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.

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, 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.
• Retained HAR/native mitmproxy 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.
• User-owned Electron runtime already open: list_electron_targets.
• 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. See the EVM bytecode 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.

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. The tool list stays complete; availability depends on the operation, target, and host.

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

• Native binaries, managed assemblies, archives, and extraction: references/native-and-artifacts.md
• ASARs, extracted JavaScript, feature tracing, and version comparison: references/javascript-applications.md
• Android APK declarations, classes, methods, and static references: references/android-applications.md
• Passive browser/Electron observation and static/runtime reconciliation: references/runtime-observation.md
• Evidence paging, comparisons, residual unknowns, and verification: references/evidence-workflows.md

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.