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 clawmetry-selfcheckgit 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-selfcheck)<a href="https://agentmods.dev/skills/vivekchand/clawmetry/clawmetry-selfcheck"><img src="https://agentmods.dev/badge/skills/vivekchand/clawmetry/clawmetry-selfcheck/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-selfcheck"><img src="https://agentmods.dev/badge/skills/vivekchand/clawmetry/clawmetry-selfcheck.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00064 | $0.00521 |
| Opus 5.5 | $0.00026 | $0.00208 |
| Sonnet 5.5 | $0.00013 | $0.00104 |
| Haiku 4.5 | $0.00006 | $0.00052 |
Grade A, and why
clawmetry-selfcheck 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.
What it actually says
ClawMetry self-check
ClawMetry observes AI agent sessions on this machine (read-only). Use its CLI to see your own telemetry and improve your behaviour mid-task.
All commands are read-only, exit 3 when ClawMetry has no data source
running (safe to skip silently), and support --json.
The 3-step check (run before finishing a task)
# 1. Re-read tax: files you paid to read more than once
clawmetry waste --since 6h --json
# 2. Spinning check: forward progress + loop signals
clawmetry progress --json
# 3. Spend check
clawmetry usage --json
How to act on what you find
| Signal | Action |
|---|---|
A file with reads > 3 in waste |
Stop re-reading it. Write its structure into your working notes once; use offset-ranged reads for big files. |
High ratio (tokens per state-delta) in progress |
You are burning tokens without producing new state. Write down what you tried, change strategy. |
loop_signals non-empty |
You repeated near-identical calls. Do not retry the same thing; diagnose instead. |
Cost spike in usage |
Check usage --by model: are you using a bigger model than the task needs? |
Digging deeper
clawmetry sessions --active # who is running
clawmetry sessions <SID> --transcript # what actually happened
clawmetry sessions <SID> --cost # where the money went (incl. sub-agents)
clawmetry sessions <SID> --errors # error events only
clawmetry activity --follow --max-events 50 # live NDJSON event stream
clawmetry usage --efficiency # A-F efficiency grade
Exit codes: 0 ok, 3 no data source (skip), 4 feature needs an upgrade
(stderr carries a JSON body with upgrade_url; surface it to your human).
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 · 49 lines · 64 tokens per session scan A 7522d4dd6191
clawmetry-selfcheck is a skill published in the GitHub repository vivekchand/clawmetry (436 stars, last pushed today), licensed MIT. It adds 64 tokens to every session and 521 once invoked, about $0.0003 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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