스킬 nice-try-gpt

📦

nice-try-gpt

Name: nice-try-gpt
Author: aleff-github

v0.2.0 콘텐츠 리비전 r2 안전 ⚙️ 외부 명령어

Harden CTF Challenges Against LLM Shortcuts

Challenge authors need to reduce shallow LLM pattern matching without making fair challenges frustrating. This skill reproduces the intended solve, selects a small resistance change, and verifies the result end to end.

지원: Claude Codex Code(CC)

🥉 77 브론즈

Maintain this Skill? Claim it 🥉 77 브론즈

내 에이전트로 설치

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

에이전트 요청

Review the Skillstore skill "nice-try-gpt" from https://skillstore.io/skills/aleff-github-nice-try-gpt.md and its manifest at https://skillstore.io/api/skills/aleff-github-nice-try-gpt/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.

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/aleff-github-nice-try-gpt.md 서명된 manifest GET /api/skills/aleff-github-nice-try-gpt/manifest 서명된 lockfile GET /api/skills/aleff-github-nice-try-gpt/lockfile

테스트해 보기

"nice-try-gpt" 사용 중입니다. An authorized web challenge exposes an object identifier in a static response, making the intended authorization weakness immediately obvious.

예상 결과:

Shortcut identified: static object disclosure. Recommended move: reveal the identifier through ordinary runtime activity, adding one observation without changing the vulnerability.

"nice-try-gpt" 사용 중입니다. A proposed transformation adds a five-step state machine and requires an unrelated protocol.

예상 결과:

Rejected by the Human Cost Gate. It adds a new exploit primitive and materially increases player effort, so the original challenge should remain unchanged.

"nice-try-gpt" 사용 중입니다. The transformed challenge starts normally, preserves the weakness, removes the static cue, and passes an end-to-end solve.

예상 결과:

TRANSFORMED PASS. The report records the baseline, selected resistance, human-cost estimate, post-change difficulty, verification result, and changed files.

보안 감사

안전

v2 • 2026. 9. 20. 버전별 보고서 열기

All 17 static detections are false positives. The command detections match Markdown backticks and status labels, while the reconnaissance detections describe CTF review criteria rather than host discovery or system probing.

스캔된 파일

269

분석된 줄 수

검토 항목

오탐 무시됨

위험 요인

⚙️ 외부 명령어 (12)

SKILL.md:34 SKILL.md:35 SKILL.md:36 SKILL.md:37 SKILL.md:73 SKILL.md:102 SKILL.md:131 SKILL.md:162 SKILL.md:174 SKILL.md:180 SKILL.md:188 SKILL.md:193

가장 최근에 완료된 정적·의미론적 감사에서 확인된 보안 발견 사항이 감지되지 않았습니다. 이는 스킬에 부작용이 없음을 증명하지 않습니다.

감사자: codex 감사 이력 보기 →

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/aleff-github-nice-try-gpt/audits/2?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report

Markdown 배지

[![Skillstore security assessment](https://skillstore.io/badges/skills/aleff-github-nice-try-gpt/security.svg)](https://skillstore.io/skills/aleff-github-nice-try-gpt?utm_source=security_passport_badge)

HTML 배지

<a href="https://skillstore.io/skills/aleff-github-nice-try-gpt?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/aleff-github-nice-try-gpt/security.svg" alt="Skillstore security assessment" loading="lazy"></a>

임베드 카드

<iframe src="https://skillstore.io/embed/skills/aleff-github-nice-try-gpt.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

aleff-github. (2026). nice-try-gpt security audit report (audit version 2) [Author version 0.2.0]. Skillstore. https://skillstore.io/skills/aleff-github-nice-try-gpt/audits/2

BibTeX 인용

@techreport{aleff-github-aleff-github-nice-try-gpt-2026,
  author = {aleff-github},
  title = {nice-try-gpt security audit report (audit version 2)},
  institution = {Skillstore},
  year = {2026},
  number = {2},
  url = {https://skillstore.io/skills/aleff-github-nice-try-gpt/audits/2},
  note = {Author version 0.2.0}
}

CITATION.cff

cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "nice-try-gpt security audit report (audit version 2)"
version: "0.2.0"
type: report
authors:
  - name: "aleff-github"
date-released: "2026-09-20"
url: "https://skillstore.io/skills/aleff-github-nice-try-gpt/audits/2"
identifiers:
  - type: other
    value: "skillstore:aleff-github-nice-try-gpt:audit:2"
    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

Review a Training Challenge

Reproduce a lab solve, identify the fastest shallow shortcut, and propose a small change that preserves the lesson.

Validate a Challenge Update

Check that a transformed challenge still starts, exposes the intended weakness, and produces the expected result.

Improve LLM-Assisted Practice

Reduce obvious model shortcuts while keeping the expected human knowledge, actions, and difficulty band stable.

이 프롬프트를 사용해 보세요

Beginner: Review the Baseline

Review this authorized CTF challenge. Record its vulnerability class, intended solve path, required knowledge, difficulty band, and clean-start procedure. Do not modify files.

Intermediate: Find the Shortcut

Using the verified baseline evidence, identify the single cheapest LLM shortcut. Explain which player-facing clue enables it and why the shortcut does not represent the intended learning objective.

Advanced: Design a Small Resistance

Choose the smallest resistance move that reduces the identified shortcut. Check the same vulnerability class, learning objective, prerequisite knowledge, and human-cost gate before proposing the change.

Expert: Verify the Transformation

Verify the transformed challenge from a clean state. Check startup, legitimate behavior, intended vulnerability, shortcut reduction, runtime success, flag isolation, and independent-solver status. Produce the required final report.

모범 사례

Start with a clean, reproducible baseline before proposing any change.
Prefer one evidence-based resistance move with one to three additional meaningful actions.
Verify the intended solve, flag isolation, and normal application behavior after every change.

피하기

Do not hide flags behind randomness, unstable behavior, or undiscoverable values.
Do not stack decoys, brute force, CAPTCHA, token flooding, or unrelated trivia.
Do not claim LLM resistance without an isolated fresh-solver check or an explicit NOT TESTED result.

자주 묻는 질문

Who should use this skill?

CTF authors, security trainers, and curriculum designers who maintain authorized challenges can use it.

Does it create new vulnerabilities?

No. It preserves the original vulnerability class and learning objective while reducing one shallow shortcut.

Can it test production systems?

Only with explicit authorization. The workflow is designed for CTFs, training labs, and authorized test systems.

How many changes should it make?

It defaults to zero or one lightweight change. A second change requires evidence and must pass the human-cost gate.

How does it verify success?

It restarts from a clean state and checks startup, normal behavior, the intended weakness, shortcut reduction, runtime success, and flag isolation.

Does self-review prove model resistance?

No. A genuinely isolated fresh solver is preferred. Without one, the report must state NOT TESTED.

개발자 세부 정보

작성자

aleff-github

라이선스

GPL-3.0-only

작성자 버전

v0.2.0

Skillstore 리비전

버전 안내

설치 가능한 콘텐츠가 변경되었지만 작성자가 선언된 버전을 업데이트하지 않았습니다.

리포지토리

https://github.com/aleff-github/nicetrygpt/tree/f162c0e168b48a99f71224683eabbc8e63f38dcc/skills/nice-try-gpt

참조

9f1a7e8b681745b04f88358f3cf08da94782cac9

유지보수 최신성

2026. 9. 20.

사용량

0 다운로드 · 0 조회

파일 구조

📁 references/

📄 resistance-patterns.md

📄 SKILL.md