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 agentmods add skills/rcarmo/piclaw-addons/usage-telemetry-chartnpx skills add rcarmo/piclaw-addons --skill usage-telemetry-chartgit clone --depth 1 https://github.com/rcarmo/piclaw-addonsWrote 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/rcarmo/piclaw-addons/usage-telemetry-chart)<a href="https://agentmods.dev/skills/rcarmo/piclaw-addons/usage-telemetry-chart"><img src="https://agentmods.dev/badge/skills/rcarmo/piclaw-addons/usage-telemetry-chart.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00019 | $0.00199 |
| Opus 5 | $0.00010 | $0.00100 |
| Sonnet 5 | $0.00004 | $0.00040 |
| Haiku 4.5 | $0.00002 | $0.00020 |
Grade A, and why
usage-telemetry-chart 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 2d 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
Usage telemetry chart
Render a seven-day, multi-colour stacked SVG chart from the configured Graphite render endpoint:
bun ./usage-telemetry-chart.ts --render-url http://graphite:8080 --prefix piclaw
--prefix is the Graphite root before the instance segment and defaults to piclaw. Optional filters: --instance, --provider, --model, --metric tokens.total, and --days 7.
The chart reads instance-first paths such as piclaw.smith.usage.github-copilot.gpt_5_6_sol.tokens.total. It does not query the pre-0.1.14 piclaw.usage.<instance>... namespace.
The exporter add-on must be configured and have sent metrics before this chart has data.
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 2d ago Changed · +2 lines 166e04252fe7
- 6d ago First seen · 18 lines · 19 tokens per session scan A 62b69396b93a
usage-telemetry-chart is a skill published in the GitHub repository rcarmo/piclaw-addons (23 stars, last pushed yesterday), licensed MIT. It adds 19 tokens to every session and 199 once invoked, about $0.0001 per session on Opus 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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