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Secure software engineering

Skill magnus919/agent-skills/secure-software-engineering

Curated collection of AI agent skills for Hermes and other agent frameworks

Install
npx -y skills add magnus919/agent-skills --skill secure-software-engineering

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  • 25 days oldThe repository was created 25 days ago. New is not bad, but a brand new repository carrying a familiar-sounding name is the shape a typosquat arrives in, and there has been no time for anyone else to find a problem with it.
  • 21 stars21 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

Use when designing or implementing software securely: define security requirements, threat-model a feature, choose secure defaults, design authentication and authorization, handle untrusted data and secrets, evaluate dependencies, or review security-sensitive changes. Use for prevention during requirements, design, implementation, and review; not for post-build security assessments or scanning an existing codebase.

The file declares its own license as MIT. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.

SKILL.md

5.8 KB, as published. Nobody here has run it

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.

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.

Loop to the affected phase when evidence contradicts an assumption or a design changes. Stop when each material decision has an accountable owner, direct evidence or an explicit gap, and a disposition for residual risk.

Reference Files

Load whenFile
You need a version-pinned source and its decision usereferences/source-index.md
Defining assets, boundaries, abuse cases, or security criteriareferences/security-requirements-threat-modeling.md
Choosing identity, sessions, permissions, or service accessreferences/authentication-authorization.md
Handling requests, files, URLs, serialized data, output, or AI contentreferences/input-validation-data-handling.md
Adding a key, token, credential, or signing materialreferences/secrets-lifecycle.md
Adding, updating, building, or publishing dependenciesreferences/dependency-supply-chain.md
Designing logs, audit events, monitoring, or forensic evidencereferences/secure-logging-audit.md
Sharing infrastructure or data across tenantsreferences/multi-tenant-isolation.md
Reviewing a change or defining a security review gatereferences/secure-code-review.md
Preparing artifacts, exceptions, rollback, or response for releasereferences/release-evidence.md
Learning from an incident, near miss, or escaped defectreferences/incident-learning.md
Designing an LLM, RAG pipeline, model integration, or agent toolreferences/ai-llm-security.md

Templates

Use whenFile
Starting a feature or system threat modeltemplates/lightweight-threat-model.md
Writing security acceptance criteria for a specification or changetemplates/security-acceptance-criteria.md
Reviewing a security-relevant code changetemplates/secure-code-review-checklist.md

Guardrails

  • Treat prompts, retrieved content, tool output, webhooks, files, and client-provided identity or tenant fields as untrusted until a boundary validates them.
  • A framework, scan, SBOM, signature, provenance attestation, or checklist is evidence about a limited claim, not proof that software is safe.
  • Do not make a control universal: authentication protocols depend on the trust model; row-level security is one isolation mechanism; secret rotation follows events and risk; controls need verification in their actual deployment.
  • Keep completed threat models and security acceptance criteria confidential when they expose system boundaries or weaknesses. Use placeholders, never real credentials or private deployment details.

Portability

Use the host environment's normal mechanisms to create artifacts, run tests, and obtain approvals. Do not assume a vendor, cloud, identity provider, database, CI system, or deployment topology.

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.