スキル mantis-dedupe
📦
mantis-dedupe
コンテンツリビジョン r1 高リスク ⚙️ 外部コマンド📁 ファイルシステムへのアクセス
Consolidate Duplicate Security Findings
Repeated security findings increase review effort and can obscure regressions. This skill guides consolidation while preserving provenance, active regression candidates, and transaction history.
対応: Claude Codex Code(CC)
インストール前に停止して確認を求めてください。
計画を確認し、ファイルを変更する前にユーザーの明示的な同意を得てください。
自分のエージェントでインストール
このリクエストをエージェントにコピーしてください。正規の Skill ページとマニフェストが含まれています。
エージェントリクエスト
Review the Skillstore skill "mantis-dedupe" from https://skillstore.io/skills/google-mantis-dedupe.md and its manifest at https://skillstore.io/api/skills/google-mantis-dedupe/manifest. Verify the artifact. Stop and obtain explicit user consent before installing or changing files.エージェントは引き続き計画を提示し、セキュリティポリシーで必要な確認を求める必要があります。
エージェントが読めるリソース
AI エージェント、クローラー、スクリプトがページ全体ではなく整理されたコンテキストを必要とする場合は、これらのリンクを使ってください。
テストする
「mantis-dedupe」を使用しています。 Two findings describe the same flaw at the same line and share discovery provenance.
期待される結果:
- One primary finding retains its identifier and the highest reported severity.
- Descriptions, code paths, and history are consolidated.
- The duplicate is staged with linkage to the primary finding, and its move is logged.
「mantis-dedupe」を使用しています。 A new finding matches a resolved archived issue, but their discovery snapshots differ.
期待される結果:
- The new finding remains active.
- A possible duplicate hint references the archived finding.
- History records a possible regression; the finding is not moved to staging.
「mantis-dedupe」を使用しています。 Two findings have matching signatures and titles but identify different lines in the same file.
期待される結果:
- The findings remain separate because their line-inclusive locations differ.
- Signature agreement alone does not justify a duplicate status or staged removal.
セキュリティ監査
高リスクv1 • 2026/10/4 バージョン別レポートを開く
The 160 static alerts describe Markdown notation, legitimate workspace operations, and defensive snapshot checks rather than the alleged execution or reconnaissance threats. Semantic review found unsafe helper reuse and potential disclosure of sensitive vulnerability summaries through external embeddings. No evidence found of malicious intent or instructions to manipulate this audit.
1
スキャンされたファイル
372
解析済み行数
0
レビュー項目
0
誤検知を無視
確認済みのセキュリティ上の懸念 (2)
高
Version Comment Does Not Authenticate Reused Helpers
The skill says, "Only reuse it when the marker matches." A modified helper can retain the expected comment and execute unauthorized code.
The instructions explicitly authorize helper reuse based on a version comment and later execute it. No content-integrity verification is specified.
中
External Embeddings May Disclose Vulnerability Details
The semantic fallback embeds root-cause summaries using a configured provider, defaulting to Vertex AI. These summaries include vulnerability mechanisms and dataflow without a disclosure-approval requirement.
The instructions specify sensitive summary fields and an external default embedding provider. Actual transmission depends on configured integration; no evidence found of malicious exfiltration intent.
リスク要因
⚙️ 外部コマンド (50)
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監査者: codex
このレポートを共有・引用
バージョン付き評価レポート、中立的なバッジ、埋め込みカード、引用を共有できます。Skillstore は証拠を報告しますが、この Skill が安全かどうかは判断しません。
レポートリンクをコピー
https://skillstore.io/skills/google-mantis-dedupe/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportMarkdownバッジ
[](https://skillstore.io/skills/google-mantis-dedupe?utm_source=security_passport_badge)HTMLバッジ
<a href="https://skillstore.io/skills/google-mantis-dedupe?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/google-mantis-dedupe/security.svg" alt="Skillstore security assessment" loading="lazy"></a>埋め込みカード
<iframe src="https://skillstore.io/embed/skills/google-mantis-dedupe.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>学術引用 (APA · BibTeX · CFF)
APA形式の引用
google. (2026). mantis-dedupe security audit report (audit version 1) [Author version unspecified]. Skillstore. https://skillstore.io/skills/google-mantis-dedupe/audits/1BibTeX形式の引用
@techreport{google-google-mantis-dedupe-2026,
author = {google},
title = {mantis-dedupe security audit report (audit version 1)},
institution = {Skillstore},
year = {2026},
number = {1},
url = {https://skillstore.io/skills/google-mantis-dedupe/audits/1},
note = {Author version unspecified}
}CITATION.cff
cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "mantis-dedupe security audit report (audit version 1)"
version: "unspecified"
type: report
authors:
- name: "google"
date-released: "2026-10-04"
url: "https://skillstore.io/skills/google-mantis-dedupe/audits/1"
identifiers:
- type: other
value: "skillstore:google-mantis-dedupe:audit:1"
description: "Skillstore immutable audit report identifier"
Skillstore スコア
このスコアの理由 証拠の信頼度: 中 55
アーキテクチャ
85
保守性
87
コンテンツ
65
コミュニティ
91
仕様準拠
作成できるもの
Prepare a Security Review Queue
Consolidate repeated reports at identical locations while retaining severity, supporting details, and review history.
Preserve Regression Candidates Across Passes
Compare new findings with archived records and retain possible regressions when discovery snapshots differ.
Maintain Traceable Finding Pipelines
Process large queues with grouped comparisons, provenance checks, staged duplicates, and transaction records.
これらのプロンプトを試す
Inspect a Small Finding Queue
Review the existing findings and identify duplicate candidates. Explain the matching evidence before changing any files.
Consolidate Current-Batch Duplicates
Consolidate findings with identical line-inclusive locations and matching titles. Preserve provenance and history, stage duplicates, and summarize changes.
Compare Findings Across Snapshots
Compare current and archived findings using pairwise discovery provenance. Keep unmatched findings active and annotate regressions against resolved archived issues.
Process a Large Queue Safely
Group findings by component, verify helpers before execution, and apply snapshot-gated matching. Require approval before external embeddings and summarize staged moves.
ベストプラクティス
- Back up workspace state and review matching evidence before applying consolidation.
- Verify helper contents independently before execution; a version comment does not establish trust.
- Approve external embedding use explicitly and redact sensitive vulnerability details before transmission.
回避
- Marking findings as duplicates based only on signatures, without line-inclusive location agreement.
- Suppressing potential regressions or merging findings from different discovery versions.
- Executing existing helpers solely because their version comments match.
よくある質問
Which AI tools can use this skill?
The marketplace lists Claude, Codex, and Claude Code. Workspace file access and command execution are needed to apply merges.
Does this skill discover new vulnerabilities?
No. It consolidates existing findings and identifies possible regressions during archive comparisons. Initial auditing and patch generation are outside its scope.
Are duplicate files permanently deleted?
No. Duplicates receive status and linkage metadata, move into a staging directory, and generate transaction records.
What happens when discovery snapshots differ?
Snapshot-gated archive matches remain active with a possible duplicate hint. Resolved archived matches receive possible regression notes.
Does deduplication require an external service?
Exact matching does not inherently require external embeddings. Semantic fallback requires configured embedding infrastructure and defaults to a Vertex AI model.
Is an existing helper safe when its version matches?
No. A matching comment does not verify script contents. Independently inspect or regenerate helpers before execution.