Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add vivekchand/clawmetry --skill clawmetrygit clone --depth 1 https://github.com/vivekchand/clawmetryWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/vivekchand/clawmetry/clawmetry)<a href="https://agentmods.dev/skills/vivekchand/clawmetry/clawmetry"><img src="https://agentmods.dev/badge/skills/vivekchand/clawmetry/clawmetry/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/vivekchand/clawmetry/clawmetry"><img src="https://agentmods.dev/badge/skills/vivekchand/clawmetry/clawmetry.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Rogue Agent · line 31 Skill modifies its own code, configuration, or behavior at runtime. Self-modification enables an agent to escalate privileges, disable safety constraints, or install persistent backdoors.Fix: Prevent the skill from modifying its own code, SKILL.md, or configuration files. Treat skill files as read-only at runtime.
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00051 | $0.00927 |
| Opus 5.5 | $0.00020 | $0.00371 |
| Sonnet 5.5 | $0.00010 | $0.00185 |
| Haiku 4.5 | $0.00005 | $0.00093 |
Grade A, and why
clawmetry scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ClawMetry Observability
You have access to ClawMetry — a full observability platform for OpenClaw agents. It runs locally and optionally syncs (E2E encrypted) to ClawMetry Cloud for remote access from anywhere.
Local Dashboard
The ClawMetry dashboard runs at http://localhost:8900 and provides:
- Overview — active sessions, total costs, token usage, system health
- Sessions — per-session token/cost breakdown, transcript viewer
- Brain — live feed of every LLM call with model, tokens, and latency
- Flow — animated architecture diagram showing real-time tool calls
- Memory — workspace memory file viewer (MEMORY.md, SOUL.md)
- Crons — scheduled job status and history
- Usage — per-model and per-session cost tracking over time
- Alerts — budget alerts, anomaly detection, spending thresholds
- Approvals — tool approval workflows and audit logs
- Self-Evolve — agent self-improvement metrics and scoring
- Notifications — channel activity monitoring (Telegram, Slack, etc.)
ClawMetry Cloud
When cloud sync is enabled (clawmetry connect), all telemetry is AES-256-GCM encrypted before leaving the machine and synced to clawmetry.com. This enables:
- Remote access — monitor your agents from any device, anywhere
- Multi-node fleet view — single dashboard for agents across multiple machines
- Persistent history — telemetry survives machine restarts and disk cleanups
- Team sharing — share observability with collaborators (coming soon)
The encryption key never leaves your machine. ClawMetry Cloud cannot read your data.
Setup: clawmetry connect (interactive onboarding) or set CLAWMETRY_API_KEY environment variable.
Data collected
ClawMetry observes diagnostic events from the OpenClaw runtime:
- Model usage — provider, model, input/output/cache tokens, cost, latency per LLM call
- Session lifecycle — start, end, state changes, stuck detection
- Tool calls — tool name, parameters, results, duration, errors
- Gateway logs — structured log forwarding for debugging
- Message flow — inbound/outbound message tracking across channels
- System health — heartbeats, uptime, active session counts
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 85 lines · 51 tokens per session scan A 468b9c10f758
clawmetry is a skill published in the GitHub repository vivekchand/clawmetry (427 stars, last pushed today), licensed MIT. It adds 51 tokens to every session and 927 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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