スキル is-this-photo-real

📦

is-this-photo-real

Name: is-this-photo-real
Author: useosint

コンテンツリビジョン r1 安全 ⚙️ 外部コマンド📁 ファイルシステムへのアクセス🔑 環境変数

Verify Photo and Video Authenticity

Misleading media often pairs authentic pixels with false captions, while detector scores create false certainty. This skill prioritizes provenance, physical consistency, and transparent limits.

対応: Claude Codex Code(CC)

🥉 77 ブロンズ

Maintain this Skill? Claim it 🥉 77 ブロンズ

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 "is-this-photo-real" from https://skillstore.io/skills/useosint-is-this-photo-real.md and its manifest at https://skillstore.io/api/skills/useosint-is-this-photo-real/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.

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。

Markdown詳細 GET /skills/useosint-is-this-photo-real.md 署名済み manifest GET /api/skills/useosint-is-this-photo-real/manifest 署名済み lockfile GET /api/skills/useosint-is-this-photo-real/lockfile

テストする

「is-this-photo-real」を使用しています。 A social post says this explosion video was recorded today in City A.

期待される結果:

Conclusion: confirmed recontextualized.
An archived news page published the same skyline footage eighteen months earlier in another country.
The available copy is a platform re-encode, so signal-level authenticity tests are invalid.
Audio may be edited because a hard cut aligns with a noise-floor change.

「is-this-photo-real」を使用しています。 Determine whether this portrait is AI-generated.

期待される結果:

Conclusion: unconfirmed.
No reliable provenance was found, but absence of provenance does not prove synthesis.
Lighting and perspective remain coherent, while small background text shows localized structural errors.
Obtain the original file and compare multiple independent indicators before reaching a stronger conclusion.

「is-this-photo-real」を使用しています。 Check whether this screenshot proves the quoted account posted the message.

期待される結果:

Conclusion: the screenshot alone cannot verify authorship.
Interface layout is plausible, but screenshots can be recreated without image-editing traces.
Verify the underlying post, archived captures, account history, and platform identifiers.

セキュリティ監査

安全

v1 • 2026/8/3 バージョン別レポートを開く

All static findings are false positives from Markdown code formatting, ordinary forensic terminology, or a documentation link. No malicious intent, unsafe interpolation, prompt injection, or secret access was found.

スキャンされたファイル

677

解析済み行数

レビュー項目

誤検知を無視

リスク要因

⚙️ 外部コマンド (20)

📁 ファイルシステムへのアクセス (1)

SKILL.md:259

🔑 環境変数 (2)

SKILL.md:188 SKILL.md:200

最新の完了済み静的・セマンティック監査では、確認済みのセキュリティ検出事項は見つかりませんでした。これは、スキルに副作用がないことを証明するものではありません。

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。

バージョン別レポートを開く

レポートリンクをコピー

https://skillstore.io/skills/useosint-is-this-photo-real/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report

Markdownバッジ

[![Skillstore security assessment](https://skillstore.io/badges/skills/useosint-is-this-photo-real/security.svg)](https://skillstore.io/skills/useosint-is-this-photo-real?utm_source=security_passport_badge)

HTMLバッジ

<a href="https://skillstore.io/skills/useosint-is-this-photo-real?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/useosint-is-this-photo-real/security.svg" alt="Skillstore security assessment" loading="lazy"></a>

埋め込みカード

<iframe src="https://skillstore.io/embed/skills/useosint-is-this-photo-real.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

useosint. (2026). is-this-photo-real security audit report (audit version 1) [Author version unspecified]. Skillstore. https://skillstore.io/skills/useosint-is-this-photo-real/audits/1

BibTeX形式の引用

@techreport{useosint-useosint-is-this-photo-real-2026,
  author = {useosint},
  title = {is-this-photo-real security audit report (audit version 1)},
  institution = {Skillstore},
  year = {2026},
  number = {1},
  url = {https://skillstore.io/skills/useosint-is-this-photo-real/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: "is-this-photo-real security audit report (audit version 1)"
version: "unspecified"
type: report
authors:
  - name: "useosint"
date-released: "2026-08-03"
url: "https://skillstore.io/skills/useosint-is-this-photo-real/audits/1"
identifiers:
  - type: other
    value: "skillstore:useosint-is-this-photo-real: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

アーキテクチャ

保守性

コンテンツ

コミュニティ

仕様準拠

作成できるもの

Verify Breaking News Media

Trace earlier copies, compare captions, and test claimed locations before publishing or sharing.

Review Submitted Evidence

Assess provenance, processing history, and manipulation indicators in claims, onboarding, or evidence review.

Investigate Synthetic Media

Evaluate physical consistency, structural coherence, metadata, and detector limitations without relying on one score.

これらのプロンプトを試す

Check a Media Claim

Assess [media] against this claim: [claim]. Start with provenance, identify the best copy, and report evidence, uncertainty, and invalid tests.

Trace Earlier Publication

Verify whether [media] appeared earlier under another caption. Compare source dates, credits, archived pages, keyframes, and location clues.

Assess Manipulation

Evaluate [file] for manipulation or synthesis. Classify its processing history, then assess metadata, geometry, lighting, compression, and durable structural indicators.

Test Competing Hypotheses

Analyze [media] under authentic, recontextualized, manipulated, and synthetic hypotheses. Rank evidence, test alternatives, document assumptions, and define decisive follow-up evidence.

ベストプラクティス

State the exact claim before testing and separate each conclusion by origin, caption, location, date, manipulation, and synthesis.
Obtain the least processed copy, record its source and history, hash it, and work on duplicates.
Document negative results, invalid tests, assumptions, and evidence that could change the conclusion.

回避

Do not label media fake from one detector score, heatmap, metadata field, or visual anomaly.
Do not run signal-level tests on screenshots or platform re-encodes without explaining why results are unreliable.
Do not upload sensitive, intimate, victim, or confidential media to services that retain or publish submissions.

よくある質問

Can this skill prove a photo is real?

It can verify specific claims and evidence. It cannot prove every unseen aspect of authenticity.

Does missing metadata mean an image is fake?

No. Platforms and editing workflows often remove metadata, so absence is usually inconclusive.

Are AI-image detector scores reliable?

They are weak signals with false positives and false negatives. Never use one score as the conclusion.

Why does the workflow start with provenance?

Earlier copies and original captions often resolve false claims faster and more defensibly than pixel analysis.

Can it analyze video?

Yes. It covers keyframes, containers, encoders, frame behavior, audio consistency, provenance, and processing loss.

What is needed for the strongest assessment?

Provide the best available file, exact claim, source context, known processing history, and any original publication links.

開発者情報

作成者

useosint

ライセンス

MIT

Skillstore リビジョン

バージョンに関する注意

作者はバージョンを宣言していません。

リポジトリ

https://github.com/useosint/osint-skills/tree/06243a5620b0c9c97502edd4ee9e31995a3bdccd/skills/is-this-photo-real

参照

76c3621ba67d9236f7e0674bbf2a2ecc2696e20c

メンテナンスの新しさ

2026/8/3

利用状況

0 ダウンロード · 0 閲覧

ファイル構成

📁 reference/

📄 tool-catalogue.md

📄 verification-checklist.md

📄 SKILL.md