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harness-telemetry

harness-telemetry

Guide Observal harness registry, adapters, hooks, session delivery, reconcile, parsers, and telemetry ingest changes.

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Skill-Dokumentation

GitHub

name: harness-telemetry description: "Guide Observal harness registry, adapters, hooks, session delivery, reconcile, parsers, and telemetry ingest changes." metadata: disco-role: operating disable-model-invocation: true license: Apache 2.0

Observal Harness Telemetry

Use this sub-skill when the task touches Observal harness support, local harness scanning, config generation for observal agent pull, observal scan, observal doctor, managed hook specs, session push/reconcile, session parser dispatch, telemetry ingest acknowledgements, or layer/managed-file attribution.

Route by task

  • Adding or promoting a harness: read references/harness-support.md, then references/session-parsers.md and references/telemetry-pipeline.md before editing code.
  • Debugging missing sessions after hook installation: read references/telemetry-pipeline.md, then use the decision tree in references/troubleshooting.md.
  • Changing trace display, raw-line classification, token/model extraction, or parser registration: read references/session-parsers.md.
  • Changing scan/doctor/layer behavior: read references/harness-support.md and verify with the helper script in scripts/check_harness_registry.py.
  • Investigating CLI/API/auth/config failures owned by harness telemetry: read references/troubleshooting.md.

Boundaries

This sub-skill owns harness registry entries, CLI harness adapters, server harness adapters, hook specs, doctor patch/cleanup for telemetry hooks, session-source discovery, session push/reconcile behavior, local durable outbox behavior, server session parser registration, ingest/checkpoint/finalization semantics, and layer managed-file attribution.

Do not use this sub-skill for general Typer command hierarchy, registry component CRUD, FastAPI business routes outside ingest/config harness metadata, database migrations, web UI implementation, release/compliance workflow, or root-skill provenance/routing work unless the change directly affects harness telemetry.

Operating rules

  • Keep harness-specific logic in one CLI adapter and one server adapter; do not add broad if/elif chains to orchestrators.
  • Treat packages/observal-shared/observal_shared/harness_registry.py as the shared source of truth for harness ids, capabilities, paths, event maps, parser ids, and model catalog files.
  • Use the shared session push engine (observal_cli.hooks.session_push --harness <id>) unless a host requires a thin response bridge or native extension.
  • Keep MCP commands and remote URLs direct. Do not add telemetry wrappers or OTLP environment variables for harness support.
  • Make scan and doctor fail soft for absent harness installs, but fail loudly for malformed files only where the existing adapter contract already does so.
  • Preserve user-owned hook/config entries when doctor patching or cleanup runs; remove or rewrite only Observal-managed entries.

Fast verification entrypoint

From an Observal checkout, run:

python skills/disco/observal/sub-skills/harness-telemetry/scripts/check_harness_registry.py --repo-root . --pretty

Expected high-level signal: every registered harness has CLI/server adapter files and parser coverage; hook-spec files are expected for most harnesses, while Cursor and Pi are handled by direct doctor/extension code rather than dedicated harness_specs/*_hooks_spec.py modules.

Gespeicherte Skills