Report

Research reports

Use the current root Agent and existing sandbox/publish tools. Do not start another Agent or invent a report service. Read report-structure.md and evidence-and-export.md; for revisions also read revision.md.

Scope and preparation

1. Establish the question, audience and selected source scope. Read actual authorized sources with the current source tools; /files is working memory, not independent evidence. Observe/retain useful source footnotes. Do not invent provenance, citations, prices, coverage or confidence.
2. Respect <skill_runtime_config name="report">: template (briefing/comparison/decision), language (auto/zh-CN/en-US), length (concise/standard), audience and formats. Infer auto language from the request; the JSON must resolve to zh-CN or en-US. Concise normally has 2–4 sections, standard 4–6. Keep the actual page within the existing 12,000px QA limit; never truncate or bypass QA to force a pass.
3. Write report.source.json as a persistent Workfile, then use prepare_sandbox_workspace to stage it under the active sandbox workspace. /files and /kb are logical paths, not command paths. Skill scripts are already staged under /skills/report (or the runtime-provided physical skill root); do not copy or rewrite them. Report does not require the separate HTML Skill to be enabled.
4. New reports include explicit presentation settings described in report-structure.md: bounded mobile density, optional static contents, Office page numbers and inline or labeled source-note citations. Choose these for the requested deliverable; record them in the source before generation. Existing report revisions preserve the recovered choices. Do not patch generated CSS or copy a former HTML layout by hand: make a supported source-level setting change and regenerate all promised formats. Presentation does not increase the 12,000px budget or permit reducing Office fonts/margins to force a pass.
5. Use the strict report-local JSON documented in references/report-structure.md. Put source IDs only in each statement/cell citations array; never handwrite [S1]-style report markers in summary, paragraph, bullet or cell text, because the renderer adds them once. Validation rejects such input rather than silently deleting it. Facts require source references, analysis/recommendations are visibly labeled, and unknown/conflicting table cells are explicit. The renderer adds the analysis/recommendation label itself, so never start statement text with that label (for example 分析：, 建议：, Analysis: or [Recommendation]); validation rejects such text rather than stripping it. Only sources[].display reaches public formats; provenance stays private and uses one of the three resolvable shapes (kind: chunk | file | external) copied verbatim from /files footnotes as described in references/evidence-and-export.md; never invent ids or omit kind on a new source. Structural validation does not authenticate evidence or establish factual support; the verifier's provenance counts only classify shapes.

Execution and verification integrity

Run content verification and HTML QA as separate execute calls and retain their full result JSON. Do not pipe either command through tail, head, cat, a JSON parser, or any other command: the last process can hide the check's failure. Do not append a successful command after a failed check or suppress failure with || true. If a generation phase must combine commands, use Bash with set -euo pipefail at the beginning; retain the check outputs and inspect their results as well.

A verification or HTML QA JSON result with passed: false is a hard stop, even if execute.exitCode is zero. Report the actual failing issues and stop that attempt's downstream visual review and publication. Diagnose and correct the source or supported renderer, generate a fresh attempt, and rerun verification and QA before resuming visual checks. A visual review pass cannot override a failed structural, content or height check. In particular, never append ; echo "QA_EXIT=$?", ; true, or another successful command to a check, and never pipe the result through another process: those patterns can replace the check's actual exit code with a success.

A sandbox operation marked succeeded means the execution request completed; it does not mean the command or report passed. For commands run through execute, inspect the returned exitCode. Non-execute tools follow their existing result contracts: publication requires the committed artifact/version receipt, and revisions retain the captured CAS precondition; the publisher does not require exitCode or passed fields. Verification requires both exitCode=0 and its returned JSON passed=true; HTML QA independently requires both exitCode=0 and qa.json/its returned JSON passed=true. A pipeline's exit code, a truncated log, an older attempt's success, or generated_pending_qa is not proof. If the result JSON is missing or truncated, read the saved check result in a separate operation before proceeding. Structural checks still do not replace actual evidence and visual review.

Verify against the original prepared input path used for generation; do not point --source at the output copy of report.source.json and compare it with itself. Bind each result to the current attempt's input, output paths and final file digests. Re-run verification and QA after any content or layout change, and use only that attempt's screenshots and receipts. A final attempt cannot inherit an earlier version's passed status. Preserve failed attempts in their own directories.

If a long report exceeds the HTML height limit or fails PDF checks, record the actual failure and diagnose the input/layout. Do not delete necessary facts, source coverage, limitations, conflicting values or references merely to obtain passed=true. For any content revision, record what sections, claims, table rows and citations were added, removed or corrected, why the change serves the user's scope, and which underlying evidence was rechecked. Compare the revised report against the original scope before delivery. If complete content cannot satisfy the current bounds, report that blocker rather than silently reducing the promised deliverable.

Generate once, derive the requested formats

Choose a fresh generation directory for each attempt/version; existing directories are rejected. The same validated content generates every format. Default html,md; add DOCX/PDF only when requested. PDF conversion uses a temporary DOCX when DOCX was not requested; it does not silently add a Word deliverable.

bashCopy code
python3 /skills/report/scripts/generate_report.py --source /workspace/report.source.json --output-dir /workspace/report-v1 --formats html,md
node /skills/report/scripts/build-html.cjs /workspace/report-v1/draft.html /workspace/report-v1/report.html
python3 /skills/report/scripts/verify_report.py --source /workspace/report.source.json --output-dir /workspace/report-v1 --formats html,md
node /skills/report/scripts/qa-html.cjs /workspace/report-v1/report.html /workspace/report-v1/qa

The commands above are sequential phases, not a shell block whose last exit code certifies every phase. Execute verification and QA separately under the integrity rules above. Use actual runtime paths and exactly the selected format list in generation and verification. DOCX uses the provisioned python-docx and Noto fonts; PDF uses the provisioned LibreOffice and Poppler. HTML uses the configured SOURCEWEFT_HTML_RUNTIME and SOURCEWEFT_HTML_FONTS. Missing dependency, font, model, conversion failure, invalid input, verification failure or height overflow blocks delivery. Report the actual failure; do not install packages, change converter/provider, omit a requested format or reuse older files.

Before publishing, call existing review_html_visuals with every image path listed in the final HTML QA qa.json images array (in batches of at most 24). HTML QA slices each of the three viewports into parts no taller than 2,000 px, so a long report has several images per viewport; review all of them, checking report legibility, table overflow, sources and tail content. Never pass a hand-made full-page screenshot: a result naming an image with unsupported dimensions means rerunning HTML QA to obtain slices, not skipping the review. For DOCX/PDF, render and inspect every resulting PDF page with the provisioned LibreOffice/pdftoppm path. If DOCX is requested without PDF, a temporary PDF may be used only for visual QA and is not a deliverable. Fix concrete issues in the input/layout and regenerate in a new directory, then rerun verification and visual review. generated_pending_qa is not completion; visualReview: not_run and evidenceAuthenticated: false remain honest limitations of structural checks.

Publish

Publish only after every selected format, final QA and visual review has passed. Use artifactType=html, primary report.html, and expectedContentDigest from final HTML QA. Attach the actually generated report.md, report.docx, report.pdf as role=asset/access=artifact, only when selected. Always attach report.source.json as role=source/access=private with application/json. Do not publish draft.html, QA logs, private provenance or intermediate conversion files as public assets. Use the existing artifact publisher and version receipts; do not claim a finished deliverable before the committed artifact/version is returned.

A publish receipt with ok: true (status ready, a committed artifact/version) means the report is delivered. Do not run further self-checks, regenerate, open new drafts or republish after it unless the user asked for a revision. Summarize and finish: the final reply reports the committed version and only the checks that were completed before publishing (formats, verification, HTML QA, visual review and their actual results, plus any honest limitation such as unauthenticated evidence).

For an edit, first restore the exact version's private input using the existing named-file prepare selector as described in revision.md, capture its versionNo and recheck affected evidence. Publish with republishArtifactId and that expectedVersionNo. Never substitute the latest version or reverse-engineer private input from public HTML.