본문으로 건너뛰기
cccskills
무료GitHub에 공개

reproduce-regression

Build and run systems before and after a change, then execute the same reproduction procedure against both. Save environment details, inputs, commands, and separate logs to document observed behavior and any setup blockers.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

원문원문 설명 보기

Use when deploying before/after systems and building a live-system PoC for a regression candidate.

trailofbits/skills
설치 방법 보기

이럴 때 유용합니다

  • Compare behavior before and after a change
  • Create a portable procedure to reproduce a suspected defect
  • Record environments, commands, and execution logs
  • Document prerequisites that prevent reproduction

포함된 파일(1)

  • SKILL.md2.1 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

Reproduce a candidate

When to Use

Input: sealed preparation/discovery packages, candidate and registry assignment. Follow project guidance before target work.

When NOT to Use

Independent verification of an existing PoC; use replay.

Reproduce

  1. Read the standard and file contract. Verify inputs; read security guidance. Stop execution if prerequisites fail.
  2. Build and run actual S0/S1 with required services. Trace the candidate to a real user/attacker entry point. Build/install CLIs and libraries; exercise supported interfaces. For build findings, execute the supported build workflow.
  3. Create and execute a portable PoC against both live deployments with identical input and comparable configuration. Record whether S0 behaves correctly and S1 exhibits the claimed failure. No mocks, extracted functions or simulated systems.
  4. Save setup, tool/dependency versions, sanitized configuration, input, PoC, revisions, commands and separate logs. Record observations and false-positive checks in reproduce.json. If blocked, retain attempted setup and exact prerequisites. Build and deploy only inside your attempt directory, and list every build directory in build_dirs.
  5. Release temporary resources without deleting evidence. Record their disposition, then seal the package.

Report Back

Keep detailed evidence in the sealed package. Return only:

  • Status: complete or blocked, matching the record.
  • Record: sealed reproduce.json path, or why none was produced.
  • Result: one sentence describing observed S0/S1 behavior.
  • Blocker: missing prerequisite or required caller action, if blocked.

Completion means the experiment finished, not that the regression is confirmed.

Rationalizations to Reject

  • “The unit test proves it”: synthetic tests cannot establish a regression.

리뷰

아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.

댓글

로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.

아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.

보내면 바로 공개됩니다. 이메일 주소나 전화번호 같은 개인 정보는 쓰지 마세요. URL은 2개까지입니다.

0 / 1,000자

이 양식은 reCAPTCHA로 보호되며 Google 개인정보처리방침 및 서비스 약관이 적용됩니다.

같은 저장소의 스킬

address-sanitizer

무료

Build and test code with AddressSanitizer, a tool that detects invalid memory access during execution. Configure checks for C/C++ and unsafe Rust, investigate crash reports, and adjust settings for fuzzing, or testing with generated inputs.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Detect memory errors while fuzzing C/C++
  • Test unsafe Rust and calls to external libraries
  • Interpret an ASan crash report
trailofbits/skills7.7천2026년 10월 21일 업데이트

adjudicate-regression

무료

Assess source code and live reproduction evidence to decide whether a change introduced a regression, a newly caused defect. Record supported conclusions, exclusions, severity, and unresolved gaps in an evidence-linked decision file.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Decide whether a change introduced a new defect
  • Separate existing bugs from newly introduced defects
  • Record missing evidence and unresolved questions
trailofbits/skills7.7천2026년 10월 21일 업데이트

aflpp

무료

Sets up AFL++ to test C/C++ programs with varied generated inputs, a technique called fuzzing. Covers running tests across CPU cores, monitoring progress, reducing input collections, and reproducing crashes for investigation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Running C/C++ fuzzing across multiple CPU cores
  • Exploring further after libFuzzer progress stalls
  • Monitoring fuzzing progress and stability
trailofbits/skills7.7천2026년 10월 21일 업데이트

agentic-actions-auditor

무료

Audits GitHub Actions workflows that run AI coding agents. Traces how attacker-controlled content reaches prompts, checks permissions and sandbox settings, and reports evidence, severity, and fixes for prompt injection and related configuration risks.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Reviewing workflows that run AI coding agents
  • Tracing issue and PR content into agent prompts
  • Checking sandbox settings and user allowlists
trailofbits/skills7.7천2026년 10월 21일 업데이트

algorand-vulnerability-scanner

무료

Reviews Algorand smart contracts written in TEAL or PyTeal for 11 vulnerability patterns. Produces a complete coverage table and findings with code references, severity ratings, and suggested fixes, with optional automated checks using Tealer.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Security checks before an Algorand contract audit
  • Reviewing TEAL or PyTeal transaction validation
  • Verifying fixes for reported vulnerabilities
trailofbits/skills7.7천2026년 10월 21일 업데이트

atheris

무료

Set up Atheris to test Python code and C extensions with automatically varied inputs. It guides test harness creation, coverage tracking to explore more code, and AddressSanitizer setup for finding memory errors.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Fuzzing a Python package or parser
  • Investigating memory corruption in Python C extensions
  • Turning raw bytes into typed test arguments
trailofbits/skills7.7천2026년 10월 21일 업데이트

trailofbits의 스킬 모두 보기

이 스킬의 문제 신고