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 agentmods add skills/nockasdd/domyh-awf-code/securitynpx skills add nockasdd/domyh-awf-code --skill securitygit clone --depth 1 https://github.com/nockasdd/domyh-awf-codeWrote 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/nockasdd/domyh-awf-code/security)<a href="https://agentmods.dev/skills/nockasdd/domyh-awf-code/security"><img src="https://agentmods.dev/badge/skills/nockasdd/domyh-awf-code/security.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 | $0.00025 | $0.02223 |
| Opus 5 | $0.00013 | $0.01111 |
| Sonnet 5 | $0.00005 | $0.00445 |
| Haiku 4.5 | $0.00003 | $0.00222 |
Grade A, and why
security 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 3d 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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
What ships with it
28 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- ADVANCED.md 5.5 KB
- data/ai-ml-security.yaml 10 KB
- data/api-security.yaml 9.5 KB
- data/auth-patterns.yaml 6.1 KB
- data/binary-exploitation.yaml 11 KB
- data/cloud-security.yaml 11 KB
- data/cwe-top25.yaml 14 KB
- data/language-specific/c-security.yaml 11 KB
- data/language-specific/cpp-security.yaml 11 KB
- data/language-specific/csharp-security.yaml 9.1 KB
- data/language-specific/go-security.yaml 8.9 KB
- data/language-specific/java-security.yaml 12 KB
- data/language-specific/kotlin-security.yaml 7.9 KB
- data/language-specific/php-security.yaml 8.9 KB
- data/language-specific/python-security.yaml 11 KB
- data/language-specific/ruby-security.yaml 7.9 KB
- data/language-specific/rust-security.yaml 9.3 KB
- data/language-specific/solidity-security.yaml 15 KB
- data/language-specific/swift-security.yaml 8.0 KB
- data/language-specific/typescript-security.yaml 12 KB
- data/mobile-security.yaml 16 KB
- data/network-security.yaml 11 KB
- data/owasp-llm-top10.yaml 3.7 KB
- data/owasp-top10.yaml 6.2 KB
- data/reverse-engineering.yaml 20 KB
- data/supply-chain.yaml 8.8 KB
- META.yaml 2.2 KB
- test/eval.yaml 909 B
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.
- 3d ago First seen · 271 lines · 25 tokens per session scan A 0f9df5792ab1
security is a skill published in the GitHub repository nockasdd/domyh-awf-code (2 stars, last pushed 15d ago), with no licence file. It adds 25 tokens to every session and 2,223 once invoked, about $0.0001 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 2026-08-31.
Other skills, from other repositories
cost-efficiency-analyzer
Analyzes cost structure, cost efficiency, and expense management from P&L data. Use when the user asks about costs, expenses, COGS, operating expenses, cost ratios, cost control, spending efficiency, margin compression from cost side, or wants to understand where money is going. Also use for "are we spending too…
executive-financial-briefing
Generates a concise executive-level financial briefing or summary suitable for a CEO, CFO, or board presentation. Use when the user asks for a summary, briefing, executive summary, board update, financial overview, financial health check, or "how is the business doing". Covers the full P&L picture in one page. Also…
multi-quarter-trend-analysis
Analyzes financial trends across multiple quarters by comparing P&L metrics over time. Use when the user wants to see trends, patterns, trajectories, or directional movement across 3 or more quarters. Also use for "how are we trending", "show me the trend", "track performance over time", "quarter over quarter…
quarterly-kpi-calculator
Calculates quarterly financial KPIs from P&L data. P&L figures can be provided directly by the user or fetched from the financial data MCP server. Use when the user wants KPI calculations such as Gross Margin %, EBITDA Margin %, Operating Expense Ratio, or Revenue Growth % QoQ. Also use for quarterly performance…
revenue-growth-analyst
Deep-dives into revenue growth patterns, growth rates, and growth quality. Use when the user asks specifically about revenue growth, top-line performance, sales growth, revenue acceleration or deceleration, growth trajectory, or wants to understand what is driving revenue changes. NOT for cost or margin analysis …
portfolio-risk
Assess the risk profile of a set of stocks or a sector allocation, scoring concentration risk, volatility exposure, and overall risk tier.