linkloom: Instructions file for GitHub Copilot

.github/copilot-instructions.md

linkloom copilot-instructions.md is an instructions file for GitHub Copilot from publicusdijital-ai/linkloom. It costs 90 tokens per session, scanned A, original, MIT.

Repository instructions for a dependency-free Python toolkit and agent skill that creates topical internal links between related pages.

In plain words
What is it for?
Use them when changing the toolkit, adding tests, validating the skill, or handling content-management updates with a dry run first.
Why use it?
They keep contributions compatible with Python 3.9 or newer, tested, and safe when connecting to a live content-management system.

Instructions file for GitHub Copilot

Written for GitHub Copilot: a Copilot instructions file.

This is publicusdijital-ai/linkloom's own configuration. It tells GitHub Copilot how to work on linkloom itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything linkloom configures →

Reuse

Borrowing it

Nothing to install: this file belongs to publicusdijital-ai/linkloom. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/publicusdijital-ai/linkloom/main/.github/copilot-instructions.md
Clone the repo
git clone --depth 1 https://github.com/publicusdijital-ai/linkloom

Made for: GitHub Copilot.

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 linkloom copilot-instructions.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/publicusdijital-ai/linkloom/copilot-instructions/github.svg)](https://agentmods.dev/instructions/publicusdijital-ai/linkloom/copilot-instructions)
Your own site
<a href="https://agentmods.dev/instructions/publicusdijital-ai/linkloom/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/publicusdijital-ai/linkloom/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.

agentmods 80×15 button for linkloom copilot-instructions.md

Your own site · 80×15
<a href="https://agentmods.dev/instructions/publicusdijital-ai/linkloom/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/publicusdijital-ai/linkloom/copilot-instructions.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 90 This file is loaded in full into every session.
When invoked 90 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 $0.00090 $0.00090
Opus 5.5 $0.00036 $0.00036
Sonnet 5.5 $0.00018 $0.00018
Haiku 4.5 $0.00009 $0.00009

Measured 2mo ago against content hash 4e26760cbcd6, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

linkloom 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 2mo 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.

.github/copilot-instructions.md · 9 lines

What it actually says

GitHub Copilot Instructions

This repository is a dependency-free Python toolkit and Agent Skill for topical internal linking.

  • Keep scripts compatible with Python 3.9+ and the standard library.
  • Add or update unit tests under tests/ when changing behavior.
  • Run python3 -m unittest discover -s tests and python3 scripts/validate_skill.py ..
  • Keep live CMS updates behind explicit dry-run-first workflows.
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. 2mo ago First seen · 9 lines · 90 tokens per session scan A 4e26760cbcd6

Subscribe to this mod's changes

linkloom copilot-instructions.md is an instructions file published in the GitHub repository publicusdijital-ai/linkloom (5 stars, last pushed 4mo ago), licensed MIT. It adds 90 tokens to every session, about $0.0004 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 2026-08-31.

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