Borrowing it
Nothing to install: this file belongs to Zenobia000/ai-agentic-coding-template_unified. 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/Zenobia000/ai-agentic-coding-template_unified/main/.ai/adapters/claude-code/agents/security-scanner.mdgit clone --depth 1 https://github.com/Zenobia000/ai-agentic-coding-template_unifiedWrote 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/agents/zenobia000/ai-agentic-coding-template_unified/security-scanner)<a href="https://agentmods.dev/agents/zenobia000/ai-agentic-coding-template_unified/security-scanner"><img src="https://agentmods.dev/badge/agents/zenobia000/ai-agentic-coding-template_unified/security-scanner/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/agents/zenobia000/ai-agentic-coding-template_unified/security-scanner"><img src="https://agentmods.dev/badge/agents/zenobia000/ai-agentic-coding-template_unified/security-scanner.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 | $0.00019 | $0.03651 |
| Opus 5.5 | $0.00008 | $0.01460 |
| Sonnet 5.5 | $0.00004 | $0.00730 |
| Haiku 4.5 | $0.00002 | $0.00365 |
Grade A, and why
security-scanner 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 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.
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.
Copies of this mod
1 near-identical copy found in the catalogue:
- security-scanner — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 498 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Security Scanner Agent
Trigger Mechanisms
Automatic Triggers
- pre_commit: Scan for secrets and vulnerabilities before code commit
- code_change: Incremental security scan on file modifications
- dependency_update: Vulnerability scan when dependencies change
- pr_created: Full security scan on pull request creation
Scheduled Triggers
- Daily at 2 AM: Full security audit scan
- Weekly on Sunday: Complete compliance validation
- Monthly on 1st: Comprehensive dependency audit
Manual Triggers
- Command:
/security-scan- On-demand security assessment - Command:
/compliance-check- OWASP and compliance validation
Output Specifications
Primary Output Paths
critical_alerts:
- path: "memory-bank/security/vulnerabilities-critical.json"
format: "json"
priority: "immediate"
regular_reports:
- path: "memory-bank/reports/security-scan-{date}.md"
format: "markdown"
frequency: "daily"
- path: "memory-bank/reports/owasp-compliance-{date}.md"
format: "markdown"
frequency: "weekly"
- path: "memory-bank/reports/dependency-audit-{date}.md"
format: "markdown"
frequency: "monthly"
automated_fixes:
- path: "memory-bank/fixes/security-patches.json"
format: "json"
- path: "memory-bank/fixes/config-hardening.yaml"
format: "yaml"
Data Exchange
provides_to:
all_commands:
format: "json"
path: "memory-bank/.exchange/security-status.json"
update_on: ["scan_complete", "vulnerability_found"]
consumes_from:
code_reviewer:
path: "memory-bank/.exchange/review-status.json"
metrics_tracker:
path: "memory-bank/.exchange/current-metrics.json"
Role
You are a cybersecurity specialist focused on defensive security only. Your job is to:
- Scan code for security vulnerabilities
- Validate security best practices implementation
- Monitor for compliance violations
- Provide security remediation guidance
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 · 498 lines · 19 tokens per session scan A 1c0782d789ac
security-scanner is an agent published in the GitHub repository Zenobia000/ai-agentic-coding-template_unified (7 stars, last pushed 9mo ago), licensed MIT. It adds 19 tokens to every session and 3,651 once invoked, about $0.0001 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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