mlx-serve: Skill for Claude Code

.claude/skills/pr-charts/SKILL.md

pr-charts is a skill for Claude Code from ddalcu/mlx-serve. It costs 66 tokens per session (623 once invoked), scanned A, original, no licence file.

A chart-building workflow for turning llmprobe performance reports into charts for a pull request, which is a proposed code change for review.

In plain words
What is it for?
It helps create and host benchmark charts so they render in a pull request description.
Why use it?
It makes speed claims easier to inspect by showing each test variant and point with its context, machine, and model details.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

This is ddalcu/mlx-serve's own configuration. It tells Claude Code how to work on mlx-serve itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything mlx-serve configures →

Reuse

Borrowing it

Nothing to install: this file belongs to ddalcu/mlx-serve. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/ddalcu/mlx-serve/main/.claude/skills/pr-charts/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/ddalcu/mlx-serve

Made for: Claude Code.

Wrote 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.

agentmods badge for pr-charts

README.md
[![agentmods](https://agentmods.dev/badge/skills/ddalcu/mlx-serve/pr-charts/github.svg)](https://agentmods.dev/skills/ddalcu/mlx-serve/pr-charts)
Your own site
<a href="https://agentmods.dev/skills/ddalcu/mlx-serve/pr-charts"><img src="https://agentmods.dev/badge/skills/ddalcu/mlx-serve/pr-charts/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.

agentmods 80×15 button for pr-charts

Your own site · 80×15
<a href="https://agentmods.dev/skills/ddalcu/mlx-serve/pr-charts"><img src="https://agentmods.dev/badge/skills/ddalcu/mlx-serve/pr-charts.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 66 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 623 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00066 $0.00623
Opus 5.5 $0.00026 $0.00249
Sonnet 5.5 $0.00013 $0.00125
Haiku 4.5 $0.00007 $0.00062

Measured 29d ago against content hash 2b340b6ad958, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

pr-charts 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 29d 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.

.claude/skills/pr-charts/SKILL.md · 26 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

Changes

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.

  1. 29d ago First seen · 26 lines · 66 tokens per session scan A 2b340b6ad958

Subscribe to this mod's changes

pr-charts is a skill published in the GitHub repository ddalcu/mlx-serve (2,105 stars, last pushed today), with no licence file. It adds 66 tokens to every session and 623 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 2026-09-28.

Related

Other skills, from other repositories

review-prs

Review a GitHub pull request in the googleapis/mcp-toolbox repo against the team's reviewer checklist: PR title/description conventions, linked issue, logic errors and unhandled edge cases, breaking changes, test coverage, docs updates, security (input handling), and new dependencies. Use whenever a maintainer asks…

googleapis/mcp-toolbox · 162 tokens

github

GitHub operations via gh CLI: issues, PRs, CI runs, code review, API queries. Use when: (1) checking PR status or CI, (2) creating/commenting on issues, (3) listing/filtering PRs or issues, (4) viewing run logs. NOT for: complex web UI interactions requiring manual browser flows (use browser tooling when available)…

opensquilla/opensquilla · 101 tokens

groq-inference

Ultra-fast LLM inference on custom LPU hardware. OpenAI-compatible API at api.groq.com. Lowest latency in the industry (500-1000+ tok/s). Supports chat completions, vision, audio (Whisper STT + TTS), tool calling, JSON mode, and streaming. Free tier available. Inference only — no training.

synthetic-sciences/openscience · 77 tokens

hypotheses

Turns a research direction into testable hypotheses with predictions, competing explanations and the experiments that discriminate between them, including the design (controls, randomization, blocking), sample size or seed count, the pre-specified analysis, and the result that would falsify each hypothesis. Use when a…

synthetic-sciences/openscience · 99 tokens

meta-codereview-current-diff

Read the current uncommitted diff, run three independent reviewers (safety + tests-coverage + style) in parallel, then arbitrate a single BLOCK / BLOCKWITHOVERRIDE / PASSWITHNOTES verdict. Use before commit when you want a multi-perspective second-opinion instead of a single-reviewer agent loop.

opensquilla/opensquilla · 73 tokens

control-center-review

Review one captured Control Center build before runtime activation.

openonion/connectonion · 14 tokens