secure-software-engineering

secure-software-engineering is a skill for Claude Code, Codex from magnus919/agent-skills. It costs 81 tokens per session (1,373 once invoked), scanned A, original, MIT.

A guide for building software with security requirements considered from the start. It covers threats, authentication, permissions, secrets, untrusted input, dependencies, and boundaries between customers or services.

In plain words
What is it for?
Use it to threat-model features and APIs, choose secure defaults, design access controls, handle secrets, assess dependencies, and review security-sensitive changes.
Why use it?
It helps find and prevent security weaknesses before they become part of a feature or system design.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to threat-model features and APIs, choose secure defaults, design access controls, handle secrets, assess dependencies, and review security-sensitive changes.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/magnus919/agent-skills/secure-software-engineering
Install

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.

Any agent
npx skills add magnus919/agent-skills --skill secure-software-engineering
Clone the repo
git clone --depth 1 https://github.com/magnus919/agent-skills

Made for: Claude Code, Codex.

Its marketplace also offers this one on its own, as the plugin secure-software-engineering/plugin install secure-software-engineering after adding the marketplace above.

Wrote 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.

agentmods badge for secure-software-engineering

README.md
[![agentmods](https://agentmods.dev/badge/skills/magnus919/agent-skills/secure-software-engineering/github.svg)](https://agentmods.dev/skills/magnus919/agent-skills/secure-software-engineering)
Your own site
<a href="https://agentmods.dev/skills/magnus919/agent-skills/secure-software-engineering"><img src="https://agentmods.dev/badge/skills/magnus919/agent-skills/secure-software-engineering/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.

agentmods 80×15 button for secure-software-engineering

Your own site · 80×15
<a href="https://agentmods.dev/skills/magnus919/agent-skills/secure-software-engineering"><img src="https://agentmods.dev/badge/skills/magnus919/agent-skills/secure-software-engineering.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 81 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,373 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00081 $0.01373
Opus 5 $0.00041 $0.00687
Sonnet 5 $0.00016 $0.00275
Haiku 4.5 $0.00008 $0.00137

Measured 9d ago against content hash 11bfc141a957, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

secure-software-engineering 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 9d 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.

secure-software-engineering/SKILL.md · 73 lines

How it starts

The opening of the file, as written. The whole thing — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Secure Software Engineering

Build security into decisions before defects reach production. This is a prevention-oriented workflow, not a claim that a design or release is secure. Record assumptions, the evidence collected, residual risks, and the owner of any accepted exception.

When To Use

Use this skill to answer "How do we build this securely?" for a new feature, integration, service, API, tenant boundary, AI capability, or release. Start early and revisit affected decisions when architecture, data flows, dependencies, or threats change.

Do not use it for an authorized post-build assessment: use security-audit-methodology. Do not use it as a vulnerability scanner for an existing codebase; use an authorized scanning tool or specialist security assessment. Use spec-driven-development when the task is to formalize the resulting requirements and phase gates, and verification-methodology to make evidence-backed completion claims.

When not to use

Use multi-tenant-saas-architecture for the end-to-end tenant model, control/application-plane placement, commercial lifecycle, and SaaS operating architecture; this skill owns the threat model and enforceable isolation controls. Use capacity-and-cost-engineering for quantitative tenant demand, quota sizing, fairness, load/soak evidence, and unit-cost tradeoffs. Route privacy lifecycle and deletion-verification artifacts to privacy-engineering.

Workflow

  1. Requirements: identify assets, actors, harm, data classifications, regulatory or contractual constraints, and security outcomes. Write testable acceptance criteria before selecting controls.
  2. Threat model: map data flows and trust boundaries; state assumptions, abuse cases, mitigations, and residual risk. STRIDE is optional vocabulary, not an exhaustive method.
  3. Design: choose controls that fit the trust model, including server-side authorization, data isolation, safe failure behavior, and AI capability boundaries. Explain rejected alternatives.
  4. Implement: make each boundary enforceable in code and configuration; protect input, output, credentials, dependencies, logs, and operational paths.
  5. Review and release: verify controls with direct evidence, review changes for bypasses, preserve release evidence, and feed incidents or near misses into requirements and tests.

Read the full file on GitHub · 73 lines

Changes

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.

  1. 9d ago First seen · 73 lines · 81 tokens per session scan A 11bfc141a957

Subscribe to this mod's changes

secure-software-engineering is a skill published in the GitHub repository magnus919/agent-skills (76 stars, last pushed yesterday), licensed MIT. It adds 81 tokens to every session and 1,373 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 2026-09-03.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

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…

microsoft/ai-agents-for-beginners · 200 tokens

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…

vercel/next.js · 95 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens