edgesentry

Install, unload, and check status of the indago macOS LaunchAgents (AIS stream + R2 sync). Use when setting up a new machine, after a plist change, or to verify streams are alive and uploading.

Download and inspect the latest regional watchlists on R2 (arktrace-public or maridb-public). Use when finding demo MMSIs, checking sanctions_distance and ownership_chain, or verifying data-publish output before arktrace smoke tests.

Fetch and interpret indago data-publish metrics (P@50 email, R2 snapshots, lead time). Use after data-publish CI, when explaining metric deltas, or before updating external docs.

Run the backtracking delayed-label intelligence loop. Use when new analyst labels are available or to rewind causal reasoning on past detections.

Generate an OSINT intelligence report for a vessel or watchlist batch. Use when investigating a flagged vessel or preparing a weekly analyst report.

Run the indago 11-step data pipeline. Use when ingesting new AIS data, refreshing features, or running a full regional screening.

Run the indago test suite. Use when changing pipeline logic, scoring models, or schema contracts.

Sync processed data to Cloudflare R2 buckets. Use when publishing new Parquet partitions, updating watchlists, or preparing demo bundles.

Add a new rule to an edgesentry-rs safety profile. Use when implementing a new regulation-backed detection rule (PROXIMITY_ALERT, ZONE_ENTRY, etc.).

Deploy edgesentry-rs to a new server — TLS, PostgreSQL, S3/MinIO, systemd. Use when setting up a new deployment environment.

Build, test, and lint edgesentry-rs before committing. Use before every commit or when verifying the workspace is clean.

Scaffold a new crate in the edgesentry-rs Cargo workspace. Use when adding a new pipeline stage or utility crate.

Operate edgesentry-rs in production — check health, query metrics, run backups, restore from backup. Use when monitoring or maintaining a deployed instance.

Publish a new edgesentry-rs release to crates.io. Use when cutting a release after all tests pass.

Verify an edgesentry audit chain using the eds CLI. Use to confirm a chain is intact and a payload matches its AuditRecord.

Deploy arktrace to Cloudflare Pages and configure R2, CI, and environment variables. Use when setting up a new deployment or updating production configuration.

Download the arktrace demo dataset from R2 for local development. Use when you need sample data without running the full pipeline.

Configure the LLM provider for arktrace (OpenAI, local Ollama, or llama.cpp). Use when setting up a new environment or switching LLM providers.

Run the arktrace analyst dashboard locally. Use when developing the React frontend or verifying UI changes.

Run the arktrace shadow fleet screening pipeline for a region. Use when scoring vessels, refreshing the watchlist, or running the full pipeline end-to-end.

Run arktrace tests — pipeline unit/integration tests and frontend Vitest tests. Use before committing or when CI fails.

Run the clarus end-to-end demo pipeline (14 stages) or the document compliance / maritime security demos. Use when verifying the full pipeline or preparing a demo for reviewers.

Start the local LLM server for the clarus explain step. Use when Dispatch Brief generation fails or when the explain stage is needed in the demo.

Run the clarus Tauri desktop application locally. Use when developing or testing the GUI.

Set up clarus development environment — Rust toolchain, Node.js, Tauri CLI, and edgesentry-rs sibling checkout. Use when onboarding a new machine or when the build environment is broken.

Add or update a port call document field map. Use when adding a new form type or updating field sources.

Deploy the documaris app to Cloudflare Pages. Use when releasing a new version or verifying a deployment.

Run the documaris React/DuckDB WASM web app locally. Use when developing the app, testing form generation, or verifying changes to pipeline.ts or field maps.

Run the documaris test suite. Use when changing field maps, schemas, or pipeline logic to verify contracts are satisfied.