ollama-inference-metrics SKILL.md skillA
This file is byte-identical to the first copy the registry indexed. Same content hash, so the same checks give both the same grade.
ollama-inference-metrics from vecnode/vn-code is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add vecnode/vn-code/ollama-inference-metrics@git:20261019.54965a1Pins git:20261019.54965a1 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- vecnode/vn-code
- Path
packages/dsh-ollama/skills/ollama-inference-metrics/SKILL.md- Versions recorded
- 1
- Latest version
- git:20261019.54965a1, committed Oct 19, 2026
- Size
- 10,362 bytes
- Repository stars
- 10
- License
- AGPL-3.0
What every Ollama timing field means and the arithmetic that turns it into a claim - tokens per second, time-to-first-token, why total_duration is not latency, why a second run is faster, what changes with context length, quantization, GPU offload and parallel requests - plus the reporting rules that make a benchmark a measurement instead of an anecdote.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Inference metrics
A tok/s number without its conditions is not a measurement; it is a sentence
about one moment. This skill is the arithmetic and the reporting contract.
## The fields, and what each one covers
Every field below comes from the daemon's final response object, in
NANOSECONDS. Nothing has to be inferred:
| field | unit | covers |
|---|---|---|
| `load_duration` | ns | loading the weights into memory. **0 when they were already resident.** |
| `prompt_eval_count` | tokens | the prompt, tokenized |
| `prompt_eval_duration` | ns | evaluating the prompt |
| `eval_count` | tokens | tokens generated |
| `eval_duration` | ns | generating them |
| `total_duration` | ns | the daemon's whole span for the request |
The two rates a reader cares about are divisions of those pairs:
tok/s = eval_count / (eval_duration / 1e9)
prompt tok/s = prompt_eval_count / (prompt_eval_duration / 1e9)
and time-to-first-token is the wait before the first generated token:
TTFT = load_duration + prompt_eval_duration
with one caveat that matters: that formula is the daemon's account. A client
…Read the whole file at its exact version.
How to install
mdr add vecnode/vn-code/ollama-inference-metrics@sha256:0ef9bde35c942e60The line at the top of this page pins the label git:20261019.54965a1, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_7dg7vrc7oo7txnko)
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Versions
The registry has recorded 1 version of this file, committed on Oct 19, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (10362 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
vecnode/vn-code · 10 stars · license AGPL-3.0 · pushed 2026-10-20 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_7dg7vrc7oo7txnko GET https://markdownregistry.com/api/v1/resolve?ref=vecnode/vn-code/ollama-inference-metrics GET https://markdownregistry.com/api/v1/blob/0ef9bde35c942e607f2c2d441bb858e86128aec880b139781b56e3f9a31c4c7f
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.