Install verification: No L4/L5 install test yet
Data as of (UTC)
What it does
Cognition HUD 是 DSH Web UI 上的一个实时「认知监视」浮层。 它把智能体正在做的事拆成三块同时呈现:一面会呼吸的方块墙——每段推理点亮格子、一道柔光横扫而过;一只在墙里游走、时不时起跳眨眼的小鲸鱼宠物;一组冷静的读数——工具意图、最近步骤、本轮用到的插件/技能/MCP,以及上下文与 token。
Installation
dsh plugin --profile web add github:lw24-1936/dsh-cognition-hudInstall 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 dsh.so badges in your README to show this plugin's automated security-scan and install-test status:
`[](https://www.dsh.so/artifact/dsh-cognition-hud/?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 n/a; dynamic no conclusion (static stands) → overall low.
——v0.1.0The 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 New commits within 7 days are tolerated (the rating still counts); after 7 days without a rescan the badge shows outdated.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 (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level); the static scan tier (vet primary, dsh backstop) applies only when there is none (not queued / audit failed / withdrawn). The audit never writes the exemption list (exemptions are manual only); a wrong conclusion is withdrawn by human review and the tier falls back to the static scan tier.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 2026-11-11 · activity: Active
• Repo created: 2026-11-11
• 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 @lw24-1936/dsh-cognition-hud?
@lw24-1936/dsh-cognition-hud is a DeepSeek Harness (dsh) plugin listed on dsh.so — an independent community registry that indexes public source repositories and publishes automated security-scan and install-verification results for each entry.
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 @lw24-1936/dsh-cognition-hud?
Run dsh plugin --profile web add github:lw24-1936/dsh-cognition-hud in a DeepSeek Harness (dsh) environment. The command is parsed from the plugin manifest, but its install spec is not verified yet (L3); sandbox install and runtime testing have not passed.
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.
