gws-richdoc

gws-richdoc is a skill for Claude Code, Codex from Canvas-LMS-MCP/canvas-teacher-mcp. It costs 97 tokens per session (2,320 once invoked), scanned A, original, MIT.

A fixed procedure for creating visually formatted Google Docs with banners, section boxes, badges, callouts, bullets, and code blocks.

In plain words
What is it for?
Use it to create polished Google Docs from structured content, especially guides containing steps, tips, warnings, and code examples.
Why use it?
It keeps generated documents consistent and avoids manually rebuilding the formatting each time. The content can change while the approved document style stays fixed.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: reads .claude/ paths.

Good fit Use it to create polished Google Docs from structured content, especially guides containing steps, tips, warnings, and code examples.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/canvas-lms-mcp/canvas-teacher-mcp/gws-richdoc
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.

Any agent
npx skills add Canvas-LMS-MCP/canvas-teacher-mcp --skill gws-richdoc
Clone the repo
git clone --depth 1 https://github.com/Canvas-LMS-MCP/canvas-teacher-mcp

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 gws-richdoc

README.md
[![agentmods](https://agentmods.dev/badge/skills/canvas-lms-mcp/canvas-teacher-mcp/gws-richdoc/github.svg)](https://agentmods.dev/skills/canvas-lms-mcp/canvas-teacher-mcp/gws-richdoc)
Your own site
<a href="https://agentmods.dev/skills/canvas-lms-mcp/canvas-teacher-mcp/gws-richdoc"><img src="https://agentmods.dev/badge/skills/canvas-lms-mcp/canvas-teacher-mcp/gws-richdoc/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 gws-richdoc

Your own site · 80×15
<a href="https://agentmods.dev/skills/canvas-lms-mcp/canvas-teacher-mcp/gws-richdoc"><img src="https://agentmods.dev/badge/skills/canvas-lms-mcp/canvas-teacher-mcp/gws-richdoc.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 97 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,320 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 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 $0.00097 $0.02320
Opus 5 $0.00048 $0.01160
Sonnet 5 $0.00019 $0.00464
Haiku 4.5 $0.00010 $0.00232

Measured 12d ago against content hash 0555d024e38e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

gws-richdoc 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.

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.

src/canvas_teacher_mcp/_data/skills/gws-richdoc/SKILL.md · 120 lines

How it starts

The opening of the file, as written. The whole thing — 120 lines — stays where its author put it; the contents beside it link to each section on GitHub.

gws-richdoc — Rich Google Doc, ONE fixed look

Why this exists: hand-writing the HTML each session made every doc look different (rainbow vs navy badges, boxes present/absent, no spacing). The fix is a single deterministic generator: build.py. You assemble a list of block specs and call build — the blocks, colors, fonts, spacing, and code coloring are FIXED in code, so every session produces the same look.

RULE: never hand-author rich-doc HTML. Build the content as block specs and run build.py. The only thing that changes between docs is the text, never the formatting.

Files

gws-richdoc/
├── SKILL.md       (this — the rules + how to call build.py)
└── build.py       (the fixed generator: block builders + import + refine + code coloring)

build.py EXISTS and is verified (built 2026-06-22). Architecture = HYBRID: AI = WHAT (raw input → block specs + content + post-import QA), build.py = HOW (final look; AI never restyles — that is what made every doc look different). Two entry points:

  • make(blocks, name, folder_id, code_mode) → NEW doc (create gdoc → HTML-import → refine). Verified to match this master template; inline font-size survives import.
  • colorize_code_cell(doc_id, lang, mode, which) → color code in an EXISTING doc in place (no re-import → images/edits preserved). Use for docs with images.

Code coloring: shell (regex) + Python (stdlib tokenize, no pygments; robust to broken code). Python docstring modes: mode="correct" (docstring = ONE string color, real-editor accurate) vs mode="pretty" (docstring inner re-tokenized & colored — reads like live code). New .py creation is blocked by the code-gate hook → open via ~/.claude/.code-gate. gws call shape: --params = URL/query (documentId), --json = body (requests).

  • Visual master reference (Drive): 1UzJhVARxgVB_49KcJg5BxyqIxeKPTiJnf1iRDBEVt6I (the skill template deck). Open it to SEE the canonical look. build.py reproduces it.

Read the full file on GitHub · 120 lines

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 · 120 lines · 97 tokens per session scan A 0555d024e38e

Subscribe to this mod's changes

gws-richdoc is a skill published in the GitHub repository Canvas-LMS-MCP/canvas-teacher-mcp (1 stars, last pushed 27d ago), licensed MIT. It adds 97 tokens to every session and 2,320 once invoked, about $0.0005 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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