Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Developer Tools
Token Counter
Track and analyze OpenClaw token usage across main, cron, and sub-agent sessions with category, client, model, and tool attribution. Use when the user asks where tokens are being spent, wants daily/weekly token reports, needs per-session drilldowns, or is planning token-cost optimizations and needs evidence from transcript data.
skill openclawclawhub Free
Track and analyze OpenClaw token usage across main, cron, and sub-agent sessions with category, client, model, and tool attribution. Use when the user asks where tokens are being spent, wants daily/weekly token reports, needs per-session drilldowns, or is planning token-cost optimizations and needs evidence from transcript data.
โฌ 0 downloads โ
0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, agents/openai.yaml, references/classification-rules.md, scripts/token_counter.py
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- mkhaytman87
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Overview
Use this skill to produce token usage reports from local OpenClaw data. It parses session transcripts (.jsonl), session metadata, and cron definitions, then reports usage by category, client, tool, model, and top token consumers.
Quick Start
Run: $OPENCLAW_SKILLS_DIR/token-counter/scripts/token-counter --period 7d
Common Commands
Basic report: $OPENCLAW_SKILLS_DIR/token-counter/scripts/token-counter --period 7d Focus on selected breakdowns: $OPENCLAW_SKILLS_DIR/token-counter/scripts/token-counter \ --period 1d \ --breakdown tools,category,client Analyze one session: $OPENCLAW_SKILLS_DIR/token-counter/scripts/token-counter \ --session agent:main:cron:d3d76f7a-7090-41c3-bb19-e2324093f9b1 Export JSON: $OPENCLAW_SKILLS_DIR/token-counter/scripts/token-counter \ --period 30d \ --format json \ --output $OPENCLAW_WORKSPACE/token-usage/token-usage-30d.json Persist daily snapshot: $OPENCLAW_SKILLS_DIR/token-counter/scripts/token-counter \ --period 1d \ --save This writes JSON to: $OPENCLAW_WORKSPACE/token-usage/daily/YYYY-MM-DD.json
Defaults and Data Sources
Sessions index: $OPENCLAW_DATA_DIR/agents/main/sessions/sessions.json Session transcripts: $OPENCLAW_DATA_DIR/agents/main/sessions/*.jsonl Cron definitions: $OPENCLAW_DATA_DIR/cron/jobs.json The parser reads assistant usage fields for token counts and uses tool-call records for attribution.
Notes on Attribution
Tool token attribution is heuristic: assistant-message tokens are split across tool calls in that message. Session totalTokens may come from either session index metadata or transcript usage sums (max is used). Client detection is rules-based (personal, bonsai, mixed, unknown) using path/domain/email markers.
Validation
Run: python3 $OPENCLAW_SKILLS_DIR/skill-creator/scripts/quick_validate.py \ $OPENCLAW_SKILLS_DIR/token-counter
References
See: references/classification-rules.md for category/client detection logic and keyword mapping.
Category context
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
2 Docs1 Scripts1 Config
- SKILL.md
- references/classification-rules.md
- scripts/token_counter.py
- agents/openai.yaml