bambu-studio-ai
Bambu Lab 3D printer control and automation. Activate when user mentions: printer status, 3D printing, slice, analyze model, generate 3D, AMS filament, print monitor, Bambu Lab, or any 3D printing task. Full pi...
Analyze OpenClaw costs and detect billing issues. Source code is fully bundled — nothing is fetched at runtime. Requires only the node binary.
请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。
SkillHub CLI
skillhub install echoudhry/clawculator打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。
将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。
Cost forensics for OpenClaw. Finds billing issues in your config, sessions, and workspace. Pure deterministic logic — no AI, no network calls, no external dependencies.
Source code is fully bundled in this skill folder. Nothing is fetched at runtime. You can audit every file before running.
Files this skill reads:
~/.openclaw/openclaw.json — your OpenClaw config~/.openclaw/agents/main/sessions/sessions.json — session token usage~/clawd/ — workspace root file count only (no file contents read)/tmp/openclaw — log directory (read only, if present)Files this skill may write (only when --md is used):
./clawculator-report.md — markdown report--out=PATH
No network requests are made. No shell commands are spawned.
Session keys are truncated in all output (first 8 chars + ellipsis) to avoid exposing sensitive identifiers.
Usage
When the user types clawculator, check my costs, analyze spend, or cost report, run:
node {baseDir}/run.js --md
Return the full markdown report to the user inline.
When the user types snapshot, share my grade, cost grade, clawculator snapshot, or what's my grade, run:
node {baseDir}/run.js --snapshot
Return the terminal card output to the user. This shows their grade (A+ to D), cost range, setup complexity, and findings — designed to be screenshot and shared.
Flags
--snapshot — shareable grade card (terminal output, screenshot-ready)--md — write markdown report and print to stdout--json — machine-readable JSON to stdout--out=PATH — custom output path for --md
node {baseDir}/run.js --help — full usageWhat it catches
这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。
Your friendly penny pincher.
AI cost forensics for OpenClaw and multi-model setups. One command. Full analysis. 100% offline. Zero AI. Pure deterministic logic.
You set up OpenClaw. It runs great. Then your API bill arrives and you have no idea why it's $150. Was it the heartbeat? A skill running a polling loop? WhatsApp groups processing every message on Sonnet? Orphaned sessions? Hooks on the wrong model?
It could be any of these. Clawculator finds all of them — with zero AI, zero guesswork, and zero data leaving your machine.
See it run against a real config — findings, fix commands, cost exposure, session breakdown.
npx clawculator
No install. No account. No config. Auto-detects your OpenClaw setup. Full deterministic report in seconds.
Clawculator uses pure switch/case deterministic logic — no LLM, no Ollama, no model of any kind. Every finding and recommendation is hardcoded. Results are 100% reproducible and non-negotiable.
Your openclaw.json, session logs, and API keys never leave your machine. There is no server. Disconnect your internet and run it — it works.
| Source | What it catches | Severity |
|---|---|---|
| 💓 Heartbeat | Running on paid model instead of Ollama | 🔴 Critical |
| 💓 Heartbeat | target not set to "none" (v2026.2.24+) | 🟠 High |
| 🔧 Skills | Polling/cron loops on paid model | 🔴 Critical |
| Groups auto-joined on primary mo... |
## clawculator
Cost forensics for OpenClaw. Finds billing issues in your config, sessions, and workspace. Pure deterministic logic — no AI, no network calls, no external dependencies.
**Source code is fully bundled in this skill folder.** Nothing is fetched at runtime. You can audit every file before running.
**Files this skill reads:**
- `~/.openclaw/openclaw.json` — your OpenClaw config
- `~/.openclaw/agents/main/sessions/sessions.json` — session token usage
- `~/clawd/` — workspace root file count only (no file contents read)
- `/tmp/openclaw` — log directory (read only, if present)
**Files this skill may write (only when `--md` is used):**
- `./clawculator-report.md` — markdown report
- Custom path via `--out=PATH`
**No network requests are made. No shell commands are spawned.**
**Session keys are truncated in all output** (first 8 chars + ellipsis) to avoid exposing sensitive identifiers.
---
**Usage**
When the user types `clawculator`, `check my costs`, `analyze spend`, or `cost report`, run:
```bash
node {baseDir}/run.js --md
```
Return the full markdown report to the user inline.
When the user types `snapshot`, `share my grade`, `cost grade`, `clawculator snapshot`, or `what's my grade`, run:
```bash
node {baseDir}/run.js --snapshot
```
Return the terminal card output to the user. This shows their grade (A+ to D), cost range, setup complexity, and findings — designed to be screenshot and shared.
**Flags**
- `--snapshot` — shareable grade card (terminal output, screenshot-ready)
- `--md` — write markdown report and print to stdout
- `--json` — machine-readable JSON to stdout
- `--out=PATH` — custom output path for `--md`
- `node {baseDir}/run.js --help` — full usage
**What it catches**
- 💓 Heartbeat running on paid model instead of Ollama
- 🔧 Skill polling loops on paid model
- 📱 WhatsApp groups auto-joined on primary model
- 🪝 Hooks (boot-md, command-logger, session-memory) on Sonnet
- 💬 Orphaned sessions still holding tokens
- 🤖 maxCon...<p align="center"> <img src="logo.png" width="200" /> </p> # Clawculator > **Your friendly penny pincher.** AI cost forensics for OpenClaw and multi-model setups. One command. Full analysis. 100% offline. Zero AI. Pure deterministic logic. [](https://badge.fury.io/js/clawculator) [](https://opensource.org/licenses/MIT) [](https://echoudhry.github.io/clawculator) --- ## The problem You set up OpenClaw. It runs great. Then your API bill arrives and you have no idea why it's $150. Was it the heartbeat? A skill running a polling loop? WhatsApp groups processing every message on Sonnet? Orphaned sessions? Hooks on the wrong model? It could be any of these. Clawculator finds all of them — with zero AI, zero guesswork, and zero data leaving your machine. --- ## [▶ Live Demo](https://echoudhry.github.io/clawculator) See it run against a real config — findings, fix commands, cost exposure, session breakdown. --- ## One command ```bash npx clawculator ``` No install. No account. No config. Auto-detects your OpenClaw setup. Full deterministic report in seconds. --- ## 🔒 100% offline. Zero AI. Clawculator uses **pure switch/case deterministic logic** — no LLM, no Ollama, no model of any kind. Every finding and recommendation is hardcoded. Results are 100% reproducible and non-negotiable. Your `openclaw.json`, session logs, and API keys never leave your machine. There is no server. Disconnect your internet and run it — it works. --- ## What it finds | Source | What it catches | Severity | |--------|----------------|----------| | 💓 Heartbeat | Running on paid model instead of Ollama | 🔴 Critical | | 💓 Heartbeat | target not set to "none" (v2026.2.24+) | 🟠 High | | 🔧 Skills | Polling/cron loops on paid model | 🔴 Critical | | 📱 WhatsApp | Groups auto-joined on primary mo...
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