legal-citation-automator

legal-citation-automator is a skill for Claude Code, Codex from NEU-ZHA/legal-ai-skills. It costs 121 tokens per session (1,186 once invoked), scanned A, original, MIT.

A Word-document tool for inserting or repairing legal footnotes after their citation text has already been checked. DOCX is the file format used by modern Microsoft Word documents.

In plain words
What is it for?
Adding footnotes, repairing batches of footnotes, editing DOCX footnote data, checking numbering, and inserting citation markers into documents.
Why use it?
It handles the document-editing details without deciding whether a legal citation is correct or inventing missing source information.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Adding footnotes, repairing batches of footnotes, editing DOCX footnote data, checking numbering, and inserting citation markers into documents.

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Install with agentmods
npx agentmods add skills/neu-zha/legal-ai-skills/legal-citation-automator
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 NEU-ZHA/legal-ai-skills --skill legal-citation-automator
Clone the repo
git clone --depth 1 https://github.com/NEU-ZHA/legal-ai-skills

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 legal-citation-automator

README.md
[![agentmods](https://agentmods.dev/badge/skills/neu-zha/legal-ai-skills/legal-citation-automator/github.svg)](https://agentmods.dev/skills/neu-zha/legal-ai-skills/legal-citation-automator)
Your own site
<a href="https://agentmods.dev/skills/neu-zha/legal-ai-skills/legal-citation-automator"><img src="https://agentmods.dev/badge/skills/neu-zha/legal-ai-skills/legal-citation-automator/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 legal-citation-automator

Your own site · 80×15
<a href="https://agentmods.dev/skills/neu-zha/legal-ai-skills/legal-citation-automator"><img src="https://agentmods.dev/badge/skills/neu-zha/legal-ai-skills/legal-citation-automator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 121 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,186 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00121 $0.01186
Opus 5 $0.00060 $0.00593
Sonnet 5 $0.00024 $0.00237
Haiku 4.5 $0.00012 $0.00119

Measured 13d ago against content hash f468427fe96d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

legal-citation-automator 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 13d ago.

The scan reads SKILL.md. This mod also ships 7 executable files (scripts/add_footnotes.py, scripts/automate_citations.py, scripts/diagnose_with_comprehensive.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/legal-citation-automator/SKILL.md · 102 lines

How it starts

The opening of the file, as written. The whole thing — 102 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Role

This skill is the DOCX execution layer. It inserts or repairs footnotes only after citation text has been diagnosed and approved by legal-citation-comprehensive.

Do not invent citation content here. Do not rely on this skill to decide legal citation format. Use the comprehensive skill first for source type, missing elements, and final footnote wording.

Weak-agent guardrail: if any required fact is uncertain, stop. Output a repair checklist. Do not edit the DOCX just because the user asked for automation.

Safe Workflow

  1. Run legal-citation-comprehensive.
    • Diagnose each messy footnote or citation candidate.
    • Search the full handbook index for non-trivial or unusual sources.
    • Produce either final citation text or a [待补] checklist.
  2. Prepare a citation insertion plan.
    • Each item must include the exact body text anchor or paragraph/run location.
    • Each item must include final footnote text.
    • If multiple sources support the same anchor, combine them into one footnote_text separated by semicolons. Do not create two insertion items for the same sentence-final anchor.
    • If source facts are missing, stop and return a report instead of editing the DOCX.
  3. Insert footnotes using OOXML, preserving the existing document structure.
  4. Verify:
    • every w:footnoteReference has a matching w:footnote;
    • separator IDs remain -1 and 0;
    • generated replacement notes may start at 4+ as a conservative repair convention;
    • footnote text style matches the target document/template;
    • DOCX zip, content types, and relationships are valid.

Input Contract

The safe input to an insertion script is a JSON array:

[
  {
    "anchor_text": "依《民法典》第153条第1款",
    "placement": "after_anchor",
    "footnote_text": "《中华人民共和国民法典》第153条:“……”",
    "source_status": "verified"
  }
]

Required fields:

  • anchor_text: exact text in the body, or an equivalent precise location object.
  • placement: after_anchor, after_sentence, or a precise custom instruction.
  • footnote_text: final text from legal-citation-comprehensive.
  • source_status: must be verified; if needs_user_input, do not edit.

Read the full file on GitHub · 102 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. 13d ago First seen · 102 lines · 121 tokens per session scan A f468427fe96d

Subscribe to this mod's changes

legal-citation-automator is a skill published in the GitHub repository NEU-ZHA/legal-ai-skills (64 stars, last pushed 23d ago), licensed MIT. It adds 121 tokens to every session and 1,186 once invoked, about $0.0006 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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