fix: exclude binary and large files from LLM analysis

[Makia9879]

Summary

Skip image, audio, and video files when creating LLM analysis batches.

Changes

• Add a list of supported media file extensions.
• Exclude matching media files from LLMAnalyzerBase.get_batches().
• Add regression tests for media filtering.
• Preserve existing behavior for source files and SVG content.

Verification

• 1393 passed
• 12 skipped
• 6 xfailed
• Ruff lint and formatting checks passed.

[rng1995]

[Automated SkillSpector Review]

Requesting changes because the filter uses attacker-controlled filename suffixes as a binary predicate and does not implement the PR title's large-file exclusion. A text payload named .png is removed from semantic analysis, while extensionless binaries and arbitrarily large text files are still batched. Please base skipping on inspected content or trusted metadata, define and test the size rule, and preserve scan-completeness accounting for skipped files.

[Makia9879]

@rng1995
Implemented. Media and binary files remain in the inventory but are not sent to the LLM. Detection is content-based, including renamed or extensionless media. Verified on img2threejs: 88 files found, 81 text files analyzed, and 7 GIFs (10.6 MB) excluded. Tests added.

[Makia9879]

@rng1995 The conflicts with the latest main have been resolved. The content-based media/binary filtering is now integrated with the new inspection ledger: excluded files remain in the inventory, are not sent to the LLM, and are reported as binary_content completeness events. Text disguised with media extensions and SVG content remain analyzable. Relevant tests, Ruff, and formatting checks pass. Could you please review and merge PR #307 when ready? Thank you!

[rng1995]

[Automated SkillSpector Review]

Re-review: still requesting changes. Content-based media/binary detection, inventory preservation, LLM-only caching, and completeness-ledger events resolve the filename-bypass portion of the prior review. The large-file blocker remains: _read_file_cache() reads the full file and _inspect_bytes() classifies arbitrarily large valid UTF-8 text as included. At this head, a 5,000,000-byte ASCII payload is returned as text / included and is eligible for LLM batching. Please define and enforce the advertised text-size limit before the full read/batch, record the skip in completeness metadata, and add boundary regressions.

[rng1995]

Blocking: this still reads the entire file and applies no large-text limit. A 5,000,000-byte ASCII payload is classified as text / included, so the previously requested large-file exclusion remains unimplemented. Please enforce a defined byte limit before the full read/LLM cache insertion, record the exclusion in the inspection ledger, and test just-below/at/above the boundary.