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...
Lighthouse-style efficiency audit for OpenClaw. Scores your instance A+ to F across 6 categories (context injection, cron health, session bloat, config, skills, transcripts). Identifies wasted tokens, bloated sessions, misconfigured crons, and model right-sizing opportunities. Zero dependencies (Python stdlib only).
Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.
SkillHub CLI
skillhub install anna-claudette/clawzembicExaminez la source et la compatibilité, puis suivez les étapes d’installation.
Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.
Lighthouse-style audit for OpenClaw efficiency. Run it, get a grade (A+ to F), shed the bloat.
Scans your installation and scores it across six critical categories: context injection, cron health, session bloat, config health, skill bloat, and transcript size. You get one overall letter grade plus category-by-category breakdown with actionable findings.
Zero dependencies. Python 3.8+ stdlib only.
# Audit this machine
bash skills/clawzembic/lean-audit.sh
# Audit a remote instance (VM, etc.)
bash skills/clawzembic/lean-audit.sh --remote user@host
# JSON output for dashboards/integrations
bash skills/clawzembic/lean-audit.sh --json
# Show automated fix suggestions
bash skills/clawzembic/lean-audit.sh --fix
# Custom .openclaw directory
bash skills/clawzembic/lean-audit.sh --dir /path/to/.openclaw
| Category | Weight | What Gets Flagged |
|---|---|---|
| Context Injection | 25% | Oversized MEMORY.md, bloated workspace files eating tokens |
| Cron Health | 25% | Wrong models, high thinking on routine tasks, main-session pollution |
| Session Bloat | 20% | Stale sessions hogging context, waste ratio above 35% |
| Config Health | 15% | Heartbeat too frequent, subagent defaults, missing compaction |
| Skill Bloat | 10% | Too many skills injected, unused skills inflating system prompt |
| Transcript Size | 5% | Disk hogs, oversized transcripts (>10MB files) |
When Jeffrey asks you to audit or optimize an OpenClaw instance:
bash skills/clawzembic/lean-audit.sh (or --remote user@claudette for the VM)--fix mode for auto...Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.
Weight Loss for Your OpenClaw Instance
A Lighthouse-style audit for OpenClaw efficiency. Run it, get a grade (A+ to F), and shed the bloat.
Clawzempic scans your OpenClaw installation and scores it across six critical efficiency categories. Think of it as a health checkup for your AI assistant — identifying wasted tokens, bloated sessions, misconfigured crons, oversized context injection, and opportunities to right-size your models.
You get:
| Category | Weight | What Gets Flagged |
|---|---|---|
| Context Injection | 25% | Oversized MEMORY.md, bloated workspace files eating tokens on every session init |
| Cron Health | 25% | Wrong models (Opus for routine tasks), high thinking on simple jobs, main-session pollution |
| Session Bloat | 20% | Stale sessions hogging context, waste ratio, sessions running at 40%+ capacity |
| Config Health | 15% | Heartbeat too frequent, subagent defaults, missing compaction/pruning |
| Skill Bloat | 10% | Too many skills injected into system prompt, unused skills |
| Transcript Size | 5% | Disk hogs, oversized transcripts (>10MB files) |
# Audit this machine
bash skills/clawzembic/lean-audit.sh
# Audit a remote instance (VM, etc.)
bash skills/clawzembic/lean-audit.sh --remote user@host
# JSON output for dashboards/integrations
bash skills/clawzembic/lean-audit.sh --json
# Show automated fix suggestions
bash skills/clawzembic/lean-audit.sh --f...
# Clawzembic — Weight Loss for Your OpenClaw Instance **Lighthouse-style audit for OpenClaw efficiency.** Run it, get a grade (A+ to F), shed the bloat. Scans your installation and scores it across six critical categories: context injection, cron health, session bloat, config health, skill bloat, and transcript size. You get one overall letter grade plus category-by-category breakdown with actionable findings. **Zero dependencies.** Python 3.8+ stdlib only. ## Quick Start ```bash # Audit this machine bash skills/clawzembic/lean-audit.sh # Audit a remote instance (VM, etc.) bash skills/clawzembic/lean-audit.sh --remote user@host # JSON output for dashboards/integrations bash skills/clawzembic/lean-audit.sh --json # Show automated fix suggestions bash skills/clawzembic/lean-audit.sh --fix # Custom .openclaw directory bash skills/clawzembic/lean-audit.sh --dir /path/to/.openclaw ``` ## What It Checks | Category | Weight | What Gets Flagged | |----------|--------|-------------------| | Context Injection | 25% | Oversized MEMORY.md, bloated workspace files eating tokens | | Cron Health | 25% | Wrong models, high thinking on routine tasks, main-session pollution | | Session Bloat | 20% | Stale sessions hogging context, waste ratio above 35% | | Config Health | 15% | Heartbeat too frequent, subagent defaults, missing compaction | | Skill Bloat | 10% | Too many skills injected, unused skills inflating system prompt | | Transcript Size | 5% | Disk hogs, oversized transcripts (>10MB files) | ## Grade Scale - **A+/A** (90-100): Lean machine 💪 - **B+/B** (75-89): Good shape, minor tweaks - **C+/C** (60-74): Needs a diet 🍕 - **D+/D** (45-59): Significant bloat 🫠 - **F** (<45): Emergency Clawzembic needed 💊 ## Agent Usage When Jeffrey asks you to audit or optimize an OpenClaw instance: 1. Run `bash skills/clawzembic/lean-audit.sh` (or `--remote user@claudette` for the VM) 2. Review the report and present key findings with context 3. Offer `--fix` mode for auto...
# 💊 Clawzempic **Weight Loss for Your OpenClaw Instance** A Lighthouse-style audit for OpenClaw efficiency. Run it, get a grade (A+ to F), and shed the bloat. ## What It Does Clawzempic scans your OpenClaw installation and scores it across six critical efficiency categories. Think of it as a health checkup for your AI assistant — identifying wasted tokens, bloated sessions, misconfigured crons, oversized context injection, and opportunities to right-size your models. You get: - **One letter grade** (A+ to F) summarizing overall health - **Category-by-category breakdown** with weighted scoring - **Actionable findings** — exactly what's bloated and why - **Optional fix mode** — automated remediation suggestions ## Audit Categories | Category | Weight | What Gets Flagged | |----------|--------|-------------------| | **Context Injection** | 25% | Oversized MEMORY.md, bloated workspace files eating tokens on every session init | | **Cron Health** | 25% | Wrong models (Opus for routine tasks), high thinking on simple jobs, main-session pollution | | **Session Bloat** | 20% | Stale sessions hogging context, waste ratio, sessions running at 40%+ capacity | | **Config Health** | 15% | Heartbeat too frequent, subagent defaults, missing compaction/pruning | | **Skill Bloat** | 10% | Too many skills injected into system prompt, unused skills | | **Transcript Size** | 5% | Disk hogs, oversized transcripts (>10MB files) | ## Grade Scale - **A+/A** (90-100): Lean machine 💪 - **B+/B** (75-89): Good shape, minor tweaks - **C+/C** (60-74): Needs a diet 🍕 - **D+/D** (45-59): Significant bloat 🫠 - **F** (<45): Emergency Clawzembic needed 💊 ## Quick Start ```bash # Audit this machine bash skills/clawzembic/lean-audit.sh # Audit a remote instance (VM, etc.) bash skills/clawzembic/lean-audit.sh --remote user@host # JSON output for dashboards/integrations bash skills/clawzembic/lean-audit.sh --json # Show automated fix suggestions bash skills/clawzembic/lean-audit.sh --f...
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