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 storj/claude-plugins --skill monkit-metricsgit clone --depth 1 https://github.com/storj/claude-pluginsWrote 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/storj/claude-plugins/monkit-metrics)<a href="https://agentmods.dev/skills/storj/claude-plugins/monkit-metrics"><img src="https://agentmods.dev/badge/skills/storj/claude-plugins/monkit-metrics.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 | $0.00075 | $0.02396 |
| Opus 5 | $0.00037 | $0.01198 |
| Sonnet 5 | $0.00015 | $0.00479 |
| Haiku 4.5 | $0.00007 | $0.00240 |
Grade A, and why
monkit-metrics scanned grade A with 1 finding 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 7d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
This is the primary path — Thanos sits behind Grafana auth and direct `curl` won't work. How it starts
The opening of the file, as written. The whole thing — 196 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Monkit Prometheus Metrics
Overview
Monkit (defer mon.Task()(&ctx)(&err)) emits two metrics for every instrumented Go method:
function_times— latency (percentiles, min/max, recent samples). Use for "how slow?"function— call counters and concurrency. Use for "how often?" / "how many in flight?" / "how many fail?"
Both share the same name, scope, and environment labels, so you usually query them with the same filter set.
function_times — latency
Structure
function_times{name="...", field="...", kind="...", scope="...", ...}
| Label | Values | Notes |
|---|---|---|
name |
__Receiver__Method or bare func name |
See naming below |
field |
see field table | Most useful: r99, recent |
kind |
success, failure |
Failure r99 can be 100×+ success r99 — always filter |
scope |
package import path with / → _ |
e.g. storj_io_storj_satellite_metainfo |
Values are in seconds — multiply by 1000 for ms.
field values
| Field | Meaning |
|---|---|
count, sum, min, max |
Cumulative since process start |
r10, r50, r90, r99 |
Percentile latency (rolling reservoir) |
rmin, rmax, ravg |
Min/max/avg over the rolling window |
recent |
Most recent observation |
function — call counters & concurrency
Same name/scope/env labels as function_times. No kind label — outcomes are encoded in field.
field values
| Field | Kind | Meaning | How to query |
|---|---|---|---|
total |
counter | All invocations | rate(...[5m]) = total QPS |
successes |
counter | Non-error returns | rate(...[5m]) = success QPS |
failures |
counter | Error returns | rate(...[5m]) = error rate |
errors |
counter | Same as failures in current monkit |
— |
panics |
counter | Go panics caught by monkit | rate(...[5m]) — should be ~0 |
count |
counter | Completed invocations | rate(...[5m]) ≈ rate(total[5m]) |
current |
gauge | In-flight invocations right now | Read as-is |
highwater |
gauge | Peak current ever seen |
Read as-is |
delta |
counter-ish | Completions since last sample | Rarely useful — prefer rate(total) |
What ships with it
1 file 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.
- 7d ago First seen · 196 lines · 75 tokens per session scan A 08a0739875e5
monkit-metrics is a skill published in the GitHub repository storj/claude-plugins (3 stars, last pushed 3mo ago), licensed MIT. It adds 75 tokens to every session and 2,396 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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