Atlas / Skills / affaan-m / Deep Research

Deep ResearchSAFE

skills/affaan-m/deep-research

The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.

Verdict
SAFE
Grade
B
Trust score
89 /100
Version
—
Hosts
—
License
MIT
Stars
263,042
01

Overview

The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.

Read from source at commit bd656e3e97c4OBSERVED · 2026-09-20
02

What it tells the agent

The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.

---
name: deep-research
description: コンテキスト深い研究を実施し、複雑なテーマについての権威ある答えを生成します。複数のソースをキュレート、相互参照、合成してコンテキスト内の完全な画像を構築します。
origin: ECC
---

# ディープ リサーチ

複雑なテーマについて複数のソースをキュレート、交差参照、合成して権威ある答えを生成します。

## 使用時期

- ユーザーが「Xについて詳しく調べてくれ」と求める
- トレードオフ分析、選択肢の比較
- 市場調査、競合分析
- 技術的な深掘り(フレームワーク、言語、ツール)
- 複数の権限筋からの情報を必要とする質問

## ワークフロー

1. **質問を拡張** - キュレートするトピックと質問の軸を特定
2. **複数のソースをスキャン** - Exa、GitHub、arXiv、論文、ブログ、ドキュメント
3. **データを合成** - テーマごとにノートを整理、共通パターンを特定
4. **メリット/デメリット表を構築** - トレードオフを明確に表示
5. **権威ある答えを構築** - コンテキスト内の完全な画像を提示

## 出力形式

- 要約(2-3段落)
- 重要な発見(箇条書き)
- メリット/デメリット表
- 推奨事項またはベストプラクティス
- ソース参考文献
03

Trust audit

SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.

LayerWhat it checksResult
L0Provenance & inventoryPASS
L1Static analysis of the codeNA
L2Instruction surface (what it tells the agent)PASS
L3Class-specific surfacePASS
L4Behavioural (sandbox)SKIPPED

What the source does

Filesystem
none-observed
Network
none-observed
Shell
none-observed
Dependencies
pinned
Secrets in source
none-found

Findings (0)

No findings outside the package's declared scope.

Gates applied: no_behavioural_pass.

Audited 2026-09-20 · audit v0.4.1 · source sha bd656e3e97c4full audit observations/trust-audit/skill/affaan-m__deep-research.json · Report an issue / request a re-scan
04

Audit history

Every audit this skill has had.

DateSourceVerdictGradeScoreChange
2026-09-20bd656e3e97c4SAFEB89first audit
05

Questions

What does the Deep Research skill do?

The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.

Is Deep Research safe to install?

The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.

What can Deep Research access on my machine?

The audit observed no filesystem, network or shell use at all in its source.

How current is this page?

The grade is for one exact copy of the source (bd656e3e97c4), read on 2026-09-20. The repository is watched, and a new audit runs when it changes — this is the first audit.

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