Read-only 3-metric governance glance — override rate, small-lane rate, sprint low-confidence ratio — each with a trend arrow vs. the prior 20-commit window.
npx skills add https://github.com/arbiterForge/codeArbiter --skill ca-metrics
A bare-numbers summary of the three governance-health metrics that _metricslib.py
tracks across commit windows. Each metric shows its value for the current 20-commit
window and a direction arrow (↑/↓/→) relative to the immediately preceding window.
This is NOT a second $ca-audit packet. It prints numbers and arrows only — no
verbatim override lines, no commit list, no file write. Use it to spot a trend at a
glance; reach for $ca-audit when you need the full evidentiary packet.
metrics.py, which wrapscompute from _metricslib.py, via a Windows-safe python3 … || python …
fallback. Pass <project-root> as --root. If --window N was
supplied, pass it through as --window N; otherwise omit it (the helper
applies the default of 20).
python3 "${CLAUDE_PLUGIN_ROOT}/hooks/metrics.py" --root "<project-root>" || python "${CLAUDE_PLUGIN_ROOT}/hooks/metrics.py" --root "<project-root>"
> ensure_ascii note — do not remove this. metrics.py calls json.dumps
> with its default ensure_ascii=True. This ASCII-escapes the arrow glyphs
> (↑↓→) in the subprocess stdout, which avoids a UnicodeEncodeError on Windows
> cp1252 consoles that cannot encode those code-points raw. The rendered output
> you present to the user (step 2 below) uses the real glyphs — they are written
> by the assistant, not piped through the subprocess stdout. Do NOT add
> ensure_ascii=False here.
With a custom window size:
python3 "${CLAUDE_PLUGIN_ROOT}/hooks/metrics.py" --root "<project-root>" --window N || python "${CLAUDE_PLUGIN_ROOT}/hooks/metrics.py" --root "<project-root>" --window N
Replace N with the integer the user supplied.
one per metric, in this order:
override rate: <current> <arrow> (prior: <prior>)
small-lane rate: <current> <arrow> (prior: <prior>)
sprint low-conf ratio: <current> <arrow> (prior: <prior>)
sprint_low_conf_ratio, the current or prior value may be the string"n/a" — render it literally (e.g. n/a ↑).
override_rate and sprint_low_conf_ratio is a worsening signal; statethis briefly below the table so the reader does not have to guess.
Window: 20 commits (default) or Window: N commits (--window N).
git status MUST be unchanged after a run.
override_rate, small_lane_rate,sprint_low_conf_ratio. MUST NOT emit verbatim override log lines, verbatim
triage entries, commit lists, or any other content from the governance logs.
$ca-init to have been run. The helper degrades gracefully onabsent logs (counts return 0 / ratio returns "n/a"); surface the degraded
values as-is rather than blocking.
the error and stop — do not fabricate metric values.
$ca-audit.$ca-status.Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify existing spreadsheets while preserving formulas, (4) Data analysis and visualization in spreadsheets, or (5) Recalculating formulas
Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting, cleaning messy data); create a new spreadsheet from scratch or from other data sources; or convert between tabular file formats. Trigger especially when the user references a spreadsheet file by name or path — even casually (like \"the xlsx in my downloads\") — and wants something done to it or produced from it. Also trigger for cleaning or restructuring messy tabular data files (malformed rows, misplaced headers, junk data) into proper spreadsheets. The deliverable must be a spreadsheet file. Do NOT trigger when the primary deliverable is a Word document, HTML report, standalone Python script, database pipeline, or Google Sheets API integration, even if tabular data is involved.
Picks random winners from lists, spreadsheets, or Google Sheets for giveaways, raffles, and contests. Ensures fair, unbiased selection with transparency.
Query openFDA API for drugs, devices, adverse events, recalls, regulatory submissions (510k, PMA), substance identification (UNII), for FDA regulatory data analysis and safety research.
MATLAB and GNU Octave numerical computing for matrix operations, data analysis, visualization, and scientific computing. Use when writing MATLAB/Octave scripts for linear algebra, signal processing, image processing, differential equations, optimization, statistics, or creating scientific visualizations. Also use when the user needs help with MATLAB syntax, functions, or wants to convert between MATLAB and Python code. Scripts can be executed with MATLAB or the open-source GNU Octave interpreter.
UMAP dimensionality reduction. Fast nonlinear manifold learning for 2D/3D visualization, clustering preprocessing (HDBSCAN), supervised/parametric UMAP, for high-dimensional data.
Creating interactive data visualisations using d3.js. This skill should be used when creating custom charts, graphs, network diagrams, geographic visualisations, or any complex SVG-based data visualisation that requires fine-grained control over visual elements, transitions, or interactions. Use this for bespoke visualisations beyond standard charting libraries, whether in React, Vue, Svelte, vanilla JavaScript, or any other environment.
Access AlphaFold 200M+ AI-predicted protein structures. Retrieve structures by UniProt ID, download PDB/mmCIF files, analyze confidence metrics (pLDDT, PAE), for drug discovery and structural biology.
Take arbiterforge/ca-metrics from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.