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reverse-engineer-anything

REA로 배포된 앱, 바이너리, 패키지를 분석해 기능과 버전별 차이를 조사합니다. 역컴파일과 실행 중 관찰을 활용해 근거, 추론, 미확인 사항을 구분합니다.

원문원문 설명 보기

Reverse engineer native, managed, Electron/JavaScript, packaged, firmware, and browser targets with REA. Use shipped-artifact or requested runtime evidence to explain features, compare versions, decompile code, or guide a reconstruction. Skip REA for ordinary source-repository architecture analysis.

AI 평가90점/ 100설치 방법 보기

이럴 때 유용합니다

  • 배포된 앱의 기능 구현 조사
  • 앱 버전 간 동작 비교
  • 바이너리와 포함된 리소스 분석
  • 재구축을 위한 근거 수집

한국어 소개

할 수 있는 일

reverse-engineer-anything은 REA로 배포된 앱, 바이너리, 패키지, 펌웨어를 조사해 기능의 원리와 버전 간 차이를 설명합니다. Electron/JavaScript, Android, 관리형 어셈블리 등 대상에 맞는 분석 방법을 선택합니다. 역컴파일과 필요에 따른 실행 중 관찰을 활용하며 재구축을 위한 조사도 지원합니다. 결론에는 Evidence라는 근거 기록을 연결하고 관찰 사실, 추론, 미확인 사항을 구분합니다.

이럴 때 유용합니다

확보한 소스만으로 배포물의 동작을 설명하기 어렵거나 패키지 안의 코드, 설정, 리소스를 추적할 때 유용합니다. 분석 결과가 많으면 요약부터 확인하고 남은 질문에 필요한 부분을 더 살펴봅니다.

사용 예시

  • “이 ASAR을 분석해 지정한 기능의 처리 과정을 설명해 주세요.”
  • “배포된 앱의 두 버전을 비교하고 근거와 미확인 사항을 정리해 주세요.”

주의 사항

스킬 설치만으로 REA MCP 서버가 등록되거나 분석 엔진이 설치되지는 않습니다. 대상에 따라 외부 도구와 운영체제 조건이 다르며 설정 변경에는 승인이 필요합니다. 일반적인 전체 소스 저장소의 구조 조사에는 REA를 사용하지 않습니다.

이 소개문은 공개된 SKILL.md를 바탕으로 AI(OpenAI Codex)가 작성했습니다. 정확한 사양은 아래 원문을 확인하세요.

객관 평가

AI가 SKILL.md의 내용만을 근거로 4가지 관점에서 판정했습니다. 스타 수나 인기도는 판정에 넣지 않았습니다.

지시의 명확성언제 쓰고 무엇을 하는지 알 수 있는가
A양호배포물이나 실행 중 근거가 필요한 조사를 대상으로 하며 일반 소스 저장소 구조 분석은 제외합니다.
절차의 구체성절차·입출력·예시가 구체적으로 적혀 있는가
A양호대상별 도구 선택, doctor 및 setup 명령, 구체적인 CLI 대체 경로를 제시합니다.
안전성전송·삭제·명령 실행 등을 명시하고 있는가
A양호설정 변경 전에 경로와 백업을 제시하고 승인받도록 하며 대상 실행 경계도 유지하도록 합니다.
도입의 용이성필요한 도구나 API 키가 적고 적혀 있는가
B일부 부족연결 복구 절차는 있지만 대상별로 필요한 Java와 분석 엔진의 설치 절차는 제시하지 않습니다.

총점은 각 항목을 A=25점, B=15점, C=5점으로 더한 값입니다. 2026년 10월 19일 기준으로 AI(OpenAI Codex)가 판정했습니다. 참고용이므로 설치 전에 원문도 확인해 주세요.

평가가 다르다고 생각되면 재검토를 요청하기

어느 항목이 왜 다르다고 생각하는지 적어 주세요. 로그인은 필요 없습니다. SKILL.md와 대조해 평가를 다시 만들고 이곳에 반영합니다.

이 양식은 reCAPTCHA로 보호되며 Google 개인정보처리방침 및 서비스 약관이 적용됩니다.

포함된 파일(7)

  • SKILL.md23.0 KB
  • references/android-applications.md2.1 KB
  • references/connection-and-recovery.md8.6 KB
  • references/evidence-workflows.md4.8 KB
  • references/javascript-applications.md11.7 KB
  • references/native-and-artifacts.md18.5 KB
  • references/runtime-observation.md4.7 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

REA

Use REA when a claim depends on a shipped binary or package, decompilation, passive application runtime evidence, or comparison with behavior not established by available source. For ordinary analysis of a complete source repository, use normal repository tools and do not run REA readiness or provider commands.

Connect only when needed

Installing this skill supplies instructions; it does not register the REA MCP server, install analysis engines, or add tools to an already-running agent.

If REA tools are available and their registration is not known to be stale, proceed directly to the target. Do not run diagnostics or setup before every investigation. Use the connected server's actual tool list and input schemas; a skill installed from repository main may describe capabilities absent from an older npm release. Keep complete inline Evidence when that server does not advertise retained references.

If tools are absent, a call is blocked by the client, or a required provider is unavailable, read connection and recovery. Diagnose the observed blocker, continue useful supported work, and resume the original task after repair. Client approval, shell PATH, registration and engine availability have different remedies; avoid repeating setup for all of them.

  1. Diagnose without changing REA or client configuration. npx may download the package and write to npm's cache. For Codex, run npx -y rea-agents@latest doctor --client codex --json. Substitute the current supported client: claude_code, claude_desktop, codex, cursor, gemini_cli, windsurf, devin, opencode, antigravity, copilot_cli, commandcode, vscode, grok_build, omp, or grok_bot. grok_bot has no local file registration: doctor reports the Grok Bot chat step, and setup does not write mcp.json. If the client is unknown, use doctor --json and inspect its registration results before choosing a setup scope.
  2. Distinguish the reason. Missing, malformed, or stale registration needs a scoped configuration repair. An aligned registration with no tools in the active session needs a restart/reconnection; doctor cannot prove that the current agent has connected. A missing provider affects only tasks requiring that provider: static JavaScript inspection needs neither Hopper nor Ghidra, and Android inspection has separate bring-your-own JADX/Java prerequisites.
  3. For a configuration repair, prepare the read-only plan: npx -y rea-agents@latest setup --client codex --dry-run --json. Use the current client's ID, show its exact proposed paths, backups, and changes, and obtain approval before setup writes configuration or installs Hopper. Setup normally installs the matching bundled skill too; include that replacement in the reviewed plan. After approval, apply the same scope with npx -y rea-agents@latest setup --client codex --yes. Add --install-hopper only if that separate installation was needed and explicitly approved.
  4. Restart/reconnect the affected agent. Verify that REA tools actually appear in the session, then resume the original investigation. If they remain absent, inspect the client's MCP launch error rather than repeating setup.

REA setup never installs or upgrades Node.js, npm, Homebrew, Java, Ghidra, IDA, JADX, Kuna, Binwalk, or Unblob. Use existing prerequisites; do not install unrelated software to repair MCP registration. For an unsupported client, use manual stdio registration with a version-pinned rea-agents package or continue through the CLI.

A concrete CLI fallback for an operator-supplied JavaScript tree or ASAR is:

npx -y rea-agents@latest analyze-javascript-application /absolute/path/to/app --json

No MCP registration or native engine is required. Read the returned Evidence, graph, limitations, and unknowns with the same care as an MCP result; the CLI returns the Evidence record directly. This fallback does not establish that MCP is configured. Native CLI tasks still require their selected engine. Prefer an existing rea CLI. When none is installed and REA package acquisition is within the authorized scope, use npx -y rea-agents@latest in its place. Configuration repair starts with a read-only setup plan; show paths, backups and skill replacement before applying authorized changes. Preserve existing approval and target-execution boundaries. REA setup never installs or upgrades unrelated software, including Node.js, npm, Homebrew, Java, Ghidra, IDA, JADX, Kuna, Binwalk or Unblob.

Route the target first

Choose the first tool from the target the user supplied. Use open_binary for active-target native or archive workflows; target-free tools take their own explicit path or endpoint and do not need it.

  • ASAR or extracted JavaScript/Electron tree: analyze_javascript_application.

  • Archive/package member inventory (ZIP/APK/IPA/MSIX/AppX or DMG): open_binary with the supplied local path; use inspect_artifact when its graph and findings help answer the question.

  • Android APK code, classes, methods, or incoming references: inspect_android_package, then focused Android tools when advertised. Archive member inventory still uses the archive route above.

  • Managed PE/CLI assembly: inspect_managed_artifact.

  • Firmware image: inspect_firmware_regions when advertised. Use extract_firmware when extraction is requested, with a caller-selected new absolute output directory. These tools use caller-supplied Binwalk/Unblob on Linux; see the firmware guide.

  • .NET NativeAOT PE/ELF: native Ghidra analysis. Native code can yield pseudocode; consult the NativeAOT workflow in references/native-and-artifacts.md for optional metadata recovery and its supported host/layout boundary.

  • User-owned browser page already open: list_browser_targets.

  • Browser action the agent must perform (click, type, navigate): capture_browser_scenario with declared actions. See runtime observation for connect/launch and the focused follow-up browser tools.

  • Fiddler Everywhere traffic or a native .saz capture: read the Fiddler workflow. Inspect saved SAZ with inspect_web_network_capture and format: "saz"; connect Everywhere's separate MCP server for live traffic.

  • Retained HAR/SAZ/native mitmproxy/aioquic qlog capture: inspect_web_network_capture. Select original record ordinals when useful; inspect producer fields and byte/number sidecars without fetching recorded URLs or claiming live attribution. See historical captures for the exact upstream profile and credential exclusions. Qlog support starts with aioquic 1.5.0 JSON 0.3; stream coverage and endpoint loss declarations do not recover bodies or establish network loss. Prefer detail summary, then kind qlog trace/stream pages; select one trace, stream ID and direction for contribution/range pages. Facts retain all-recorded-events-before-selection scope. Other qlog layouts and PCAP correlation are unsupported.

  • User-owned Electron runtime already open: list_electron_targets. Before an electron-main Inspector attempt, check packaged fuses with inspect_electron_fuses; disabled EnableNodeCliInspectArguments means the app ignores --inspect.

  • Packet-field discovery: inspect_packet_fields searches installed protocols and field names/types before choosing fields for inspect_packet_capture. Query/page the relevant records; registrations do not establish observed traffic.

  • Recorded packet captures: inspect_packet_capture with selected TShark fields, display filters and decode-as rules. Requires Linux, util-linux prlimit and REA_TSHARK_COMMAND; see capture guide. Packet limits count input packets before filtering. Output defaults to 50 matching frames; use match_offset / match_limit for later pages, or explicit null limit for complete matching output. Preserve the source digest across pages. This does not perform live capture. For address/DNS/SNI/protocol summaries use inspect_pcap_capture with MCP detail summary, then retained kind pcap pages. Requires Wireshark 4.x tshark and capinfos, with Linux prlimit or Windows Job Objects; see packet summaries. Select an exact DNS question for address pages; page exhaustion does not prove network completeness. This reads recordings and does not acquire traffic.

  • Decoder discovery: inspect_signal_decoders searches installed decoder IDs or selected decoder help, including channels and options. Query and page the relevant details before choosing settings; this does not scan hardware.

  • Recorded logic/signal traces: decode_signal_recording with explicit decoder, channel and protocol settings. On Linux with util-linux prlimit, supply sigrok-cli 0.7.2 through REA_SIGROK_COMMAND; see recording guide. Output defaults to 50 literal lines; select annotation classes and page with line_offset / line_limit, or explicit null for all remaining output. Window counts are display lines, not annotations or samples. Preserve source digests across pages. This reads existing files; it does not acquire hardware signals.

  • Explicit local WebAssembly artifact: inspect_wasm_artifact. Supply WABT 1.0.42 through REA_WABT_BIN_DIRECTORY; retain exact byte/tool identity and decoded WAT. Select JavaScript glue and candidate paths explicitly and preserve URL/path ambiguity. No implicit fetch or target execution; WAT is not original source. See the WASM guide.

  • Explicit local EVM bytecode carrier: inspect_evm_interface with caller-selected raw or hex encoding. Preserve carrier/decoded digests and treat selectors, argument strings and mutability as inferred candidates; this performs no chain lookup or target execution. For the complete inferred interface without hex or duplicate stdout, discover support and select detail: "summary"; complete Evidence stays retained under its original identity. Use the returned parent_evidence_id for exact function or bytecode_hex/stdout/stderr pages. Candidate coverage does not establish interface completeness. See the EVM bytecode guide.

  • Embedded Go compiler, module or build-setting metadata: inspect_go_binary with the explicit local file. This built-in target-free inspection requires no Go installation or disassembler. Preserve raw module bytes and source ranges; absent metadata does not prove a binary is not Go, and unparsed text records remain explicit. See the Go binary guide.

  • Embedded cargo-auditable Rust dependency metadata: inspect_rust_binary with the explicit local ELF, PE, or thin Mach-O file. This built-in target-free inspection requires no Rust installation or disassembler. Preserve package order, dependency indices, and the section file range. A missing .dep-v0 section is null metadata, not proof the binary has no dependencies. A rustc commit hash is an inference from a read-only /rustc/<40-hex>/ path. See the Rust binary guide.

  • Explicit local SQLite database snapshot: inspect_sqlite_database. Inspect with Node.js 24.x >=24.15 or 26+ providing native SQLite limits. Read schema first (compact inventory by default), or select an exact ordinary table and columns when rows are needed. Defaults are selected-table schema and 20 rows; request schema_scope: "database" for the complete stored schema. Preserve both database and existing sibling WAL identity; row samples report truncation and have unspecified order. Use a quiescent snapshot rather than assuming a live database/WAL pair was copied atomically. See the SQLite guide.

  • Explicit Linux ELF file for offline layout, symbols, relocations or static mitigation evidence: inspect_binary_layout. This target-free operation uses caller-supplied pwntools without opening a disassembler database. Preserve its raw locations and inference/coverage limits; see the offline binary guide.

  • Supplied Linux x86-64 ELF core: inspect_recorded_crash. Read every recorded thread, raw note and source-bound register without opening a live target. Historical PIDs do not select live processes. Request include_debugger_context only when core-only mapping candidates help; see the recorded crash guide.

  • PE resource type/name/language trees and static icon group references: inspect_pe_resources with an explicit path. This portable operation requires no active target or engine; opaque payloads retain file ranges and SHA-256.

  • Native executable, library, or analysis database: open_binary, then use focused analysis tools directly; call binary_overview when metadata or inventory context is useful and available from the selected provider.

For an existing IDA MCP configuration, use open_binary with the original input binary and provider_id: "ida"; do not pass an .idb or .i64 database. The legacy attached profile binds the already-open GUI input by SHA-256 and leaves its database open. The modern headless profile creates and closes an owned private database without saving. Installation and registration reuse mrexodia/ida-pro-mcp; see the IDA provider guide. Proceed directly to analyze_function, pseudocode, or function/string searches after opening; IDA does not supply binary_overview. Consult session availability when composing broader workflows. Modern direct callers and unsupported dossier facets remain unknown; live IDA results are not replayed from snapshots.

With REA_KUNA_COMMAND configured, provider_id: "kuna" answers procedure lists, lookups, pseudocode, assembly and analyze_function from Kuna's cached whole-program export. Callers/callees use a separate body-free graph shared by the session; xrefs returns exact-address incoming sites and filters forwarding aliases. These queries and inventory lookups do not trigger a C export. Indirect targets remain unknown and can make relationship coverage partial. Reference caches expire on close; a fresh CLI process repeats the native reference walk. Typed references, CFG, raw-memory tools and annotations remain unsupported. A cold first answer can come from a single-function run (its limitations say so); assembly waits for the export. For pseudocode and assembly, raw_result.source names the cached .c/.asm file and byte span, which you may search directly instead of calling per function. See the Kuna provider guide.

If the user says only "my app" without a name, path, or target already selected for this task, ask which app before searching for artifacts. Paths in unrelated saved reports and nearby test fixtures do not select the user's target. Resolve an actual human-readable app name to one clear installed artifact when possible; ask when matches are ambiguous. Never choose an example app on the user's behalf.

In a target-free session, use open_binary to bind any archive/package or native target whose analysis tool operates on the active target. Do not call an unadvertised tool; inspect binary_session with {} and its result.tool_availability for availability reasons and remediation. Expand each group's names into entries, inheriting the inventory-level client requirements unless the group overrides them. In its closed effect and annotation vocabularies, listed flags are true and omitted known flags are false. The grouped name union is the complete tool inventory; use tools/list for canonical tool schemas. Provider candidate facts describe possible providers, while top-level session capabilities describe the current route and analysis_provider_binding names the selected provider. Do not treat those scopes as interchangeable.

Work summary-first

Start with the default result and use its inline Evidence and graph context. For a JavaScript application or ELF layout whose size is unknown or large, call analyze_javascript_application or inspect_binary_layout with "detail": "summary", then inspect the retained parent_evidence_id with inspect_analysis_view. Page module identities and select the returned node_id before requesting an item; a single file path can represent several graph roles. Do not repeat an identical analysis or rejected call without a changed input or resolved blocker. Recheck session state when a lifecycle change makes that status useful. Make a focused follow-up only when the returned result leaves a specific question unanswered.

If MCP reports resource_constraint with details.resource: "transport", call inspect_analysis_view with its reported same-session Evidence reference for a summary, one section/module, or a stable page. Use trace_application_feature once a seed is known, or call export_evidence_bundle to write the complete session to a selected path. The analysis remains complete in the ledger; avoid repeating it merely to request the same oversized response. Complete CLI JSON output also streams without a single MCP frame.

When the retained parent ID is unknown, use get_evidence_bundle with detail: "summary" and exact filters for operation, target SHA-256, analysis-profile digest or canonical procedure address. Select its returned Evidence ID for the next view instead of requesting the complete bundle. retention: "complete-record" means the whole record is stored; native value-flow truncation and unknown metadata remain separate. For an exported portable bundle, use rea inspect-evidence-bundle with JSON containing path, detail: "summary" and the same filters. Reading that file still requires validating its full contents within the local memory budget.

A client can also truncate a successful tool result without a REA transport error. Treat that preview as incomplete; use the retained parent ID for smaller views or export when the full record is needed. Do not parse the preview as canonical JSON or repeat the producer. For JavaScript, read the module-view and trace recipes before drilling into a large graph; a broad bidirectional trace can expand unrelated containment relationships even after summary analysis.

Every conclusion must distinguish observations, inferences, and unknowns. Cite Evidence IDs, preserve limitations and incomplete coverage, and never imply that static analysis observed execution. Runtime requests execute the declared target and lifecycle; do not broaden the target or action beyond those fields.

Within the user's requested investigation, call available analysis tools directly. REA does not require permission grants or per-call approval flags. The agent client can independently require approval. Follow the declared request scope and the host's actual access requirements; use the recovery guide for an observed client-policy rejection.

Plan broader investigations

For requests that span multiple features or subsystems, use a staged workflow:

  1. Turn the request into a checklist of questions and the evidence each answer needs. Resolve target identity and constraints from the conversation and workspace before asking for information again.
  2. Inspect the current REA session, artifact identity, saved analysis database, bookmarks, and prior evidence. Reuse matching state; do not open duplicate sessions or repeat identical analysis.
  3. Start with the smallest useful overview or inventory. Follow each question from its entry point through relevant data and state changes to its result. Batch related operations around a specific hypothesis, then expand only when the returned evidence leaves a concrete gap.
  4. Inspect relevant packaged resources and configuration alongside code when they affect the question. Use format-aware inventory and parsers; do not infer behavior from filenames, strings, or layout alone.
  5. Corroborate a conclusion with the evidence type it requires. Use runtime observation only when static evidence cannot answer the question and the required host runtime and OS access are available. For JavaScript behavior, run probes against the actual app through the available browser, Electron, or process capture workflow.
  6. Decompose work into independent questions. When parallel workers are available and the questions do not depend on one another, assign distinct scopes, point workers to existing evidence, and ask them to return sources, conclusions, and unresolved gaps. Otherwise, work sequentially.
  7. Keep a concise finding ledger linking each conclusion to Evidence IDs, confidence/evidence type, search boundary, and remaining unknowns. Update the shared index or investigation report so later passes can reuse results.

Before finishing, revisit the original checklist. Mark each question as answered, partially answered, or unresolved based on its evidence; keep bounded negative searches bounded, and do not describe a broad investigation as complete while required questions remain open.

Read only the relevant guide

Finish the task

Explain findings in plain language and tie them to returned evidence. When the user asks to build something, use normal coding tools and separate observed behavior from design choices. Close an opened native session with close_binary when the investigation is complete.

리뷰

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이 양식은 reCAPTCHA로 보호되며 Google 개인정보처리방침 및 서비스 약관이 적용됩니다.

같은 저장소의 스킬

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무료요약 있음AI 평가 90점

REA의 CI와 테스트 모음을 조사하여 결함을 놓치는 판정과 테스트 데이터의 차이를 검증합니다. 필요한 검출 능력을 유지하면서 실측을 바탕으로 실행 비용도 검토합니다.

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morluto/rea33.4만2026년 10월 19일 업데이트

rea-tool-design

무료요약 있음AI 평가 80점

REA 조사 도구를 설계하거나 변경할 때 담당 범위, 입출력, CLI 및 MCP 호출 규칙을 정리합니다. 조사 근거의 의미와 검증 방법을 포함한 설계안을 작성합니다.

  • 새로운 REA 조사 도구 설계
  • CLI 및 MCP 입출력 검토
  • provider 책임과 Evidence 의미 정리
morluto/rea33.4만2026년 10월 19일 업데이트

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