業向けの用途 |
|---|---|
.ai-agent/tmp/ |
タスク用の使い捨てファイル（*.sh *.py *.ts *.md *.txt など） |
.ai-agent/plan/ |
実行中・レビュー中の計画ファイル（*.md） |
.ai-agent/plan/done/ |
完了した計画の保管先 |
.ai-agent/memory/ |
会話コンテキスト・調査結果の Memory（書き方は workspace-agent-memory-save） |
.ai-agent/memory/done/ |
用済み Memory の保管先 |
.ai-agent/tmp/
What ships with it
1 file 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.
- 8d ago First seen · 105 lines · 185 tokens per session scan A ced9a1980b12
workspace-agent-temporary is a skill published in the GitHub repository eaglesakura/agent-skills (2 stars, last pushed 3d ago), licensed MIT. It adds 185 tokens to every session and 1,645 once invoked, about $0.0009 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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