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Nist Ssdf

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jgsystemsconsulting
nist-ssdf

Knowledge base from NIST Secure Software Development Framework (SSDF) v1.1 (SP 800-218). Use for secure software development practices, SDLC security integration, software supply chain security, vulnerability disclosure, SBOM, threat modelling, secure coding, build hardening, EO 14028 compliance. Covers the four SSDF practice groups (PO, PS, PW, RV) only; does not cover NIST CSF, SP 800-53 controls, or cloud-specific security frameworks in depth.

Overview

Publisherjgsystemsconsulting
Repositoryjgs-se-knowledge-packs
Skill namenist-ssdf
Stars
121
Forks
1
Bundled files
9
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 9 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by jgsystemsconsulting on GitHub. Read the source before you install it.

Installation

Install the Nist Ssdf AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/jgsystemsconsulting/jgs-se-knowledge-packs/tree/main/packs/nist-ssdf
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/jgsystemsconsulting/jgs-se-knowledge-packs.git /tmp/jgs-se-knowledge-packs
mkdir -p .claude/skills
cp -r /tmp/jgs-se-knowledge-packs/packs/nist-ssdf .claude/skills/nist-ssdf
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Nist Ssdf in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Nist Ssdf on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Nist Ssdf is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

NIST Secure Software Development Framework (SSDF) v1.1 (SP 800-218)

Source: NIST (US Government work, public domain) | Chapters: 5

When to use

Reach for this pack whenever you need to integrate security into a software development life cycle, communicate secure development requirements to suppliers or acquirers, or respond to software vulnerabilities in a structured way. It is particularly useful when aligning development practices with EO 14028 Section 4e requirements, establishing supply-chain security controls, or building a vulnerability disclosure programme. It is not a substitute for NIST CSF (operational security) or SP 800-53 (control selection for information systems).

Prerequisites: none — plain Markdown; no MCP server, API key, or licence tier needed at runtime.

How to Use This Skill

  • Without arguments — load the core frameworks below.
  • With a topic — ask about threat modelling, SBOM, secure coding, code signing, vulnerability disclosure, compiler hardening, supply chain; I read the relevant chapter.
  • With a practice ID — ask for PO.1, PW.4.4, RV.3, etc.; I return the practice definition, tasks, and implementation guidance.
  • With a chapter — ask for ch04.

Supporting files: glossary.md, patterns.md, cheatsheet.md.

Core Frameworks & Mental Models

The Four SSDF Practice Groups

The SSDF organises all secure software development activity into four groups, applied throughout the SDLC:

PO — Prepare the Organization Ensures people, processes, and technology are ready before and during development. Contains five practices:

  • PO.1: Define security requirements for both the development infrastructure and the software being produced; flow requirements to suppliers.
  • PO.2: Define roles, responsibilities, and role-based training for all SDLC participants.
  • PO.3: Automate the toolchain; configure tools to generate audit artefacts (pipelines-as-code, toolchains-as-code).
  • PO.4: Define KPI/KRI security check criteria and integrate them into development gates (e.g., Definition of Done).
  • PO.5: Separate, harden, and continuously monitor all development environments (dev, build, test, distribution); apply zero-trust principles to build infrastructure.

PS — Protect the Software Prevents tampering with and unauthorised access to all code forms and release artefacts:

  • PS.1: Store source, executable, and configuration-as-code under least-privilege access with commit signing and code signing.
  • PS.2: Publish cryptographic hashes and digital signatures with every release so acquirers can verify integrity.
  • PS.3: Archive each release with its integrity verification data and provenance (SBOM); keep provenance separate from or signed independently of release files.

PW — Produce Well-Secured Software Covers the activities that directly produce secure software:

  • PW.1: Threat model at design time; document risk responses; reuse standardised security modules rather than building proprietary implementations.
  • PW.2: Have a qualified, independent person (or automated toolchain process) review the design against security requirements and risk models.
  • PW.4: Acquire vetted third-party components; verify them continuously against newly disclosed CVEs throughout their life cycles.
  • PW.5: Follow language-appropriate secure coding practices: validate inputs, encode outputs, avoid unsafe functions, handle errors, provide logging.
  • PW.6: Enable compiler and build tool security features (hardening flags, memory randomisation); enforce clean-build discipline (warnings-as-errors).
  • PW.7: Apply static code analysis and human code review against secure coding standards as CI gates; record and triage all findings.
  • PW.8: Perform dynamic executable testing (functional, fuzz, penetration) before release; incorporate regression tests for previously reported vulnerabilities.
  • PW.9: Define and implement secure default configuration baselines; document each setting's purpose, options, and operational impact.

RV — Respond to Vulnerabilities Closes the loop by identifying, remediating, and learning from post-release vulnerabilities:

  • RV.1: Continuously gather vulnerability information from all sources (databases, users, researchers); investigate credible reports; maintain a formal disclosure programme and PSIRT.
  • RV.2: Risk-score each vulnerability; implement permanent fixes or temporary mitigations; issue security advisories; deliver remediations via trusted automated channels.
  • RV.3: Determine root causes; proactively sweep for the same class of vulnerability; update SDLC practices to prevent recurrence.

Key Cross-Cutting Principles

  • Shift left: Earlier security activity costs less and produces stronger outcomes.
  • Outcome focus: SSDF specifies what to achieve, not which specific tools to use.
  • Risk-based selection: Not every practice applies to every context; select based on risk, cost, feasibility.
  • Artefact generation: If a security activity does not produce a traceable record, it cannot be demonstrated to regulators, acquirers, or auditors.
  • Shared responsibility: In IaaS/PaaS/SaaS delivery, formally allocate SSDF responsibilities between provider and tenant in contracts.

Chapter Index

#SectionKey content
ch01Introduction & How to Use the SSDFSSDF purpose, audience, SDLC models, shifting left, risk-based adoption, shared responsibility
ch02Prepare the Organization (PO)PO.1–PO.5: security requirements, roles & training, toolchains, security check criteria, secure environments
ch03Protect the Software (PS)PS.1–PS.3: code access control, release integrity, SBOM, provenance archival
ch04Produce Well-Secured Software (PW)PW.1–PW.9: threat modelling, design review, component reuse, secure coding, compiler hardening, code review, dynamic testing, secure defaults
ch05Respond to Vulnerabilities (RV)RV.1–RV.3: ongoing vulnerability identification, PSIRT, risk-based remediation, security advisories, root cause analysis, SDLC feedback loop

Topic Index

  • Artefact generation / audit evidence → ch02 (PO.3.3)
  • Build pipeline security → ch02 (PO.3), ch04 (PW.6)
  • Code review → ch04 (PW.7)
  • Code signing → ch03 (PS.1.1), ch03 (PS.2.1)
  • Compiler hardening / clean build → ch04 (PW.6)
  • CVE monitoring / dependency scanning → ch04 (PW.4.4), ch05 (RV.1.1)
  • Default configuration / secure by default → ch04 (PW.9)
  • EO 14028 mapping → ch01 (Appendix A reference), ch02 (PO.5)
  • Fuzz testing → ch04 (PW.8.2)
  • Penetration testing → ch04 (PW.8.2)
  • PSIRT → ch05 (RV.1.3)
  • Provenance → ch03 (PS.3.2), ch04 (PW.4.1)
  • Risk-based approach → ch01, ch02 (PO.4), ch05 (RV.2.1)
  • Roles and responsibilities → ch02 (PO.2)
  • Root cause analysis → ch05 (RV.3)
  • SBOM → ch03 (PS.3.2)
  • Secure coding → ch04 (PW.5)
  • Secure design / threat modelling → ch04 (PW.1)
  • Security requirements → ch02 (PO.1)
  • Shifting left → ch01
  • Shared responsibility model → ch01
  • Static analysis → ch04 (PW.7)
  • Supply chain / third-party components → ch02 (PO.1.3), ch03 (PS.3), ch04 (PW.4)
  • Toolchain / pipeline-as-code → ch02 (PO.3)
  • Vulnerability disclosure → ch05 (RV.1.3)
  • Vulnerability remediation → ch05 (RV.2)
  • Zero-trust for dev environments → ch02 (PO.5.1)

Supporting Files

  • glossary.md — ~40 terms with chapter references; alphabetical
  • patterns.md — 13 When/How/Trade-offs patterns covering all four practice groups
  • cheatsheet.md — Decision table by situation, practice quick-reference, tells & smells, key thresholds

Scope & Limits

This pack covers NIST SP 800-218 (SSDF v1.1, February 2022) in its entirety — all four practice groups (PO, PS, PW, RV), their practices, tasks, and notional implementation examples. It does not provide in-depth coverage of referenced standards (NIST CSF, SP 800-53, SP 800-161, IEC 62443, OWASP ASVS, ISO 27034, ISO 29147, ISO 30111) — use those packs or their source documents for deeper dives. The document is a US Government work and is in the public domain; no licence restrictions apply to its contents.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Nist Ssdf AI skill do?

Knowledge base from NIST Secure Software Development Framework (SSDF) v1.1 (SP 800-218). Use for secure software development practices, SDLC security integration, software supply chain security, vulnerability disclosure, SBOM, threat modelling, secure coding, build hardening, EO 14028 compliance. Covers the four SSDF practice groups (PO, PS, PW, RV) only; does not cover NIST CSF, SP 800-53 controls, or cloud-specific security frameworks in depth.

Why use Nist Ssdf on TypingMind?

Because you install it once and use it with any model. Nist Ssdf is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Nist Ssdf in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/jgsystemsconsulting/jgs-se-knowledge-packs/tree/main/packs/nist-ssdf. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Nist Ssdf?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Nist Ssdf?

As many as you like. As long as a model supports skills, you can use Nist Ssdf with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Nist Ssdf AI skill free?

It is published on GitHub by jgsystemsconsulting. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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