Bump version to 0.3.5: exclude SUBMISSIONS.md from ClawHub to fix suspicious flag

SUBMISSIONS.md contained example API key strings (sk-proj-...) that triggered
ClawHub's security scanner. Added to .clawhubignore along with references/.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

Author: haowu77

.clawhubignore

@@ -23,3 +23,5 @@ CHANGELOG.md
 CONTRIBUTING.md
 CODE_OF_CONDUCT.md
 LICENSE
+SUBMISSIONS.md
+references/

SKILL.md

@@ -8,7 +8,7 @@ description: >-
   data and applies blur/fill redaction overlays. Supports GDPR and
   compliance workflows, secret detection, and data loss prevention (DLP).
   All processing runs 100% locally and offline — no data leaves your machine.
-version: 0.3.4
+version: 0.3.5
 license: MIT
 compatibility: Requires tesseract OCR, Python 3.10+, and pre-installed privacy-mask CLI.
 metadata:

marketplace.json

@@ -4,7 +4,7 @@
       "name": "privacy-mask",
       "repo": "fullstackcrew-alpha/privacy-mask",
       "description": "Auto-mask sensitive info in images before AI upload. 100% local, 47 regex rules, dual OCR engine.",
-      "version": "0.3.4",
+      "version": "0.3.5",
       "keywords": ["privacy", "pii", "masking", "redaction", "security", "ocr", "screenshot", "sensitive-data", "data-protection", "offline", "local", "claude-code", "api-keys", "secrets"]
     }
   ]

mask_engine/__init__.py

@@ -1,6 +1,6 @@
 """Local Image Privacy Mask Engine."""
 
-__version__ = "0.3.4"
+__version__ = "0.3.5"
 
 from .ocr import OcrResult, run_ocr
 from .detector import Detection, detect_sensitive

pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "privacy-mask"
-version = "0.3.4"
+version = "0.3.5"
 description = "Local image privacy masking — detect and redact sensitive info (IDs, phones, keys, etc.) before images leave your machine."
 readme = "README.md"
 license = {text = "MIT"}

skills/privacy-mask/SKILL.md

@@ -6,7 +6,7 @@ description: >-
   passwords, and more. 100% local, 100% offline. Uses OCR with 47 regex rules
   and optional NER. Use when receiving screenshots that may contain private data,
   or when the user mentions privacy/masking/脱敏/打码.
-version: 0.3.4
+version: 0.3.5
 license: MIT
 compatibility: Requires tesseract OCR, Python 3.10+, and pre-installed privacy-mask CLI.
 metadata: