bump skillward plugin to version 0.0.12

[YYYYH2002]

Plugin Submission

Plugin information

• Author: fangcunai
• Plugin name: skillward
• Version: 0.0.12
• Source repository: https://github.com/Fangcun-AI/SkillWard
• Contact: https://github.com/Fangcun-AI/SkillWard/issues

Submission type

• New plugin
• Version update

What changed

• Added Fangcun Platform API Key authentication.
• Added managed and custom model configurations.
• Added scan type, runtime policy, and report language options.
• Improved scan outputs and documentation.
• Removed URL scanning; the plugin now accepts Skill and MCP ZIP archives only.

Risk level

• Low risk
• Medium risk
• High risk

Required checks

• I have read and followed the Marketplace submission requirements.
• I have read and comply with the Plugin Developer Agreement.
• I tested this plugin on Dify Community Edition and Dify Cloud, or documented any limitation below.
• The package contains only files needed at runtime.
• The package does not contain secrets, local credentials, .env files, .git directories, virtual environments, caches, logs, or IDE files.
• The package does not contain executables or bundled binaries, or I explained why they are required below.
• The plugin README includes setup steps, usage instructions, required APIs or credentials, connection requirements, and the source repository link.
• The plugin includes PRIVACY.md or a hosted privacy policy, and manifest.yaml references it.
• All user-facing text is primarily in English, with any localized README files following the i18n guidance.

Security and privacy notes

• Uploaded Skill and MCP ZIP archives are sent over HTTPS to the hosted SkillWard service.
• Suspicious projects may be executed in isolated Docker sandboxes for runtime verification.
• Fangcun Platform credentials and custom model settings are sent to the hosted service. Relevant source content may be sent to the configured model provider.
• Data handling and retention are documented in PRIVACY.md.

Local validation

uv run --with pytest python -m pytest -q
10 passed

uv run --with ruff python -m ruff check . --exclude venv --exclude .venv
All checks passed!

uv lock --check
Resolved 41 packages

dify-plugin v0.6.9 plugin package . -o skillward-0.0.12.difypkg
Plugin packaged successfully

unzip -t skillward-0.0.12.difypkg
No errors detected

Reviewer notes

• This update is submitted by another member of the Fangcun-AI team. The plugin identity remains fangcunai/skillward.
• URL scanning has been removed. Existing workflows using URL inputs must switch to uploaded ZIP archives.
• Existing workflows and credentials may need to be reconfigured.
• The package was validated locally. Testing across both Dify Community Edition and Dify Cloud has not been independently completed.

[crazywoola]

✅ LGTM

Decision: Approve

Local Check Results

Check	Status	Detail	Required action
PR content language	✅ Pass	PR title/body CJK ratio=0.0% (zh=0, en=2116, ignored_zh=0, allowed_zh<=0)	None.
Project structure	✅ Pass	All expected files present: manifest.yaml, README.md, PRIVACY.md. _assets/: yes.	None.
Manifest author	✅ Pass	author is valid.	None.
Icon validation	✅ Pass	icon exists: _assets/icon.svg	None.
Version check	✅ Pass	version 0.0.12 is available.	None.
README language	✅ Pass	README.md CJK ratio=0.0% (zh=0, en=4164, allowed_zh<=0)	None.
PRIVACY.md	✅ Pass	PRIVACY.md exists and is non-empty.	None.
Dependency install	✅ Pass	requirements installed successfully.	None.
dify_plugin version	✅ Pass	dify_plugin version 0.10.1 satisfies >= 0.9.0.	None.
Install test	✅ Pass	plugin install test passed.	None.
Packaging test	✅ Pass	packaging check passed.	None.