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.
curl -O https://raw.githubusercontent.com/timothywarner/copilot-dev/main/.github/prompts/security-scan.prompt.mdgit clone --depth 1 https://github.com/timothywarner/copilot-devWrote 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/commands/timothywarner/copilot-dev/security-scan)<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.
<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>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 | $0.00020 | $0.01920 |
| Opus 5.5 | $0.00008 | $0.00768 |
| Sonnet 5.5 | $0.00004 | $0.00384 |
| Haiku 4.5 | $0.00002 | $0.00192 |
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) 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 = "..."orpwd = "..."secret = "..."orapi_key = "..."token = "..."(unless clearly a placeholder)- Long alphanumeric strings in assignments (possible keys)
- Base64-encoded strings in config values
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.
- 1mo ago First seen · 280 lines · 20 tokens per session scan A c410e8bf56ab
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.
Other commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.
speckit.bug.fix
Apply the remediation from a bug assessment and record what was changed.