Borrowing it
Nothing to install: this file belongs to Lzy599775/agent-auto-sci-skills. 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/Lzy599775/agent-auto-sci-skills/main/skills/urban-exposure-review-radar-workflow/subskills/academic-research-suite/ars/.github/copilot-instructions.mdgit clone --depth 1 https://github.com/Lzy599775/agent-auto-sci-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/instructions/lzy599775/agent-auto-sci-skills/copilot-instructions)<a href="https://agentmods.dev/instructions/lzy599775/agent-auto-sci-skills/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/lzy599775/agent-auto-sci-skills/copilot-instructions.svg" alt="Measured on agentmods" 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 | $0.00671 | $0.00671 |
| Opus 5 | $0.00336 | $0.00336 |
| Sonnet 5 | $0.00134 | $0.00134 |
| Haiku 4.5 | $0.00067 | $0.00067 |
Grade A, and why
agent-auto-sci-skills 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 7d 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 — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Academic Research Skills for GitHub Copilot
AI-augmented research pipeline for academic writing, literature review, and peer review.
Core principle: AI is your copilot, not the pilot. Humans focus on substantive decisions; AI handles grunt work (references, formatting, verification).
Quick Start
Try /ars-plan — describe your paper, get Socratic structure guidance.
Key commands: /ars-lit-review, /ars-outline, /ars-full, /ars-reviewer, /ars-citation-check
Setup & Installation
→ SETUP.md for plugin, local symlink, API keys, and optional tools
Architecture & Components
- Deep Research — 13-agent team, PRISMA support, intent detection
- Paper Writing — 12-agent pipeline, style calibration, citation verification
- Peer Review — 7-agent multi-perspective review, quality rubrics
- Pipeline — 10-stage orchestration, claim verification, material passports
→ ARCHITECTURE.md for full flow diagrams and dependency graph
Integrity & Safety
Addresses AI research failure modes (Kong et al. 2026, arXiv:2605.18661):
- 7-mode blocking checklist for common AI failures
- Claim-level audits with locator anchors
- Trust-chain frontmatter for provenance
- FNR/FPR calibration on custom measures
⚠️ Permission modes: for unattended pipeline runs, Auto mode is the recommended setting (a server-side classifier still gates dangerous escalations). --dangerously-skip-permissions removes all safety checks and is only appropriate for isolated, no-internet sandboxes. See PERFORMANCE.md for full context before changing modes.
Contributing
→ CONTRIBUTING.md for PR workflow, acceptance criteria, development guidelines
Docs
| Topic | Link |
|---|---|
| Setup & Installation | SETUP.md |
| Architecture | ARCHITECTURE.md |
| Performance & Costs | PERFORMANCE.md |
| Design Philosophy | POSITIONING.md |
| Contributing | CONTRIBUTING.md |
| Citation | CITATION.cff |
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.
- 7d ago First seen · 65 lines · 671 tokens per session scan A 71178dbbcb46
agent-auto-sci-skills copilot-instructions.md is an instructions file published in the GitHub repository Lzy599775/agent-auto-sci-skills (2 stars, last pushed yesterday), licensed MIT. It adds 671 tokens to every session, about $0.0034 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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