microsoft/cat-agent-skills is a static website that catalogs reusable instruction sets and related packages for AI agents. People use it to search, filter, rate, and download skills for Cowork, Copilot Studio, and Scout, along with Copilot plugins and Scout automations. The catalogue entries are the skills, instructions, plugins, and settings displayed by the site.
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 microsoft/cat-agent-skills --skill gantt-chart-generatorgit clone --depth 1 https://github.com/microsoft/cat-agent-skillsWrote 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/microsoft/cat-agent-skills/gantt-chart-generator)<a href="https://agentmods.dev/skills/microsoft/cat-agent-skills/gantt-chart-generator"><img src="https://agentmods.dev/badge/skills/microsoft/cat-agent-skills/gantt-chart-generator/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.
<a href="https://agentmods.dev/skills/microsoft/cat-agent-skills/gantt-chart-generator"><img src="https://agentmods.dev/badge/skills/microsoft/cat-agent-skills/gantt-chart-generator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00083 | $0.00614 |
| Opus 5 | $0.00042 | $0.00307 |
| Sonnet 5 | $0.00017 | $0.00123 |
| Haiku 4.5 | $0.00008 | $0.00061 |
Grade A, and why
gantt-chart-generator 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 10d 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.
How it starts
The opening of the file, as written. The whole thing — 54 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Generate horizontal Gantt charts from schedule data via the bundled scripts/gantt.py toolkit.
The gantt() function accepts a DataFrame or file path plus column names, and saves a PNG (returning the path).
It handles theming, date parsing, bar colour-coding, completion overlays, today-line, legend, and saving.
Instructions
-
Provide the data source: a pandas DataFrame, or a path to a
.csv/.tsv/.jsonfile.- One row = one task / phase.
- Required columns: a phase/task name column, a start date column, and either an end date column OR a duration-in-days column.
-
Import and call
gantt():
import sys
sys.path.insert(0, "scripts") # adjust path to where gantt.py is deployed
from gantt import gantt
# Basic — start + end columns
gantt("schedule.csv", phase="Phase", start="Start", end="End",
title="Project Schedule", out="gantt.png")
# Group colour-coding + today line
gantt(df, phase="phase", start="planned_start", end="planned_end",
group="project", today=True, out="schedule.png")
# Duration instead of end date
gantt(df, phase="task", start="start_date", duration="days",
out="schedule.png")
# Completion % hatch overlay
gantt(df, phase="Phase", start="Start", end="End",
completion="PctDone", out="gantt.png")
- See
references/cheatsheet.mdfor full parameter reference and CLI examples.
Bundled files
scripts/gantt.py— the full toolkit (load_data, apply_theme, save_fig, gantt, CLI)references/cheatsheet.md— parameter quick-reference and copy-paste examplesassets/sample_schedule.csv— demo dataset that exercises every feature
Defaults & behaviour
- Colorblind-friendly palette (matches chart-builder skill for visual consistency).
- Date axis auto-scales: weekly ticks ≤90 days, monthly ≤365 days, bi-monthly beyond.
- Bars ordered top-to-bottom matching input row order.
- Rows with missing phase or start values are silently dropped before drawing.
- Output PNG at 150 DPI by default.
- Provide
endORduration— not both;endtakes priority if both are present.
What ships with it
5 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.
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.
- 10d ago First seen · 54 lines · 83 tokens per session scan A 0ea7721b8c6d
gantt-chart-generator is a skill published in the GitHub repository microsoft/cat-agent-skills (66 stars, last pushed today), licensed MIT. It adds 83 tokens to every session and 614 once invoked, about $0.0004 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.
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