← Back to list

dsh-cost-meter

DeepSeek Harness Other Low risk

Session cost chip in the DeepSeek Harness conversation header showing live token usage by bucket, peak/off-peak tariff pricing, and a countdown to the next tariff switch.

在 DeepSeek Harness 对话标题栏显示会话费用芯片:实时分桶 Token 用量、高峰/非高峰费率,以及到下次费率切换的倒计时。

How to install

DeepSeek Harness dsh plugin add @goodandready/dsh-cost-meter

About

📦 @goodandready/dsh-cost-meter --- ⚡ Overview & The Problem AI development and agentic coding consume large volumes of tokens across prompt generation, reasoning, and context caches. Without continuous financial feedback, developers risk unexpected billing spikes, missing off-peak discount windows, or failing to identify runaway subagent expenses. **@goodandready/dsh-cost-meter** embeds a high-precision cost telemetry chip directly into the DeepSeek Harness conversation header (conversation.session.header.utilities): text ● ≈ $0.12 0:17 ← Live session cost chip with tariff countdown Clicking …

Recommendation signals

61 Tool quality · Based on stars, downloads, maintenance, security and docs
– User interest · Adjusted by in-site views, install copies and download clicks
61 Overall
0views
0unique visitors
0install copies
0download clicks
0outbound clicks

Meta

License
MIT
Language
JavaScript
GitHub stars
0
mo. downloads
2.3K
Last push
2026-09-22
Created
2026-09-05

Links

GitHub ↗ npm ↗ Report issue ↗

Basic safety check

Findings
None
Sources
curated:awesome-dsh-plugin.com, curated:awesome-dsh-plugin/awesome-dsh-plugin
Topics
cost, deepseek-harness, dsh, dsh-plugin, tariff, token-usage

Related plugins

DeepSeek Harness
Score73

TokenLedger

zh667/TokenLedger

Sidebar usage panel that attributes tokens to the relay site that served each request, read from your existing provider config: today/month/all-time totals, per-site and per-model breakdowns, a year activity heatmap, and New API / Sub2API / DeepSeek balances.

☆ 202 ↓ 1.4K Other ↗
DeepSeek Harness
Score71

dsh-context

bowenliang123/dsh-context

DSH context insight panel: Context dashboard + /context command + Context browser — one-stop context lifecycle management with categorized composition, content details, evolution trends, compaction/injection events, and stats.

☆ 1.5K ↓ 79.7K Other ↗
DeepSeek Harness
Score69

dsh-usage-statistics-panel

HaoyueQin/dsh-usage-statistics-panel

Usage statistics settings panel: 26-week activity heatmap, daily token trend with a cache hit-rate curve, per-model donut and breakdown, time-range filters, summary cards, one-time historical backfill and lossless rebuild.

☆ 9 ↓ 3.3K Other ↗
DeepSeek Harness
Score68

dsh-all-usage

ParticleLight/dsh-all-usage

Analyze usage across models, providers, workspaces, and time ranges — including custom start/end dates over the full retained history — with live cache-hit visibility and separate model and provider breakdowns. Includes hourly single-day trends, daily cross-day trends, a 53-week GitHub-style heatmap, usage streaks, model and workspace Token-share donut charts with Token, cost, and percentage details, independent combinable filters, cache-efficiency trends, DeepSeek account balance, workspace aliases, CSV export, and a durable ledger that preserves successfully flushed usage after session deletion — and after a workspace is deleted, where its recorded usage is summed into one Deleted row — and rebuilds incrementally — on restart, unchanged sessions are applied from the ledger without re-reading their logs (a per-session log revision is the change signal), and only changed/new events are folded. The workspace registry is kept fresh automatically through the DSH domain/changed probe: only added/removed workspaces are reprocessed incrementally, unchanged workspaces reuse their computed aggregates and ledger with zero rescan, and usage is strictly limited to DSH-registered workspaces (unregistered cwds are ignored). After a scan, lightweight revision status fetches full history only when the Host/data state changes and exposes non-sensitive sync health (revision reuse, rereads, ledger recovery, and failures). Token accounting is explicit: input is fresh (cache read/write and reasoning are separate buckets) and zero-usage replays never overwrite recorded usage. Chinese uses local time, English uses UTC; API access is loopback-only.

☆ 8 ↓ 2.8K Other ↗