Make agent-written reports drop-in ready for Kaggle Discussions#16
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daxiongshu wants to merge 3 commits into
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Make agent-written reports drop-in ready for Kaggle Discussions#16daxiongshu wants to merge 3 commits into
daxiongshu wants to merge 3 commits into
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…e paste Kaggle's discussion editor renders standard Markdown plus GFM tables and `` sizing (confirmed via the official announcement at kaggle.com/product-feedback/82853), so a research-brief.md pastes in almost unchanged. The one thing that doesn't survive unmodified is a local `` reference: Kaggle fetches whatever the target resolves to, so it needs to already be a public URL serving raw image bytes, not a local path or an HTML share/viewer page. kaggle_markdown_export.py rewrites local (non-http, non-data) image targets to `<base-url>/<same-relative-path>` and leaves everything else untouched, then `--verify` fetches each resulting URL and checks for an image/* content-type - catching the exact share-page-vs-raw-link mistake (e.g. a GitHub blob URL returns 200 text/html, not the image). Experiment: ran it against the two existing rogii-wellbore brief.md files in daxiongshu/competition-brief-demo (already public), pointing --base-url at their real raw.githubusercontent.com paths. Both rewrote cleanly (2 and 4 image refs respectively) and --verify confirmed every resulting URL returns 200 image/png. Also confirmed the tool correctly fails a broken base URL (404) and a GitHub blob URL (200 text/html) rather than false-positive passing them. Documented the workflow in research-brief.md under a new "Sharing the brief as a Kaggle discussion post" section. Co-Authored-By: Claude <noreply@anthropic.com>
…ernel workflow Two gaps surfaced writing a top-kernel report: (1) the "make it paste-ready for Kaggle" image-rewrite step lived only in research-brief.md, invisible to an agent routed to kernels.md, so local image paths shipped unfixed; (2) there was no tooling to tell a real code change from an identical stochastic rerun, which per-version scores alone cannot reveal. - SKILL.md: add a cross-cutting "Making any report paste-ready for a Kaggle post" section (always loaded) + a troubleshooting row keyed on the symptom. - kernels.md: point the report-writing step at that section; document and surface version-diffing (real change vs identical rerun; fork-by-code-hash). - scripts/diff_kernel_versions.py: new one-shot tool that downloads a kernel's versions, diffs code (ipynb/py), and labels IDENTICAL rerun vs CHANGED with +/- line counts and a shared-SHA fork/rerun detector. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
…andle the no-host case The paste-ready guidance leaned so hard on raw.githubusercontent.com that it read as "GitHub required", never enumerated host options, and — the real gap — said nothing about what to do when the user provides no public location at all. - State plainly that any public URL returning image/* bytes works (the export step hosts nothing); list working hosts (GitHub raw/Pages, S3/GCS/R2, any CDN) and non-working ones (GitHub blob pages, Drive/Dropbox share links, local paths). - Add the no-host path: don't silently ship local  paths and call it paste-ready; deliver the report with local paths, name the remaining hosting step, offer options (incl. Kaggle's manual drag-drop upload), then rewrite+verify. Applied to SKILL.md (canonical) and research-brief.md; docs only. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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Two gaps surfaced while an agent wrote a top-kernel report meant to be pasted into a Kaggle Discussion:
Reports weren't actually drop-in ready. A locally-rendered report embeds
paths that Kaggle renders as broken images. The fix (kaggle_markdown_export.py, which rewrites local image links to public raw URLs and--verifys they return image bytes) lived only inresearch-brief.md— invisible to an agent routed tokernels.md, so it shipped local paths and called it done.Correct per-version scores still can't tell you why a score moved.
kernel_archive.pyalready returns the verified LB for each version — but kernels can be stochastic, so identical code posts different scores across versions.Changes
kaggle_markdown_export.py— rewrite local image links to a public base URL +--verifythey return image bytes.diff_kernel_versions.py— builds onkernel_archive.py: pulls each version's code, diffs it (.ipynb/.py), and labelsIDENTICAL rerunvsCHANGED (+n/−m)so a score move is attributable to an edit or to noise; also flags shared-SHA reruns/forks.SKILL.md— new always-loaded "drop-in ready for Kaggle" section + troubleshooting row.kernels.md— surface both scripts and document version-diffing / fork-by-code-hash.research-brief.md— the original export-step write-up.Docs only + two self-contained scripts; no changes to existing behavior.