vulnerability-validation-skill copilot-instructions.md

Repository instructions for GitHub Copilot, an AI coding assistant, in a vulnerability-validation project. They direct Copilot to use the project’s canonical security workflow and distinguish source instructions from generated copies.

In plain words
What is it for?
Use them when reviewing or changing the repository with Copilot, discovering and validating security flaws, or deciding which instruction files are authoritative.
Why use it?
They help Copilot follow the same vulnerability-discovery and validation process as the project’s other supported coding agents.

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/omkhar/vulnerability-validation-skill/copilot-instructions
Clone the repo
git clone --depth 1 https://github.com/omkhar/vulnerability-validation-skill

Made for: GitHub Copilot.

Per session 547 This file is loaded in full into every session.
When invoked 547 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 $0.00547 $0.00547
Opus 5 $0.00273 $0.00273
Sonnet 5 $0.00109 $0.00109
Haiku 4.5 $0.00055 $0.00055

Measured 2d ago against content hash 9a30fb1e4ca9, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

vulnerability-validation-skill 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 · 20 lines

What it actually says

Copilot Repository Instructions

This is the repo-wide GitHub Copilot instruction surface for this repository. GitHub Copilot is a first-party supported agent surface here. This file is generated from canonical repository guidance, not an edit source.

Before changing this repository:

  • Treat skill-core/vulnerability-validation.md, skill-core/references/, skill.json, and AGENTS.md as canonical sources.
  • Treat .agents/skills/, .agent/skills/, .claude/skills/, .gemini/skills/, CLAUDE.md, GEMINI.md, and .github/copilot-instructions.md as generated surfaces.
  • Treat Copilot as first-party alongside Codex, Claude Code, Gemini CLI, and Google Antigravity; use this repo-wide file plus AGENTS.md, CLAUDE.md, or GEMINI.md when the Copilot surface supports agent instructions.
  • For discovering new vulnerabilities (0-days) in a target repository and validating them — by default native discovery when no findings list exists, with a supplied scanner/researcher corpus as an optional seed, never a substitute for the mandatory native sweep — use the same canonical workflow as the supported agent surfaces: load skill-core/vulnerability-validation.md and the relevant files under skill-core/references/ before planning, triaging, patching, or writing maintainer-facing evidence.
  • Load skill-core/vulnerability-validation.md and relevant files under skill-core/references/ before changing validation workflow semantics.
  • Include a cross-agent adversarial skill-optimization review for Codex, Claude Code, Gemini CLI, GitHub Copilot, and Google Antigravity in reviews/ for substantive skill or surface changes; cover trigger precision, prompt/context budget, duplicate/drifted surfaces, progressive disclosure, supported OS/shell/path/profile assumptions, and deletion/edit safety.
  • After editing the canonical skill, shared metadata, references, or AGENTS.md, run make sync; before opening a PR, run make verify, or use the README's platform-equivalent Python commands on hosts without make.
  • Keep portable instructions concise and move detailed schemas to skill-core/references/.
  • Do not add target-repo-specific findings, local absolute paths, private advisory details, secrets, or machine-specific setup.
  • Record local role-lens consensus in reviews/ for workflow semantics, artifact contracts, generated surfaces, or maintainer-facing text changes.
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 · 20 lines · 547 tokens per session scan A 9a30fb1e4ca9

Subscribe to this mod's changes

vulnerability-validation-skill copilot-instructions.md is an instructions file published in the GitHub repository omkhar/vulnerability-validation-skill (5 stars, last pushed 9d ago), licensed Apache-2.0. It adds 547 tokens to every session, about $0.0027 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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