docs: more web skills + score->fix->re-score case studies#46
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…udies Expanded the from-the-web run to 123 community skills across four public repos (added anthropics/skills). Every skill was safety-scanned as inert text first — 0/123 tripped the gate, none executed. New real before->after case studies (full skill dirs, verbatim, attributed): - daydream (glebis): no frontmatter at all, 38/F/Reject -> 100/A/Ship (+62) - disk-cleanup (glebis): invalid YAML frontmatter, 50/D -> 100/A (+50) - rehydrate (glebis): <> in description, 92/A -> 100/A (+8) Each "after" is the actual re-score of the fixed skill with zero remaining findings. Kept in docs/examples; from-the-web.md now leads with a four-case table. Synced the 69 -> 123 references on the benchmark README and landing lead. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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Imports more bad skills from the web, runs them through skval, and adds the improvements to the example pages.
Safety
Expanded run to 123 community skills across 4 public repos. Every one was safety-scanned as inert text first — 0/123 tripped the gate, none executed (only SKILL.md text read; symlink artifacts skipped).
New case studies (real, verbatim, attributed —
docs/examples/skill-benchmark/)daydream(glebis)disk-cleanup(glebis)rehydrate(glebis)<>in descriptionEach was fetched as a full skill directory (so refs resolve — no single-file artifacts), scored verbatim, fixed against skval's ranked finding, and re-scored to a clean 100 (zero remaining findings).
from-the-web.mdnow leads with a four-case table (these + the existingannotate).Kept in
docs/examples(not headlined on the landing page). 69 → 123 references synced.🤖 Generated with Claude Code