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dsh-infra-observability

Verified · install-tested on dsh Bryan-cmf

✓ Actively maintained Builds on 4 official DSH packages

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2026-08-17Last push
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What it does

DSH-Plugin: structural observability layer - real tool/skill usage recording (tools/result), skill-catalog audit, watchdog. No model self-reporting.

✅
Our take
Works — verified, early-stage project

DSH-Plugin: structural observability layer - real tool/skill usage recording (tools/result), skill-catalog audit, watchdog. No model self-reporting. It installs cleanly and boots without issues in our testing. It's early-stage but functional.

“Verified” means our automated CI actually ran dsh plugin add in a clean profile and it booted — nothing more. Feature descriptions and version compatibility are the author’s claims. This is not a security audit and not an endorsement of third-party code.

README

⚠️ 此套件已併入 @bryan-cmf/dsh-insights(2026-08-17)。此 repo 僅保留作合併前歷史,後續迭代請到 dsh-insights。

🔭 Infra Observability — DSH-Plugin

結構化觀測層:真實的工具/技能使用記錄(tools/result)、技能目錄審計、看門狗。零模型自報——平台記什麼,報告就寫什麼。

npm
License: MIT
DSH

A DeepSeek Harness host plugin
that replaces model self-reporting with structural recording:

  • tools/result listener — every real tool execution (name + outcome) is
    recorded by the platform into a ring buffer and per-day aggregates.
  • agent/error / agent/status — error totals and live-agent tracking.
  • Watchdog — timer-driven alert when agent errors spike (≥ N in 5 min).
  • Three tools for the model and humans:
Tool What it reports
usage_report Per-day tool/skill aggregates (calls / ok / err) + recent executions
audit_skills Catalog totals, provider spread, warnings (missing description, non-kebab names), today's skill usage
infra_health Uptime, records kept, error counts, running agents, catalog size, watchdog state

Dashboard (browser)

The client half registers an 「觀測」view tab (order 20, right of
chat / trajectory) rendering a live per-session dashboard from the infraView
session projection: turn counts, failure count, tool/skill TOP lists with
success-rate bars, and the recent execution trail. Data updates as events
commit — no refresh needed.

Install

Path A — Host composition (recommended, always-on)

Add to the profile's package.json dsh.profile.bundles (the package ships a
dsh.bundle.patch that inserts the plugin row):

"dsh": { "profile": { "bundles": ["@bryan-cmf/dsh-infra-observability"] } }

Path B — Agent preset row

- id: infra-observability
  name: '@bryan-cmf/dsh-infra-observability'

Requirements

  • DSH >= 0.1.0-rc.6 (services: tools, timer, skills — all part of the
    shipped dsh-base bundle)

Configuration

Key Default Meaning
maxRecords 5000 Ring-buffer cap for recent execution records
healthIntervalMs 60000 Watchdog check interval
errorAlertThreshold 5 Alert at ≥ this many agent errors per 5-minute window

Scope notes

  • Aggregates are process-lifetime (like dsh-skill-trail); the durable source
    of truth remains the session log. Cross-restart persistence is planned.
  • Companion package: @bryan-cmf/dsh-skill-trail
    renders the per-reply badge row; this package is the backend layer.

Development

pnpm install --store-dir .pnpm-store
pnpm build

License

MIT

Install

🧩 Let your agent install it (recommended)

Install the catalog once, then DeepSeek Harness can find and install any plugin from this site automatically:

dsh plugin add dshbase-catalog

Then say "install dsh-infra-observability for me" — your agent finds it in the directory and installs it. Docs: dshbase-catalog · verified packs.

This plugin is GitHub source (not published to npm) — install it straight from the repo:

Web profile:

dsh plugin --profile web add github:Bryan-cmf/dsh-infra-observability

Headless (CLI) profile:

dsh plugin --profile headless add github:Bryan-cmf/dsh-infra-observability

Test report

Verified: L1 install + L2 load + L3 runtime from GitHub source on dsh 0.1.0-rc.6.

Security: not yet scanned — our daily static scan will cover it shortly.

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