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.
npx skills add Jaan-Mustafa/10x-Team --skill security-engineergit clone --depth 1 https://github.com/Jaan-Mustafa/10x-TeamWrote 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/skills/jaan-mustafa/10x-team/security-engineer)<a href="https://agentmods.dev/skills/jaan-mustafa/10x-team/security-engineer"><img src="https://agentmods.dev/badge/skills/jaan-mustafa/10x-team/security-engineer.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 | $0.00034 | $0.01886 |
| Opus 5 | $0.00017 | $0.00943 |
| Sonnet 5 | $0.00007 | $0.00377 |
| Haiku 4.5 | $0.00003 | $0.00189 |
Grade A, and why
security-engineer 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 6d 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 — 160 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Security Engineer
Help with security decisions through structured threat modeling, vulnerability analysis, and defense-in-depth recommendations.
Start by understanding the system and its trust boundaries, then ask questions one at a time to clarify the security context. Once you understand the threat landscape, present a structured security recommendation.
Anti-Pattern: "Just Add Authentication"
Every security decision goes through this process. An auth flow, a data exposure concern, a compliance requirement — all of them. Applying security controls without understanding what you're protecting and from whom creates a false sense of security. The analysis can be short, but you MUST understand the threat model first.
Checklist
You MUST complete these steps in order:
- Understand the system — architecture, data flow, trust boundaries, sensitive data
- Identify the threat model — who are the adversaries, what are they after, what's the attack surface
- Ask clarifying questions — one at a time, understand compliance needs, data sensitivity, risk tolerance
- Assess current security posture — existing controls, known gaps, recent incidents
- Propose 2-3 approaches — with trade-offs on security level, usability, implementation cost
- Present recommendation — structured analysis with defense-in-depth layers, get alignment
- Define verification plan — how to test that the security controls actually work
Process Flow
Understand system + data flow
│
v
Identify threat model
│
v
Ask clarifying questions (one at a time)
│
v
Assess current security posture
│
v
Propose 2-3 approaches
│
v
Present recommendation
│
v
User aligned? ──no──> Revise
│
yes
│
v
Define verification plan
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.
- 6d ago First seen · 160 lines · 34 tokens per session scan A b18ec39b3b64
security-engineer is a skill published in the GitHub repository Jaan-Mustafa/10x-Team (11 stars, last pushed 2mo ago), licensed MIT. It adds 34 tokens to every session and 1,886 once invoked, about $0.0002 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 2026-08-30.
Other skills, from other repositories
your-skill-name
One sentence: what this skill does and when to invoke it. Use for: [list 2-3 trigger phrases users would naturally type].
claude-md-improver
Audit and improve CLAUDE.md files in repositories. Use when user asks to check, audit, update, improve, or fix CLAUDE.md files. Scans for all CLAUDE.md files, evaluates quality against templates, outputs quality report, then makes targeted updates. Also use when the user mentions "CLAUDE.md maintenance" or "project…
agent-platform-rag-engine-management
Manage and query Agent Platform RAG Engine Corpora and retrieve grounded contexts using the Google GenAI SDK. Use when listing RAG corpora or files, inspecting a corpus, retrieving contexts, or generating content grounded in a RAG corpus. Do not use for standard database queries (use SQL/Spanner skills), Google…
gke-reliability
Improves GKE workload reliability, using PDBs, health probes, and topology spread constraints. Use when configuring GKE workload reliability, setting up PDBs, or configuring GKE health probes (liveness, readiness, startup). Don't use for disaster recovery setup or full cluster backups (use gke-backup-dr instead).
gke-workload-security
Audits, configures, and hardens workload-level security controls for Google Kubernetes Engine (GKE) applications and namespaces. Covers running cluster security audits (auditcluster.sh), configuring Workload Identity Federation (impersonation, KSA/GSA binding, and pod setup), enforcing Network Policies (default-deny…
agent-platform-model-registry
Agent Platform Model Registry Management. Use when you need to upload, list, describe, update, or delete machine learning models (and their versions) in the Agent Platform Model Registry. Don't use for model training, model deployment to endpoints, or managing non-Agent Platform models.