Install verification: No L4/L5 install test yet
What it does
DeepSeek Harness skill pack: plan-driven video editing automation for Wondershare Filmora 2026 on Windows
Installation
dsh plugin --profile web add github:github798383392/dsh-skill-filmora-2026Install method: GitHub · no verification record (L1-L5)
Verification & Compatibility
No verification record yet for this plugin.
- • Node.js: not stated
- • DSH: not stated
- • External credentials: none detected
Author badges
Embed the official badges in your README to showcase security & install-test status:
`[](https://www.dsh.so/artifact/dsh-skill-filmora-2026/)`Security Report
Two automated layers, neither a manual review: a static scan (per-plugin rule checks) and a model-driven dynamic security audit that covers only the subset static-flagged at warn or above and never executes plugin code.
Static n/a, dynamic no conclusion — stricter wins → overall low.
——448dbe469b0bThe scan result is valid for the scanned commit. New commits within 7 days are tolerated (the rating still counts); after 7 days without a rescan the badge shows outdated.
not in the dynamic queue (queue only covers plugins static-flagged at warn or above) — this does not mean the dynamic audit found it safe.
Rule: the dynamic audit can only raise risk, never lower it (raise-only, never an exemption); a wrong raise is withdrawn by human review and the tier falls back to the static verdict. Overall verdict = the stricter of the two layers.
Disclaimer: the static scan and the dynamic security audit are both automated analysis, not a security guarantee. Always review what you install.
Activity
Last commit 2026-10-21 · activity: Active
• Repo created: 2026-10-21
• Stars: ★ 0 · Forks: 0
• Health: Active — committed within last 30 days
Source
Author README
View on GitHub ↗The author's original README from the repository — fetched live, unedited (the English page loads the default README).