author

author is a skill for Claude Code, Codex from agentlas-ai/agentlas-desktop. It costs 16 tokens per session (510 once invoked), scanned A, original, Apache-2.0.

A format for describing a chart from table data so Agentlas Desktop or Web can render it. It supports chart types such as bar, line, and scatter charts, along with labels, sizes, and tooltips.

In plain words
What is it for?
Use it to define charts from inline table rows for Agentlas interfaces.
Why use it?
It keeps chart inputs portable and bounded while preventing secrets, arbitrary web addresses, and executable code from being included.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/agentlas-ai/agentlas-desktop/author
Any agent
npx skills add agentlas-ai/agentlas-desktop --skill author
Clone the repo
git clone --depth 1 https://github.com/agentlas-ai/agentlas-desktop

Made for: Claude Code, Codex.

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 author

README.md
[![agentmods](https://agentmods.dev/badge/skills/agentlas-ai/agentlas-desktop/author.svg)](https://agentmods.dev/skills/agentlas-ai/agentlas-desktop/author)
Your own site
<a href="https://agentmods.dev/skills/agentlas-ai/agentlas-desktop/author"><img src="https://agentmods.dev/badge/skills/agentlas-ai/agentlas-desktop/author.svg" alt="Measured on agentmods" height="20"></a>
Per session 16 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 510 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00016 $0.00510
Opus 5 $0.00008 $0.00255
Sonnet 5 $0.00003 $0.00102
Haiku 4.5 $0.00002 $0.00051

Measured 4d ago against content hash 61bd6d835d6d, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

author 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 4d 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.

plugins/flint-chart/skills/author/SKILL.md · 63 lines

What it actually says

Purpose

Turn a table into a portable data.<name>.flint object. The host compiles the same object to Vega-Lite and renders it with the local Desktop runtime or the Web server runtime. This skill is an authoring contract, not a compiler.

Input shape

Put the chart input beside the table rows and reference it with a chart widget:

{
  "data": {
    "sales": {
      "type": "table",
      "rows": [{"month": "Jan", "revenue": 120}],
      "flint": {
        "chart_spec": {
          "chartType": "Bar Chart",
          "title": "Revenue by month",
          "encodings": {"x": "month", "y": "revenue"},
          "baseSize": {"width": 560, "height": 320},
          "canvasSize": {"width": 900, "height": 520}
        },
        "semantic_types": {"month": "Month", "revenue": "Currency"},
        "options": {"addTooltips": true}
      }
    }
  },
  "widgets": [{"type": "chart", "data": "sales"}]
}

Rules

  • Use inline rows only. Never put secrets, credentials, arbitrary URLs, or executable expressions in the chart input.
  • Keep the table bounded: at most 2,000 rows and 64 columns for a chart.
  • Use a real Flint template name such as Bar Chart, Line Chart, or Scatter Plot; encodings refer only to fields present in the rows.
  • Mark important numeric claims with the surrounding Surface evidence/claims fields. A chart is not evidence by itself.
  • Preserve the table as the source of truth. The chart is a view over the rows, not a second copy of the dataset.

Verification

The host rejects oversized or malformed input, disallows remote data sources, and reports a renderer error instead of silently showing a blank chart. A successful Desktop/Web render means the input compiled and the Vega renderer completed; it does not verify the underlying data claims.

Provenance

This workflow follows the public Flint Chart authoring contract: https://github.com/microsoft/flint-chart/blob/main/agent-skills/flint-chart-author/SKILL.md

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. 4d ago First seen · 63 lines · 16 tokens per session scan A 61bd6d835d6d

Subscribe to this mod's changes

author is a skill published in the GitHub repository agentlas-ai/agentlas-desktop (5 stars, last pushed yesterday), licensed Apache-2.0. It adds 16 tokens to every session and 510 once invoked, about $0.0001 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 2026-08-31.

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