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.
git clone --depth 1 https://github.com/zsutxz/ClaudeLearningWrote 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/zsutxz/claudelearning/security-hardening)<a href="https://agentmods.dev/commands/zsutxz/claudelearning/security-hardening"><img src="https://agentmods.dev/badge/commands/zsutxz/claudelearning/security-hardening.svg" alt="Measured on agentmods" 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 | $0.00000 | $0.01933 |
| Opus 5 | $0.00000 | $0.00966 |
| Sonnet 5 | $0.00000 | $0.00387 |
| Haiku 4.5 | $0.00000 | $0.00193 |
Grade A, and why
security-hardening 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 7d 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.
How it starts
The opening of the file, as written. The whole thing — 118 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Implement comprehensive security hardening with defense-in-depth strategy through coordinated multi-agent orchestration:
[Extended thinking: This workflow implements a defense-in-depth security strategy across all application layers. It coordinates specialized security agents to perform comprehensive assessments, implement layered security controls, and establish continuous security monitoring. The approach follows modern DevSecOps principles with shift-left security, automated scanning, and compliance validation. Each phase builds upon previous findings to create a resilient security posture that addresses both current vulnerabilities and future threats.]
Phase 1: Comprehensive Security Assessment
1. Initial Vulnerability Scanning
- Use Task tool with subagent_type="security-auditor"
- Prompt: "Perform comprehensive security assessment on: $ARGUMENTS. Execute SAST analysis with Semgrep/SonarQube, DAST scanning with OWASP ZAP, dependency audit with Snyk/Trivy, secrets detection with GitLeaks/TruffleHog. Generate SBOM for supply chain analysis. Identify OWASP Top 10 vulnerabilities, CWE weaknesses, and CVE exposures."
- Output: Detailed vulnerability report with CVSS scores, exploitability analysis, attack surface mapping, secrets exposure report, SBOM inventory
- Context: Initial baseline for all remediation efforts
2. Threat Modeling and Risk Analysis
- Use Task tool with subagent_type="security-auditor"
- Prompt: "Conduct threat modeling using STRIDE methodology for: $ARGUMENTS. Analyze attack vectors, create attack trees, assess business impact of identified vulnerabilities. Map threats to MITRE ATT&CK framework. Prioritize risks based on likelihood and impact."
- Output: Threat model diagrams, risk matrix with prioritized vulnerabilities, attack scenario documentation, business impact analysis
- Context: Uses vulnerability scan results to inform threat priorities
3. Architecture Security Review
- Use Task tool with subagent_type="backend-api-security::backend-architect"
- Prompt: "Review architecture for security weaknesses in: $ARGUMENTS. Evaluate service boundaries, data flow security, authentication/authorization architecture, encryption implementation, network segmentation. Design zero-trust architecture patterns. Reference threat model and vulnerability findings."
- Output: Security architecture assessment, zero-trust design recommendations, service mesh security requirements, data classification matrix
- Context: Incorporates threat model to address architectural vulnerabilities
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.
- 7d ago First seen · 118 lines · 0 tokens per session scan A 58360ae878d3
security-hardening is a command published in the GitHub repository zsutxz/ClaudeLearning (5 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,933 tokens. 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.
Other commands, from other repositories
checklist
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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.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.