REA의 분석 처리와 캐시 설계를 검토합니다. 결과의 정확성과 근거 접근성을 유지하면서 처리 시간, CPU, 메모리, 에이전트가 다루는 정보량을 개선합니다.
- 분석 처리가 느린 원인 조사
- 캐시 설계 검토
- CPU와 메모리 부하 절감
REA로 배포된 앱, 바이너리, 패키지를 분석해 기능과 버전별 차이를 조사합니다. 역컴파일과 실행 중 관찰을 활용해 근거, 추론, 미확인 사항을 구분합니다.
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.
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.
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.
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.
AI가 SKILL.md의 내용만을 근거로 4가지 관점에서 판정했습니다. 스타 수나 인기도는 판정에 넣지 않았습니다.
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.
설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
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.
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.
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.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.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.
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.
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.
For requests that span multiple features or subsystems, use a staged workflow:
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.
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.
아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.
로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.
아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.
REA의 분석 처리와 캐시 설계를 검토합니다. 결과의 정확성과 근거 접근성을 유지하면서 처리 시간, CPU, 메모리, 에이전트가 다루는 정보량을 개선합니다.
REA의 Git 이력을 특정 버전으로 고정해 변경 이력과 릴리스 노트를 정리합니다. 기여자 감사 표기를 검증하고 Release Please의 공개 본문과 일치하는지 확인합니다.
REA의 CI와 테스트 모음을 조사하여 결함을 놓치는 판정과 테스트 데이터의 차이를 검증합니다. 필요한 검출 능력을 유지하면서 실측을 바탕으로 실행 비용도 검토합니다.
REA 조사 도구를 설계하거나 변경할 때 담당 범위, 입출력, CLI 및 MCP 호출 규칙을 정리합니다. 조사 근거의 의미와 검증 방법을 포함한 설계안을 작성합니다.