Borrowing it
Nothing to install: this file belongs to terrene-foundation/metis. 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/terrene-foundation/metis/main/.claude/skills/18-security-patterns/SKILL.mdgit clone --depth 1 https://github.com/terrene-foundation/metisWrote 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/terrene-foundation/metis/18-security-patterns)<a href="https://agentmods.dev/skills/terrene-foundation/metis/18-security-patterns"><img src="https://agentmods.dev/badge/skills/terrene-foundation/metis/18-security-patterns.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 | $0.00078 | $0.01029 |
| Opus 5 | $0.00039 | $0.00515 |
| Sonnet 5 | $0.00016 | $0.00206 |
| Haiku 4.5 | $0.00008 | $0.00103 |
Grade A, and why
security-patterns 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 — 145 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Security Patterns - Kailash SDK
Mandatory security patterns for all Kailash SDK development. These patterns prevent common vulnerabilities and ensure secure application development.
Overview
Security patterns cover:
- Secret management (no hardcoded credentials)
- Input validation (prevent injection attacks)
- Authentication and authorization
- OWASP Top 10 prevention
- Secure API design
- Environment variable handling
Critical Rules
1. NEVER Hardcode Secrets
# ❌ WRONG - Hardcoded credentials
api_key = "sk-1234567890abcdef"
db_password = "mypassword123"
# ✅ CORRECT - Environment variables
import os
api_key = os.environ["API_KEY"]
db_password = os.environ["DATABASE_PASSWORD"]
2. Validate All User Inputs
# ❌ WRONG - No validation
def process_user_input(user_data):
return db.execute(f"SELECT * FROM users WHERE id = {user_data}")
# ✅ CORRECT - Parameterized queries (via DataFlow)
workflow.add_node("User_Read", "read_user", {
"id": validated_user_id # DataFlow handles parameterization
})
3. Use HTTPS for API Calls
# ❌ WRONG - HTTP in production
workflow.add_node("HTTPRequestNode", "api", {
"url": "http://api.example.com/data" # Insecure!
})
# ✅ CORRECT - HTTPS always
workflow.add_node("HTTPRequestNode", "api", {
"url": "https://api.example.com/data"
})
Reference Documentation
Core Security
- security-secrets - Secret management patterns
- security-input-validation - Input validation
- security-injection-prevention - SQL/code injection prevention
Authentication & Authorization
- security-auth-patterns - Auth best practices
- security-api-keys - API key management
- security-tokens - Token handling
OWASP Compliance
- security-owasp-top10 - OWASP Top 10 prevention
- security-audit-checklist - Security audit checklist
What ships with it
4 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.
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 · 145 lines · 78 tokens per session scan A e51674a24f37
security-patterns is a skill published in the GitHub repository terrene-foundation/metis (2 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 78 tokens to every session and 1,029 once invoked, about $0.0004 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
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
next-partial-prefetching-adoption
Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…
chronicle
Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…
babysit-pr
Babysit a GitHub pull request after creation by continuously polling review comments, CI checks/workflow runs, and mergeability state until the PR is merged/closed or user help is required. Diagnose failures, retry likely flaky failures up to 3 times, auto-fix/push branch-related issues when appropriate, and keep…