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Command

/report

Assemble a run report — the shareable postmortem of this John run (process scorecard + manifest + outcome summary + candidate lessons), privacy-scrubbed. Use when a run wraps or a milestone ships, when the user asks "how did this run go?", "make a run report", or wants evidence

From plugin
joharnessburg
95 skills5 agents5 commands
> /plugin marketplace add kitchen-engineer42/joharnessburg
> /plugin install john@joharnessburg

Command definition

report.md
description: Assemble a run report — the shareable postmortem of this John run (process scorecard + manifest + outcome summary + candidate lessons), privacy-scrubbed. Use when a run wraps or a milestone ships, when the user asks "how did this run go?", "make a run report", or wants evidence to send a template owner. The report is the input format for template evolution; sharing is always manual.

When this command fires:

1. Run the process scorecard via Bash (add `--applied-metadata ${CLAUDE_PLUGIN_ROOT}/.applied-metadata.json` when running under an applied template — that file sits at the merged plugin's root):

   python3 "${CLAUDE_PLUGIN_ROOT}/scripts/process_scorecard.py"

On `success: false` ("No .john/ directory"), tell the user there's no workspace to report on — `/john:init` first.

Then emit the auditor manifests (idempotent, zero-token; same `--applied-metadata` note as above):

   python3 "${CLAUDE_PLUGIN_ROOT}/scripts/emit_manifests.py" --applied-metadata "${CLAUDE_PLUGIN_ROOT}/.applied-metadata.json"

This writes `<project>/.john/PROVENANCE.json` (run identity — John version, template name+version, corpus inputs, observed phases, run window) and `SELF_EVAL_MANIFEST.json` (how to re-run the scorecard, where reports live), so the finished run is legible to an external auditor and John's own evolution tooling without reading app code. A missing `.applied-metadata.json` is fine — a vanilla run emits both with template fields null. (Where a produced app wrote its *results* is template-defined; John core does not emit that manifest.)

2. Assemble the report at `<project>/.john/reports/<YYYY-MM-DD>-run-report.md`, following the format in the `skill-evolution` skill's `references/run-report-format.md` (1 page: manifest, scorecard highlights, outcome summary, candidate lessons, deviations). Create the `reports/` directory if missing. The scorecard JSON is the evidence backbone; your judgment supplies the outcome summary and the lesson selection — pick the few lessons whose `scope_guess` is `template` or `core` and whose evidence held up.

3. **Walk the scrub-and-generalize checklist** (bottom of the format reference) over the draft — the report is built to LEAVE this project, so it must carry no corpus content, client identifiers, or local filesystem paths. Restate any lesson that fails the check so it would hold for the next corpus of the domain.

4. Show the user the report path and the highlights. Remind them: sharing is manual and theirs — typically to the template's owner as evolution evidence. Nothing is ever transmitted automatically.

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@kitchen-engineer42
Ships withjoharnessburg

中文版: README_ZH.md John turns unstructured source material into a working knowledge-dense app. It keeps knowledge engineering and app building in one durable run, coordinates large per-entry fan-outs, and leaves auditable events and checkpoints on disk.

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