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fix(scan): normalize separators before prompt-injection matching - #111
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Readers drop default-ignorable code points (soft hyphen, zero-width and bidi controls) and render U+0085 and U+FFFD as breaks, so an injection split by them slipped past the raw-text regexes. The injection rules now run on the text with those separators spaced out and with ignorables both stripped and spaced. Closes #110 Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01LzvgR3j15o75z1c1acWjYy
Hangul fillers are default-ignorable yet drawn as a blank, so a filler between words combined with a soft hyphen inside a word defeated both the stripped and the spaced candidate. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01LzvgR3j15o75z1c1acWjYy
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Closes #110
Summary
The prompt-injection rules in
content-scanner.ts(used by release scanning, GitHub import and skill detail) matched raw text, so separators that readers drop or render as spacing let an injection through. They now run on normalized candidates:\p{Default_Ignorable_Code_Point}(soft hyphen, zero-width and bidi controls, CGJ…) is checked both stripped (Ignore) and spaced (ignoreall).Only the injection rules see the normalized text; findings, other rules and
sanitizeContent(stored content) are unchanged.Verification
SKILL.mdwith a soft hyphen or NEL injection is quarantined.pnpm test: 111 files, 2217 passed / 2 skipped (before the filler follow-up); scanner + release-scan suites 50/50 after it.pnpm typecheck: clean.\p{…}/uis ES2018 and the repo targets ES2022 / Workers V8; 1.2M-char input scans in ~62 ms.Docs
docs/code-standards.mdanddocs/api-reference.md(release scan) describe the normalization.Generated by Claude Code