hardwood: Skill for Claude Code

.claude/skills/parquet-dev-ml/SKILL.md

parquet-dev-ml is a skill for Claude Code from hardwood-hq/hardwood. It costs 117 tokens per session (864 once invoked), scanned A, original, Apache-2.0.

A search tool for the Apache Parquet developer mailing list, which is a public email discussion archive for the Parquet project.

In plain words
What is it for?
Use it to find, read, or quote discussions on the parquet-dev mailing list by downloading and searching monthly archives.
Why use it?
It provides a reliable way to find threads in the raw monthly archives when the website's browsing interface is incomplete or difficult to search.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

This is hardwood-hq/hardwood's own configuration. It tells Claude Code how to work on hardwood 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 hardwood configures →

Reuse

Borrowing it

Nothing to install: this file belongs to hardwood-hq/hardwood. 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/hardwood-hq/hardwood/main/.claude/skills/parquet-dev-ml/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/hardwood-hq/hardwood

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 parquet-dev-ml

README.md
[![agentmods](https://agentmods.dev/badge/skills/hardwood-hq/hardwood/parquet-dev-ml/github.svg)](https://agentmods.dev/skills/hardwood-hq/hardwood/parquet-dev-ml)
Your own site
<a href="https://agentmods.dev/skills/hardwood-hq/hardwood/parquet-dev-ml"><img src="https://agentmods.dev/badge/skills/hardwood-hq/hardwood/parquet-dev-ml/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 parquet-dev-ml

Your own site · 80×15
<a href="https://agentmods.dev/skills/hardwood-hq/hardwood/parquet-dev-ml"><img src="https://agentmods.dev/badge/skills/hardwood-hq/hardwood/parquet-dev-ml.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 117 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 864 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original 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 $0.00117 $0.00864
Opus 5 $0.00059 $0.00432
Sonnet 5 $0.00023 $0.00173
Haiku 4.5 $0.00012 $0.00086

Measured 12d ago against content hash be3a43e7d2de, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

parquet-dev-ml 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 12d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (mlfetch.sh, thread.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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/parquet-dev-ml/SKILL.md · 61 lines

How it starts

The opening of the file, as written. The whole thing — 61 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Search the parquet-dev mailing list

The lists.apache.org browse UI is a JavaScript app and its stats.lua JSON gets truncated/hallucinated when read through a summarizing web fetch. The reliable path is to download the raw monthly mbox archive and grep it locally. This skill encodes that path.

Archive URL (per calendar month):

https://lists.apache.org/api/mbox.lua?list=dev&domain=parquet.apache.org&d=YYYY-MM

Caching rule

  • Past months are immutable — download once and reuse the cached copy.
  • The current month is live — always re-download it, because new messages arrive continuously.

mlfetch.sh implements exactly this: it re-fetches YYYY-MM if it equals the current month (date +%Y-%m) or the cache file is missing/empty, otherwise it reuses the cache. Cache lives at ${PARQUET_ML_CACHE:-${XDG_CACHE_HOME:-$HOME/.cache}/parquet-dev-ml}.

Procedure

All commands assume the skill directory:

SKILL="/workspace/.claude/skills/parquet-dev-ml"
  1. Fetch the month(s) you need. Pass one or more YYYY-MM. It prints the local mbox path(s):

    "$SKILL/mlfetch.sh" 2026-07                 # current month → always re-downloaded
    "$SKILL/mlfetch.sh" 2026-05 2026-06 2026-07 # older months served from cache
    

    If you don't know when a thread happened, fetch the last few months and grep across all of them. Widen the range rather than guessing a single month.

  2. List subjects / find the thread. Grep the mbox(es) directly:

    CACHE="${PARQUET_ML_CACHE:-$HOME/.cache/parquet-dev-ml}"
    grep -hi '^Subject:' "$CACHE"/parquet-dev-2026-07.mbox | sort -u        # every subject
    grep -hi '^Subject:.*thrift' "$CACHE"/parquet-dev-*.mbox | sort -u      # by keyword
    

    Note the wording of subjects: a [DISCUSS]/[VOTE]/[ANNOUNCE] prefix and phrasing may differ from how the user remembers it (e.g. the user's "Inline parquet.thrift" was really [DISCUSS] Inline parquet.thrift into parquet-java). Match on a distinctive substring, not the exact remembered title.

Read the full file on GitHub · 61 lines

Files

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.

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. 12d ago First seen · 61 lines · 117 tokens per session scan A be3a43e7d2de

Subscribe to this mod's changes

parquet-dev-ml is a skill published in the GitHub repository hardwood-hq/hardwood (372 stars, last pushed today), licensed Apache-2.0. It adds 117 tokens to every session and 864 once invoked, about $0.0006 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.

Related

Other skills, from other repositories

evalscope

LLM evaluation & inference performance testing via the evalscope CLI. Translates natural language requests into evalscope commands for: (1) Model accuracy evaluation — runs registered benchmarks against local checkpoints or API endpoints (OpenAI-compatible, Anthropic, LiteLLM); (2) Performance stress testing — TTFT…

modelscope/evalscope · 195 tokens

hotpath_init

Configure hotpath profiling in a Rust project. Adds the hotpath dependency with feature-gated setup, instruments main with hotpath::main, functions with measure/measureall, and wraps channels, mutexes, rwlocks, streams, futures, reqwest clients, axum routers and byte-level I/O with hotpath macros. Use when the user…

pawurb/hotpath-rs · 88 tokens

opentelemetry-net-instrumentation

Provides guidance for implementing OpenTelemetry instrumentation in .NET codebases, covering tracing (Activities/Spans), metrics, logs, naming conventions, error handling, performance, SDK setup, resources, context propagation, and API design best practices.

Aaronontheweb/dotnet-skills · 56 tokens

hotpath_bump

Bump the hotpath version number across the workspace and related files. Updates crate versions in Cargo.toml files (exact patch version) and version references in the backend middleware, hotpathinit skill, and README (major.minor only). Use when the user wants to bump, bump the version, or release a new hotpath…

pawurb/hotpath-rs · 73 tokens

database-performance

Database access patterns for performance. Separate read/write models, avoid N+1 queries, use AsNoTracking, apply row limits, and never do application-side joins. Works with EF Core and Dapper.

Aaronontheweb/dotnet-skills · 44 tokens

codspeed-optimize

Autonomously optimize code for performance using CodSpeed benchmarks, flamegraph analysis, and iterative improvement. Use this skill whenever the user wants to make code faster, reduce CPU usage, optimize memory, improve throughput, find performance bottlenecks, or asks to 'optimize', 'speed up', 'make faster'…

CodSpeedHQ/codspeed · 113 tokens