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* fix(skills): align skill-creator validation with the runtime schema quick_validate.py rejected skills the runtime accepts and accepted skills the runtime drops: - Read SKILL.md with utf-8-sig so a BOM-prefixed file (Windows editors) is not reported as missing frontmatter. - Allow the DeerFlow frontmatter fields (argument-hint, required-secrets, secrets-autonomous, version, author) that the runtime schema accepts. - Reject empty name/description, which the loader drops. - Validate required-secrets/secrets-autonomous shapes like the runtime validator, so a malformed declaration fails before packaging. Tests cover each case in backend/tests/test_skill_creator_quick_validate.py. * fix(skills): close the remaining skill-creator parity gaps - Read SKILL.md with utf-8-sig in utils.parse_skill_md too, so a BOM file that quick_validate now accepts does not fail in run_eval/run_loop/ improve_description. - Stringify YAML keys before the unexpected-key check, so mixed non-string keys report cleanly instead of raising TypeError in sorted(). - Accept trailing whitespace on the frontmatter delimiters, matching the runtime parser. Each case has a regression test that fails on the previous commit. * fix(skills): validate allowed-tools and stop over-rejecting compatibility The reviewer found two remaining parity gaps: - allowed-tools was not validated, while the runtime parser rejects non-string list items, empty tool names, unmatched closing parentheses and unclosed quotes. Mirror those shape rules. - compatibility was rejected for non-string or >500-char values, but the runtime validator never inspects it. Drop the check so this script does not reject skills the runtime accepts. Each case has a regression test that fails on the previous commit. * fix(skills): reject unclosed parenthesized allowed-tools patterns The runtime parser raises when the scan ends with depth > 0; the quick_validate loop only checked for an unmatched closing parenthesis. Add the depth check and move the unclosed-pattern case to the rejected tests.