Borrowing it
Nothing to install: this file belongs to fuwenhao12/academic-ref-inserter. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/fuwenhao12/academic-ref-inserter/main/.github/copilot-instructions.mdgit clone --depth 1 https://github.com/fuwenhao12/academic-ref-inserterWrote 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/instructions/fuwenhao12/academic-ref-inserter/copilot-instructions)<a href="https://agentmods.dev/instructions/fuwenhao12/academic-ref-inserter/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/fuwenhao12/academic-ref-inserter/copilot-instructions/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/instructions/fuwenhao12/academic-ref-inserter/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/fuwenhao12/academic-ref-inserter/copilot-instructions.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 | $0.00228 | $0.00228 |
| Opus 5.5 | $0.00091 | $0.00091 |
| Sonnet 5.5 | $0.00046 | $0.00046 |
| Haiku 4.5 | $0.00023 | $0.00023 |
Grade A, and why
academic-ref-inserter copilot-instructions.md 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 1mo 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.
What it actually says
Academic Ref Inserter — GitHub Copilot Instructions
This project helps format, reorder, and cross-reference academic citations in Word (.docx) documents.
Core Commands
python scripts/insert_refs.py analyze --input <file.docx> --json— Analyze citation structurepython scripts/insert_refs.py fix --input <file.docx> --format gbt7714— Full pipelinepython scripts/insert_refs.py fix --input <file.docx> --format ieee— IEEE formatpython scripts/insert_refs.py reformat --input <file.docx> --format apa7— APA formatpython scripts/insert_refs.py validate --input <file.docx> --format gbt7714 --json— Validate
Formats
gbt7714: Chinese standard, sequential [1] numberingieee: Engineering/CS, sequential [1] numberingapa7: Social sciences, author-year, alphabetical order
Always use --json for structured output that Copilot can parse.
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.
- 1mo ago First seen · 20 lines · 228 tokens per session scan A a069edd515ee
academic-ref-inserter copilot-instructions.md is an instructions file published in the GitHub repository fuwenhao12/academic-ref-inserter (60 stars, last pushed 4mo ago), licensed MIT. It adds 228 tokens to every session, about $0.0009 per session on Opus 5.5. 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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