스킬 fact-check-x-complete

📦

fact-check-x-complete

Name: fact-check-x-complete
Author: asi2030

v1.1.5 콘텐츠 리비전 r1 높은 위험 🌐 네트워크 접근🔑 환경 변수📁 파일 시스템 접근⚙️ 외부 명령어⚡ 스크립트 포함

Verify AI Answers Across Multiple Platforms

AI platforms can provide conflicting claims and uneven citations. This skill captures their answers, compares facts, and produces traceable verification reports.

지원: Claude Codex Code(CC)

⚠️ 38 나쁨

Maintain this Skill? Claim it ⚠️ 38 나쁨

설치 전에 중지하고 확인을 요청하세요.

계획을 검토하고 파일을 변경하기 전에 사용자의 명시적 동의를 받으세요.

내 에이전트로 설치

이 요청을 에이전트에 복사하세요. 공식 Skill 페이지와 매니페스트가 포함되어 있습니다.

에이전트 요청

Review the Skillstore skill "fact-check-x-complete" from https://skillstore.io/skills/asi2030-fact-check-x-complete.md and its manifest at https://skillstore.io/api/skills/asi2030-fact-check-x-complete/manifest. Verify the artifact. Stop and obtain explicit user consent before installing or changing files.

에이전트는 계속해서 계획을 표시하고 보안 정책에서 요구하는 확인을 요청해야 합니다.

에이전트가 읽기 쉬운 리소스

AI 에이전트, 크롤러, 스크립트가 전체 페이지 대신 정리된 컨텍스트만 필요할 때 이 링크를 사용하세요.

Markdown 상세 GET /skills/asi2030-fact-check-x-complete.md 서명된 manifest GET /api/skills/asi2030-fact-check-x-complete/manifest 서명된 lockfile GET /api/skills/asi2030-fact-check-x-complete/lockfile

테스트해 보기

"fact-check-x-complete" 사용 중입니다. Compare two platforms on a housing policy question and stop after claim comparison.

예상 결과:

A capture report preserves both answers and citations. A comparison report separates shared claims, conflicting figures, and missing evidence.

"fact-check-x-complete" 사용 중입니다. Complete an authoritative verification for several disputed claims.

예상 결과:

A verified answer includes only claims supported by authoritative evidence.
Unresolved claims appear in a separate evidence-gap section.
A final report compares platform coverage, citation quality, and verified outcomes.

보안 감사

높은 위험

v1 • 2026. 8. 27. 버전별 보고서 열기

Most static matches are benign test fixtures, documentation, fixed-argument subprocesses, report templates, and standard integrity data. Confirmed issues include unrestricted trusted-search endpoint overrides that can redirect an API key, declared third-party query transmission, and indirect prompt-injection exposure when the host interprets captured content. Static review was capped at 400/947 representative findings; omitted static matches are unconfirmed, so automatic publishing stays disabled until manual review.

스캔된 파일

15,362

분석된 줄 수

검토 항목

오탐 무시됨

확인된 보안 우려 사항 (1)

높음

SKILL.md:174-178 SKILL.md:219-221

Indirect Prompt Injection Exposure in Collected Content

The workflow directs the host agent to interpret captured platform answers and external evidence, then write analysis files. It does not define those materials as untrusted data or instruct the agent to ignore embedded commands, so malicious content could influence analysis and subsequent tool use.

The cited workflow explicitly assigns semantic interpretation of captured answers and retrieved evidence to the host agent. The complete skill instructions contain no untrusted-content or embedded-instruction boundary.

기능 검토 항목 (9)

이 스킬에 대해 예상될 수 있는 실제 로컬 기능이므로 검토가 필요하지만, 확인된 악의적 동작으로는 집계되지 않습니다.

중간

modules/fact-check-x-authoritative-verify/scripts/authority_verify.py:110

getenv function call

endpoint = os.getenv("FACTCHECK_TRUSTED_SEARCH_URL", "https://open.dknowc.cn/dependable/search").str

The configured endpoint is used for requests carrying the trusted-search API key, but the value is not restricted to HTTPS or an approved host. A redirected endpoint could receive the credential and query.

중간

scripts/trusted_search_config.py:115

getenv function call

endpoint = os.getenv("FACTCHECK_TRUSTED_SEARCH_URL", DEFAULT_ENDPOINT).strip()

The validation endpoint can be replaced without scheme or host restrictions before the API key is transmitted. A hostile configured endpoint could collect the credential.

중간

modules/fact-check-x-authoritative-verify/scripts/authority_verify.py:110

Hardcoded URL

endpoint = os.getenv("FACTCHECK_TRUSTED_SEARCH_URL", "https://open.dknowc.cn/dependable/search").str

Although the default is HTTPS, the endpoint can be replaced without scheme or host validation before an API key is sent. This creates a credential-redirection risk.

중간

modules/fact-check-x-authoritative-verify/scripts/authority_verify.py:110

Python getenv function

endpoint = os.getenv("FACTCHECK_TRUSTED_SEARCH_URL", "https://open.dknowc.cn/dependable/search").str

중간

scripts/trusted_search_config.py:115

Python getenv function

endpoint = os.getenv("FACTCHECK_TRUSTED_SEARCH_URL", DEFAULT_ENDPOINT).strip()

The validation endpoint can be replaced without scheme or host restrictions before the API key is transmitted. A hostile configured endpoint could collect the credential.

낮음

modules/fact-check-x-authoritative-verify/scripts/authority_verify.py:114

Python HTTP libraries

request = urllib.request.Request(endpoint, data=json.dumps(payload, ensure_ascii=False).encode("utf-

This request transmits an atomic verification query and API key to the configured trusted-search service. The transfer is declared functionality, but it is a real third-party data exposure.

낮음

modules/fact-check-x-authoritative-verify/scripts/authority_verify.py:116

Python HTTP libraries

with urllib.request.urlopen(

The URL open call performs the declared outbound trusted-search request containing a query and credential header. This is intentional but remains a real network exposure.

낮음

scripts/trusted_search_config.py:122

Python HTTP libraries

request = urllib.request.Request(

The request includes the trusted-search API key and a validation query. This is expected configuration behavior, but it exposes both values to the selected endpoint.

낮음

scripts/trusted_search_config.py:129

Python HTTP libraries

with urllib.request.urlopen(

The URL open call sends the trusted-search credential to an external validation service. The action is intentional, but the network disclosure is real.

위험 요인

🌐 네트워크 접근 (50)

🔑 환경 변수 (50)

📁 파일 시스템 접근 (50)

⚙️ 외부 명령어 (50)

⚡ 스크립트 포함 (13)

감사자: codex

이 보고서 공유 및 인용

버전이 지정된 평가 보고서, 중립 배지, 임베드 카드 및 인용을 공유하세요. Skillstore는 근거를 보고하지만 이 Skill의 안전 여부를 판단하지 않습니다.

버전별 보고서 열기

보고서 링크 복사

https://skillstore.io/skills/asi2030-fact-check-x-complete/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report

Markdown 배지

[![Skillstore security assessment](https://skillstore.io/badges/skills/asi2030-fact-check-x-complete/security.svg)](https://skillstore.io/skills/asi2030-fact-check-x-complete?utm_source=security_passport_badge)

HTML 배지

<a href="https://skillstore.io/skills/asi2030-fact-check-x-complete?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/asi2030-fact-check-x-complete/security.svg" alt="Skillstore security assessment" loading="lazy"></a>

임베드 카드

<iframe src="https://skillstore.io/embed/skills/asi2030-fact-check-x-complete.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>

학술 인용 (APA · BibTeX · CFF)

APA 인용

asi2030. (2026). fact-check-x-complete security audit report (audit version 1) [Author version 1.1.5]. Skillstore. https://skillstore.io/skills/asi2030-fact-check-x-complete/audits/1

BibTeX 인용

@techreport{asi2030-asi2030-fact-check-x-complete-2026,
  author = {asi2030},
  title = {fact-check-x-complete security audit report (audit version 1)},
  institution = {Skillstore},
  year = {2026},
  number = {1},
  url = {https://skillstore.io/skills/asi2030-fact-check-x-complete/audits/1},
  note = {Author version 1.1.5}
}

CITATION.cff

cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "fact-check-x-complete security audit report (audit version 1)"
version: "1.1.5"
type: report
authors:
  - name: "asi2030"
date-released: "2026-08-27"
url: "https://skillstore.io/skills/asi2030-fact-check-x-complete/audits/1"
identifiers:
  - type: other
    value: "skillstore:asi2030-fact-check-x-complete:audit:1"
    description: "Skillstore immutable audit report identifier"

Skillstore 점수

이 점수의 이유 증거 신뢰도: 중간

아키텍처

100

유지보수성

콘텐츠

커뮤니티

사양 준수

만들 수 있는 것

Compare Research Answers

Compare answers and citations from selected AI platforms before using them in a research brief.

Audit Decision Evidence

Trace disputed operational claims to captured sources and authoritative evidence before making a business decision.

Review AI Reliability

Evaluate answer coverage, citation faithfulness, and verified accuracy across supported AI services.

이 프롬프트를 사용해 보세요

Check One Answer

Fact-check this question on DeepSeek: [question]. Capture the full answer and citations. Stop after the first report.

Compare Two Platforms

Compare DeepSeek and Doubao on this question: [question]. Show agreements, conflicts, citations, and evidence gaps.

Run Full Verification

Run the complete workflow for [question] across [platforms]. Continue through authoritative verification and deliver every staged report.

Audit a Complex Claim Set

Verify [question] across [platforms]. Split compound statements into atomic claims. Preserve conflicting evidence and exclude unresolved claims from final conclusions.

모범 사례

Choose only platforms relevant to the question and confirm each capture before continuing.
Review captured answers and citations before requesting authoritative verification.
Inspect reports for confidential information before sharing the final package.

피하기

Do not treat the unverified comparison draft as an authoritative answer.
Do not bypass failed captures with partial results or substituted search summaries.
Do not paste credentials into prompts, reports, commands, or shared artifacts.