copilot-dev: Command for Claude Code

.github/prompts/security-scan.prompt.md

security-scan is a command for Claude Code, GitHub Copilot from timothywarner/copilot-dev. It costs 20 tokens per session (1,920 once invoked), scanned A, original, MIT.

A command that examines selected code or a file for common security weaknesses, including hardcoded secrets, injection risks, and OWASP Top 10 issues. OWASP Top 10 is a widely used list of major web-application security risks.

In plain words
What is it for?
Use it to find vulnerabilities, show their locations and severity, explain the risk, and suggest corrected code.
Why use it?
It helps reveal code that could expose credentials, allow unwanted input to affect a system, or create other attack paths.

Command for Claude CodeGitHub Copilot

Written for Claude Code and GitHub Copilot: argument-hint in frontmatter, but also a Copilot chat mode or prompt. Also seen: model in frontmatter.

This is timothywarner/copilot-dev's own configuration. It tells Claude Code and GitHub Copilot how to work on copilot-dev 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 copilot-dev configures →

Needs its repository: it reads a path above its own folder, which exists only inside the repository. The line is with open(f"/data/{user_filename}") as f: # user could pass "../../etc/passwd".

Reuse

Borrowing it

Nothing to install: this file belongs to timothywarner/copilot-dev. 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/timothywarner/copilot-dev/main/.github/prompts/security-scan.prompt.md
Clone the repo
git clone --depth 1 https://github.com/timothywarner/copilot-dev

Made for: Claude Code, 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 security-scan

README.md
[![agentmods](https://agentmods.dev/badge/commands/timothywarner/copilot-dev/security-scan/github.svg)](https://agentmods.dev/commands/timothywarner/copilot-dev/security-scan)
Your own site
<a href="https://agentmods.dev/commands/timothywarner/copilot-dev/security-scan"><img src="https://agentmods.dev/badge/commands/timothywarner/copilot-dev/security-scan/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 security-scan

Your own site · 80×15
<a href="https://agentmods.dev/commands/timothywarner/copilot-dev/security-scan"><img src="https://agentmods.dev/badge/commands/timothywarner/copilot-dev/security-scan.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 20 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,920 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. 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 $0.00020 $0.01920
Opus 5.5 $0.00008 $0.00768
Sonnet 5.5 $0.00004 $0.00384
Haiku 4.5 $0.00002 $0.00192

Measured 1mo ago against content hash c410e8bf56ab, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

security-scan scanned grade A with 1 finding 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.

Runs shell commandslowCapability

Expected in a hook, worth knowing in a rule or an instructions file.

subprocess.run(f"ls {user_path}", shell=True)
.github/prompts/security-scan.prompt.md · 280 lines

How it starts

The opening of the file, as written. The whole thing — 280 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Perform a thorough security scan of the following code:

Code to scan: ${selection}

If no code is selected, scan the file at: ${file}

If neither is provided, ask for the code or file path to analyze.


Scan methodology

Work through each category below systematically. For every finding, report:

[SEVERITY] Category: Vulnerability name
  File: path/to/file  Line(s): N-M
  Finding: What the vulnerable code does
  Risk: What an attacker could do with this
  Code (current):
    [the vulnerable snippet]
  Remediation:
    [the fixed version with explanation]

Severity levels:

  • CRITICAL — exploitable remotely, immediate data breach or system compromise risk
  • HIGH — serious vulnerability requiring prompt attention
  • MEDIUM — defense-in-depth issue or vulnerability requiring specific conditions
  • LOW — best practice violation, minor hardening opportunity
  • INFO — observation worth noting but not a vulnerability

Category 1: Hardcoded secrets

Scan for any secrets, credentials, or sensitive values embedded directly in source code:

Look for patterns like:

  • API keys, tokens, passwords assigned to variables
  • Connection strings with embedded credentials
  • JWT secrets, encryption keys, salts
  • AWS/Azure/GCP credentials (AKIA..., ARM tokens, service account keys)
  • OAuth client secrets
  • Private keys (-----BEGIN RSA PRIVATE KEY-----)
# CRITICAL — hardcoded secret
API_KEY = "sk-proj-AbCdEf1234567890"         # OpenAI key exposed
DB_PASSWORD = "MyS3cr3tP@ssw0rd!"            # Database credential

# PASS — environment variable
API_KEY = os.environ.get("OPENAI_API_KEY")
if not API_KEY:
    raise ValueError("OPENAI_API_KEY environment variable not set")

Common secret patterns to flag:

  • password = "..." or pwd = "..."
  • secret = "..." or api_key = "..."
  • token = "..." (unless clearly a placeholder)
  • Long alphanumeric strings in assignments (possible keys)
  • Base64-encoded strings in config values

Read the full file on GitHub · 280 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. 1mo ago First seen · 280 lines · 20 tokens per session scan A c410e8bf56ab

Subscribe to this mod's changes

security-scan is a command published in the GitHub repository timothywarner/copilot-dev (46 stars, last pushed 1mo ago), licensed MIT. It adds 20 tokens to every session and 1,920 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 1 finding (runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-20.