DeepSeek Harness 一体化渠道插件（基于 dsh-channel-core 二次开发）：把 Discord 与飞书（Lark）两套渠道合进一个插件统一管理。含扫码创建/连接飞书机器人、扫码添加机器人、主人认领与身份核验、私聊与群聊会话路由、CardKit 流式进度卡片、/model 模型选择卡片、Ask User 交互，以及 channel_send 主动外发文字/图片/文件。本分支优化飞书回答卡片字号，附中英双语文档与回归测试。
Install verification: Ecosystem plugin: installs via dsh plugin add but declares no dsh.bundle and mounts no plugin capability — the L1-L5 install ladder does not rate it; the security scan still runs.Install verification details →
Data as of (UTC)
What it doesAI
Unified Discord + Feishu (Lark) channel plugin with QR bot onboarding, session routing, streaming cards and proactive message sending.
- Scan-to-create and connect Feishu bots, plus owner claim and identity verification
- Private and group chat session routing with CardKit streaming progress cards
- /model selection card, Ask User interaction and channel_send for text, images and files
Capability tags are AI-inferred or rule-extracted from the README (see badge) — vocabulary-limited, not install-verified. AI = inferred; README = literal keyword from the readme.
Installation
dsh plugin --profile web add github:firstdreamlh/dsh-feishu-channel#v0.9.1security scan passed · source release v0.9.1
Install method: GitHub · runtime test inconclusive (L5 unknown)
Verification & Compatibility○ Ecosystem plugin
Grouped by plugin version: each card lists the dsh versions actually tested against that artifact version and their install verdicts (L5 wins). Untested combinations are omitted — absence means untested, never assumed compatible. L1–L3 are a plugin-level static archive (independent of the dsh version — the same verdict on every dsh row): they sit in each row's level grid next to L4/L5, marked "static", while their evidence is stored once per plugin inside that row's "checks & evidence" instead of being duplicated per version.
External credentials (plugin-level): none detected
package manifest not collected — the declared range is unknown.
| plugin ＼ dsh | dsh 0.2.2-rc.1 current |
|---|---|
| v0.9.1 | ○ |
v0.9.1github○ 1 ecosystem plugin2026-11-10
https://github.com/firstdreamlh/dsh-feishu-channel
○dsh 0.2.2-rc.1current2026-11-10Ecosystem plugin
- • Node.js: v24.14.0
- • DSH: 0.2.2-rc.1
- • Plugin artifact: github · https://github.com/firstdreamlh/dsh-feishu-channel#v0.9.1
ID: dsh-feishu-channel-3@v0.9.1@dsh0.2.2-rc.1 · profile: l4-sandbox
Issued: 2026-11-10 · expires: 2026-11-17
View checks & evidence
not present in web-profile loader inventory
L1–L3 are plugin-level static conclusions (baseline, identical across dsh versions): evidence is stored once per plugin.
Author badges
Embed the dsh.so badges in your README to show this plugin's automated security-scan and install-test status:
`[](https://www.dsh.so/artifact/dsh-feishu-channel-3/?ref=badge)`dsh.so is an independent community project, not affiliated with or endorsed by DeepSeek AI. Badges are maintained by dsh.so; embed links carry a ?ref= attribution parameter.
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 low; dynamic no conclusion (static stands) → overall low.
v0.9.1dsh manifestv0.9.1git2026-11-11v0.9.1same versionclean · gitVet is an AST static scan (npm artifact or git source).
not in the dynamic queue (the queue only covers plugins whose static tier is medium or above — medium/high/critical; since 2026-10-24 entries rated low are not audited even when dsh-only rules logged warnings) — this does not mean the dynamic audit found it safe.
Rule (2026-10-28): when a dynamic conclusion exists it is authoritative (it may raise or lower the level); the static scan tier (vet primary, dsh backstop) applies only when there is none (not queued / audit failed / withdrawn). The audit never writes the exemption list (exemptions are manual only); a wrong conclusion is withdrawn by human review and the tier falls back to the static scan tier.
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 2026-11-08 · activity: Active
• Repo created: 2026-11-08
• Stars: ★ 1 · 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).
Frequently asked questions
What is @firstdreamlh/dsh-feishu-channel?
@firstdreamlh/dsh-feishu-channel is an ecosystem plugin listed on dsh.so: it installs with dsh plugin add but declares no dsh.bundle and mounts no plugin capability, so installing it adds no plugin functionality — use its source repository directly.
Is dsh.so or this plugin page official?
dsh.so is an independent community registry and is not affiliated with, endorsed by, or sponsored by DeepSeek AI.
How do I install @firstdreamlh/dsh-feishu-channel?
Run dsh plugin --profile web add github:firstdreamlh/dsh-feishu-channel#v0.9.1 in a DeepSeek Harness (dsh) environment. Note this is an ecosystem plugin: it declares no dsh.bundle and mounts no plugin capability, so installing it adds no plugin functionality — use the source repository directly. The security scan still runs.
How does the security scan relate to a manual audit?
Both layers are automated, not a manual audit. The static scan is heuristic analysis of the repository source, so it can produce false positives and miss context. The model-driven dynamic security audit only covers plugins static-flagged at warn or above, never executes plugin code, and its conclusion is authoritative when there is one (it may raise or lower the static tier); exemptions stay manual. Neither layer is an endorsement: review the repository and the permissions it asks for before installing, together with the verification level and health signals.
How fresh is the data on this page?
The data on this page is as of 2026-11-11 (UTC) — the most recent valid timestamp among the registry refresh, install verification, security scan and dynamic audit. Build time is never used as a data date.