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 anylegal-ai/anylegal-oss --skill docx-editinggit clone --depth 1 https://github.com/anylegal-ai/anylegal-ossWrote 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/anylegal-ai/anylegal-oss/docx-editing)<a href="https://agentmods.dev/skills/anylegal-ai/anylegal-oss/docx-editing"><img src="https://agentmods.dev/badge/skills/anylegal-ai/anylegal-oss/docx-editing/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/anylegal-ai/anylegal-oss/docx-editing"><img src="https://agentmods.dev/badge/skills/anylegal-ai/anylegal-oss/docx-editing.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 | $0.00058 | $0.02339 |
| Opus 5 | $0.00029 | $0.01170 |
| Sonnet 5 | $0.00012 | $0.00468 |
| Haiku 4.5 | $0.00006 | $0.00234 |
Grade A, and why
docx-editing 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.
How it starts
The opening of the file, as written. The whole thing — 146 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DOCX Editing Skill
Tool Selection
Author name for tracked changes: Use the user's name from anylegal.md (the "About Me" section). If unknown, use "Anylegal.ai".
edit_document is the default tool for editing existing DOCX files. Pass plain-text old_text / new_text; the server generates <w:ins> / <w:del> markup and preserves run properties.
| Task | Tool | Notes |
|---|---|---|
| Change clause text (tracked) | edit_document |
One change per call. |
| Fill a placeholder | edit_document |
Same tool — tracked change; finalize later if user wants a clean output. |
| Delete a section | edit_document with start_text / end_text |
Range deletion — everything between two anchors, inclusive. |
| Disambiguate duplicate text | edit_document + near_text |
Picks the occurrence closest to the anchor. |
| Create a doc from a template | instantiate_template |
Fill placeholders, save as a new file. NO tracked changes in output — produces a clean final document. The template is untouched. Name output by content (e.g. "Acme Board Resolution 2026-04-25.docx"), not "_v2". |
| Add a margin comment | add_comment |
Handles 4-file OOXML coordination. |
| Accept all tracked changes | accept_all_changes |
LibreOffice-backed finalization. Pass output_path to save as a new file. |
| Reject all tracked changes | reject_all_changes |
LibreOffice-backed restoration. |
| Accept SPECIFIC changes by ID | accept_changes |
Per-revision accept (lawyer-style: "accept the indemnity edits, leave the IP open"). Pair with get_revision_stats(with_snippets=True) to pick IDs. |
| Reject SPECIFIC changes by ID | reject_changes |
Per-revision reject. Same workflow — get stats with snippets, pass the IDs you want to reject. |
| Revert specific edits by ID | revert_edit |
Surgical revert of edits we made (from the edit_document response). Functionally similar to reject_changes; use whichever framing fits the user's ask ("undo my edit" vs. "reject the counterparty's change"). |
| Read tracked-change stats | get_revision_stats |
Counts, authors, IDs. Pass with_snippets=True to also get per-revision text + context — required input for accept_changes / reject_changes. |
| Compare two documents (agent-internal diff) | compare |
Returns structured text diff with addition/deletion counts and similarity %. Use for "what changed between v1 and v2" reasoning. For a Word-openable redlined DOCX deliverable for the user, use produce_redline instead. |
| Produce a redlined comparison DOCX (user-facing) | produce_redline |
Word-openable DOCX with file2's changes shown as tracked changes against file1. LibreOffice-backed. For "show me what changed" deliverables. |
| Clone before a big edit session | clone_document |
Optional — edit_document auto-clones to _v2.docx on first edit. Use only to pick a non-default name. |
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.
- 12d ago First seen · 146 lines · 58 tokens per session scan A a5db4d60e43d
docx-editing is a skill published in the GitHub repository anylegal-ai/anylegal-oss (11 stars, last pushed 4mo ago), licensed MIT. It adds 58 tokens to every session and 2,339 once invoked, about $0.0003 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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