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 phanghonghao/THU-Awesome-Skills --skill assignment-wordgit clone --depth 1 https://github.com/phanghonghao/THU-Awesome-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/phanghonghao/thu-awesome-skills/assignment-word)<a href="https://agentmods.dev/skills/phanghonghao/thu-awesome-skills/assignment-word"><img src="https://agentmods.dev/badge/skills/phanghonghao/thu-awesome-skills/assignment-word/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/phanghonghao/thu-awesome-skills/assignment-word"><img src="https://agentmods.dev/badge/skills/phanghonghao/thu-awesome-skills/assignment-word.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00076 | $0.01226 |
| Opus 5 | $0.00038 | $0.00613 |
| Sonnet 5 | $0.00015 | $0.00245 |
| Haiku 4.5 | $0.00008 | $0.00123 |
Grade A, and why
assignment-word 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 — 114 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Assignment Word Editor (docx_editor.py)
Programmatically edit Word (.docx) documents using python-docx. Supports text replacement (preserving formatting), batch placeholder filling, image insertion, and table data filling.
When to Use
- User mentions: "assignment-word", "docx_editor", "填Word", "填docx", "Word填写", "replace docx"
- Need to inspect, fill, or modify a Word document programmatically
- After converting PDF to Word with
pdf2word, need to fill in content
Dependencies
python -m pip install python-docx 2>&1 | tail -3
Commands
info — Print document structure
Prints paragraphs, tables, headers/footers with index numbers for targeting edits.
PYTHONIOENCODING=utf-8 python "<LOCAL_USER>/.claude/skills/assignment-word/docx_editor.py" info "<docx_path>"
replace — Find and replace text (preserving formatting)
PYTHONIOENCODING=utf-8 python "<LOCAL_USER>/.claude/skills/assignment-word/docx_editor.py" replace "<docx_path>" --old "OLD_TEXT" --new "NEW_TEXT" [-o output.docx]
fill — Batch replace placeholders from JSON
JSON format: { "placeholder1": "value1", "placeholder2": "value2" }
PYTHONIOENCODING=utf-8 python "<LOCAL_USER>/.claude/skills/assignment-word/docx_editor.py" fill "<docx_path>" --data replacements.json [-o output.docx]
image — Insert image after matching text
PYTHONIOENCODING=utf-8 python "<LOCAL_USER>/.claude/skills/assignment-word/docx_editor.py" image "<docx_path>" --after "图1" --img "figure.png" [-o output.docx]
table — Fill table data from JSON
JSON format: { "cells": { "0,0": "value", "1,2": "value" } } (row,col → value)
PYTHONIOENCODING=utf-8 python "<LOCAL_USER>/.claude/skills/assignment-word/docx_editor.py" table "<docx_path>" --idx 0 --data table_data.json [-o output.docx]
Arguments
| Argument | Description |
|---|---|
-o, --output |
Output file path. Default: in-place edit (original backed up as .bak) |
--old |
Old text to find (for replace) |
--new |
New replacement text (for replace) |
--data |
Path to JSON data file (for fill and table) |
--after |
Text to search for, image inserted after this paragraph (for image) |
--img |
Image file path to insert (for image) |
--idx |
Table index (0-based, for table) |
What ships with it
1 file 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 · 114 lines · 76 tokens per session scan A 66a8773faa0a
assignment-word is a skill published in the GitHub repository phanghonghao/THU-Awesome-Skills (8 stars, last pushed 1mo ago), licensed MIT. It adds 76 tokens to every session and 1,226 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 2026-08-31.
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