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AgentMeter

通过 /meter 一条命令完成安装检查、历史回填与花费汇总:Stop hook 解析当次会话转录的 token 用量,按模型定价(含缓存档位)估算费用并写入本地 spend.jsonl;也可扫描历史会话回填,并可选择性将数据同步到 AgentMeter 托管仪表盘。

oztenbot
oztenbot
热度 75.43
最近更新 2026-05-11 17:28:41
分类:数据依赖:代码执行 / 读写文件 / 第三方 API应用场景:报告撰写 / 数据处理 / 自动化脚本 / 工作流

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add agent-meter
Metadata
name
agent-meter
description
Track API spend with intent-level attribution. Shows where your tokens go by project and purpose. Invoke with /meter for spend summary.
version
0.6.3
user-invocable
true

/meter — API Spend Tracker

When the user invokes /meter, run a SINGLE bash command that handles everything: setup check, backfill, and summary. One prompt, one approval.

Execution

Run this single bash command:

bash "$(for d in "$HOME/.claude/skills/agent-meter" "$HOME/.claude/skills/meter" ".claude/skills/meter" ".claude/skills/agent-meter"; do [ -f "$d/meter.sh" ] && echo "$d/meter.sh" && break; done)"

If meter.sh is not found, tell the user the script wasn't found and suggest reinstalling.

Format the output as a clean markdown summary for the user.

If the user passes arguments like /meter --by model or /meter --last 7d, append them: bash .../meter.sh --last 7d

Setup

Install from ClawHub into your project:

clawhub install agent-meter --dir .claude/skills

Then run /meter — it handles everything automatically:

  • Copies the session-end hook to .claude/hooks/
  • Creates or updates .claude/settings.json with the Stop hook
  • Backfills any existing Claude Code sessions
  • Shows your spend summary

That's it. Future sessions are tracked automatically via the Stop hook.

Dashboard sync (optional)

To sync spend data to the hosted dashboard at dashboard.agentmeter.io:

bash .claude/skills/agent-meter/meter-sync.sh --setup

The setup wizard will prompt for your API key and agent name. Get a key from the dashboard's Machines page. After setup, sync anytime with:

bash .claude/skills/agent-meter/meter-sync.sh

What the scripts do

  • meter.sh — Single entry point for /meter. Checks hook installation, backfills if needed, shows spend summary. All in one script, one permission prompt.

  • meter-session-end.sh (Stop hook): Parses the current session's transcript for per-message token usage. Detects model (opus/sonnet/haiku), calculates cost with model-specific pricing including cache tier pricing, writes a single session_summary record. Deduplicates by session_id — safe across session pause/resume. No network calls, no secrets access, jq dependency only.

  • meter-parse-claude-sessions.sh (backfill): Scans all Claude Code transcripts in ~/.claude/projects/*/*.jsonl. Extracts the same usage data as the hook. Deduplicates against existing records by session_id. Safe to re-run — only processes new sessions. No network calls, no secrets access, jq dependency only.

Query Examples

SPEND="$HOME/.agent-meter/spend.jsonl"

# Spend by project
jq -s 'group_by(.project) | map({project: .[0].project, cost: (map(.cost_usd) | add), sessions: length}) | sort_by(-.cost)' "$SPEND"

# Spend by model
jq -s 'group_by(.model) | map({model: .[0].model, cost: (map(.cost_usd) | add), sessions: length}) | sort_by(-.cost)' "$SPEND"

# Today's spend
jq -s "[.[] | select(.ts | startswith(\"$(date -u +%Y-%m-%d)\"))] | map(.cost_usd) | add" "$SPEND"

# Top 10 most expensive sessions
jq -s 'sort_by(-.cost_usd) | .[:10] | .[] | "\(.cost_usd | . * 100 | round / 100) \(.project) \(.total_calls) calls \(.ts | split("T")[0])"' "$SPEND" -r

Schema

All records are session_summary type in ~/.agent-meter/spend.jsonl.

Field Required Description
type yes Always session_summary
ts yes ISO 8601 timestamp (session start)
api yes api.anthropic.com
model yes Model identifier (e.g. claude-opus-4-6)
session_id yes Claude Code session UUID
project yes Project directory name
total_calls yes Number of assistant messages
tokens_in yes Input tokens (non-cached)
tokens_out yes Output tokens
cache_creation yes Cache creation input tokens
cache_read yes Cache read input tokens
cost_usd yes Estimated cost (model-aware pricing)
source yes hook or session_parse
purpose no Human-readable intent (manual tag)
intent no Machine tags (manual)

Cost Calculation

Per-1M-token pricing:

Model Input Output Cache Create Cache Read
Opus $15 $75 $18.75 (1.25x) $1.50 (0.1x)
Sonnet $3 $15 $3.75 (1.25x) $0.30 (0.1x)
Haiku $0.25 $1.25 $0.3125 (1.25x) $0.025 (0.1x)