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Clawzempic
by
anna-claudette
· GitHub ↗
· v1.0.0
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Install in OpenClaw
/install clawzembic
Description
Lighthouse-style efficiency audit for OpenClaw. Scores your instance A+ to F across 6 categories (context injection, cron health, session bloat, config, skil...
README (SKILL.md)
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
# 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 (\x3C45): Emergency Clawzembic needed 💊
Agent Usage
When Jeffrey asks you to audit or optimize an OpenClaw instance:
- Run
bash skills/clawzembic/lean-audit.sh(or--remote user@claudettefor the VM) - Review the report and present key findings with context
- Offer
--fixmode for automated remediation if score \x3C 75
For remote instances, ensure SSH key-based auth is configured. The skill uses SSH to execute the audit remotely — no agent installation needed on the target.
Usage Guidance
This skill appears to do what it claims: auditing OpenClaw directories and optionally running on a remote host via SSH. Before installing or running it on production data: 1) Review the remainder of lean-report.py (the audit logic beyond the truncation) to confirm there are no network calls, hidden endpoints, or code that exfiltrates files. 2) Test in a staging environment and run with --json or a dry-run to inspect outputs before using --fix. 3) If you use --remote, only SSH into hosts you control and understand that the script will run with the remote user's privileges. 4) Back up important transcripts/config before applying any automated fixes. If you want higher assurance, ask the publisher for a provenance/source URL or sign-off; the README references ClawHub but the skill metadata/homepage is missing.
Capability Analysis
Type: OpenClaw Skill
Name: clawzembic
Version: 1.0.0
The skill is classified as suspicious due to its use of SSH for remote execution and the `--dir` argument allowing arbitrary path specification for auditing. While these capabilities are explicitly documented and intended for legitimate auditing purposes, they represent powerful functions that, if misused (e.g., via prompt injection against the agent to provide a malicious remote host or directory path), could lead to unauthorized remote command execution or arbitrary file access. The `lean-audit.sh` script quotes the `$REMOTE` variable in the `ssh` command, mitigating direct shell injection into the `ssh` command itself, and the `lean-report.py` script is read-only, only printing fix suggestions rather than executing them. However, the inherent power of these operations warrants a 'suspicious' classification as a vulnerability risk, not as intentional malware.
Capability Assessment
Purpose & Capability
Name/description match the implementation: scripts scan .openclaw workspace, agents, and cron stores to produce an efficiency score. Required binary (python3) and declared zero-deps are consistent with the Python stdlib implementation.
Instruction Scope
SKILL.md and the scripts instruct the agent to read files under the OpenClaw install (workspace files, agent session stores, cron job JSON, transcripts). That is necessary for an audit, but these files can contain sensitive data (transcripts, session content). The remote mode streams the audit script over SSH and executes it on the target, which is expected for remote auditing but means the script will run with the remote user's privileges and have full read access to the target .openclaw directory.
Install Mechanism
No installation step or third-party downloads. The skill is instruction-first with bundled scripts; nothing writes or fetches code from external URLs during install.
Credentials
No environment variables or credentials are required. The script optionally respects OPENCLAW_DIR to target a custom path. There are no requests for unrelated cloud/API keys or system secrets in the provided code.
Persistence & Privilege
always:false and no evidence of the skill modifying other skills or system-wide agent settings. However the tool exposes a --fix mode (passed from the bash wrapper to the Python script) that may perform remediation; README claims fixes require confirmation but the wrapper simply forwards the flag. You should confirm how --fix behaves (dry-run vs destructive) before running it, especially on production instances.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install clawzembic - After installation, invoke the skill by name or use
/clawzembic - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release — Lighthouse-style audit for OpenClaw efficiency
Metadata
Frequently Asked Questions
What is Clawzempic?
Lighthouse-style efficiency audit for OpenClaw. Scores your instance A+ to F across 6 categories (context injection, cron health, session bloat, config, skil... It is an AI Agent Skill for Claude Code / OpenClaw, with 581 downloads so far.
How do I install Clawzempic?
Run "/install clawzembic" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Clawzempic free?
Yes, Clawzempic is completely free (open-source). You can download, install and use it at no cost.
Which platforms does Clawzempic support?
Clawzempic is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Clawzempic?
It is built and maintained by anna-claudette (@anna-claudette); the current version is v1.0.0.
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