linkedin.asisaga.com copilot-instructions.md

Repository-wide guidance for GitHub Copilot, the AI coding assistant, including project structure, specifications, prompts, skills, and other agent files.

In plain words
What is it for?
Use it as the main instruction file when defining the repository’s agent system and linking its supporting files.
Why use it?
It gives the assistant shared context about how the repository organizes and uses AI-assisted development.

Instructions file for GitHub Copilot

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.

agentmods
npx agentmods add instructions/asisaga/linkedin.asisaga.com/copilot-instructions
Clone the repo
git clone --depth 1 https://github.com/ASISaga/linkedin.asisaga.com

Made for: GitHub Copilot.

Per session 797 This file is loaded in full into every session.
When invoked 797 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
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 $0.00797 $0.00797
Opus 5 $0.00398 $0.00398
Sonnet 5 $0.00159 $0.00159
Haiku 4.5 $0.00080 $0.00080

Measured 2d ago against content hash f6ee416b6e9f, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

linkedin.asisaga.com 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 2d 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 · 71 lines

How it starts

The opening of the file, as written. The whole thing — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.

GitHub Copilot Agent Meta-Intelligence System

This repository uses a structured GitHub Copilot Coding agent meta-intelligence system for optimal AI-assisted development.

Directory Structure

Specifications for repository for spec driven development

.github/specs/repository.md # ← Repository-specific spec (update per repo), and may delegate to further specifications in this directory.

Specifications for spec driven development (Adhering to GitHub recommended Templates)

.github/specs/agents.md # Specifications for agent files in .github/agents directory .github/specs/prompts.md # Specifications for prompt files in .github/prompts directory .github/specs/skills.md # Specifications for files in .github/skills directory .github/specs/instructions.md # Specifications for files in .github/instructions directory

GitHub Copilot Coding Agent files

.github/copilot-instructions.md # This file - high-level GitHub Copilot Agent Meta-Intelligence System architecture .github/instructions/ # Path-specific GitHub Copilot Coding Agent custom intructions (auto-load by glob), for GitHub Copilot agent meta-intelligence system, as well as repository. They maintain lean structure, and mandatorily leaverage appropriate files in .github/specs.

.github/docs/ # Implementation guides & references .github/agents/ # Copilot Custom agents (.agent.md) .github/prompts/ # Copilot Agent prompts (.prompt.md) .github/skills/ # Copilot Agent skills (SKILL.md + scripts) applicable to the meta-intelligence system, as well as repository-specific skills .github/workflows/ # GitHub Workflows

  • Instructions/Agents/Prompts/Skills auto-loaded by GitHub Copilot Coding Agent during execution
  • Specs Are lean-and-mean, and define frameworks; Docs provide guides. This distinction is to be mandatorily maintained.
  • Validation via agent quality scripts ensures continuous quality

Read the full file on GitHub · 71 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. 2d ago First seen · 71 lines · 797 tokens per session scan A f6ee416b6e9f

Subscribe to this mod's changes

linkedin.asisaga.com copilot-instructions.md is an instructions file published in the GitHub repository ASISaga/linkedin.asisaga.com (0 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 797 tokens to every session, about $0.0040 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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