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[Extension]: Add ThreatSpec (v0.1.0)

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Assessment

Difficulty
2/5
Estimated time
1-3 hours
Newbie friendliness
62/100
Issue type
Feature
Clarity
Mostly clear
Activity status
Active
Tech stack
python
Domain
cli, tooling

Research direction

Start by locating the catalog file and comparing its expected entry format with the proposed catalog entry and the extension.yml manifest. Verify the download URL, README.md, LICENSE, and command files described in the submission; done means the metadata is accepted and the extension installs successfully via the documented URL.

Written by the indexing model from the issue text.

Description

enhancement needs-triage triage-can-wait
Extension ID

threatspec

Extension Name

ThreatSpec

Version

0.1.0

Description

ThreatSpec is a spec-kit extension that makes threat modeling and security traceability a first-class part of Spec-Driven Development.

Author

hupe1980

Repository URL

https://github.com/hupe1980/spec-kit-threatspec

Download URL

https://github.com/hupe1980/spec-kit-threatspec/archive/refs/tags/v0.1.0.zip

License

MIT

Homepage (optional)

https://github.com/hupe1980/spec-kit-threatspec

Documentation URL (optional)

https://github.com/hupe1980/spec-kit-threatspec/blob/main/README.md

Changelog URL (optional)

https://github.com/hupe1980/spec-kit-threatspec/blob/main/CHANGELOG.md

Required Spec Kit Version

=1.0.0

Required Tools (optional)
- python (>=3.8) - required, with PyYAML; the bash and PowerShell wrappers fall back to `uv run --with pyyaml --with jsonschema` when no local PyYAML is present
- uv - optional, only needed as that fallback
- jsonschema - optional, enables full JSON Schema validation; a built-in structural validator runs without it
Number of Commands

3

Number of Hooks (optional)

7

Tags

security, threat-modeling, llm, agentic, traceability

Key Features
  • Generates an Open Threat Model (OTM)-compatible threat-model.yaml from spec.md and plan.md, validated by a bundled JSON Schema
  • Publishes testable SR-### security requirements into spec.md between managed markers, so /speckit.plan and /speckit.tasks consume them natively
  • Twelve deterministic checks (schema, dangling references, threat→mitigation→requirement→task→verification coverage, risk-decision expiry, spec drift) with md, json, and SARIF output for GitHub code scanning
  • Evidence-based security convergence: the agent judges each requirement only from collected evidence, verified requires an inspectable pointer, verification history is append-only, and gaps are appended to tasks.md as traceable tasks
  • Threat profiles for STRIDE, OWASP Top 10 for LLM Applications 2026, and OWASP Top 10 for Agentic Applications 2026, with edition-pinned framework mappings and applicability surfaces
  • Runs without an agent: the engine is a plain Python script usable in CI, plus a bundled composite GitHub Action
  • Seven optional lifecycle hooks (after_specify through before_converge); installing the extension changes nothing until you opt in
Testing Checklist
  • Extension installs successfully via download URL
  • All commands execute without errors
  • Documentation is complete and accurate
  • No security vulnerabilities identified
  • Tested on at least one real project
Submission Requirements
  • Valid extension.yml manifest included
  • README.md with installation and usage instructions
  • LICENSE file included
  • GitHub release created with version tag
  • All command files exist and are properly formatted
  • Extension ID follows naming conventions (lowercase-with-hyphens)
Testing Details

Tested on:

  • macOS 15 with Spec Kit CLI v1.0.7 (dev install, archive URL install, and self-hosted catalog install)
  • GitHub Actions CI: Ubuntu and Windows, Python 3.11 and 3.13

Test project: an internal link shortener built end to end with the full nine-step workflow, from /speckit.specify through to security convergence.

Test scenarios:

  1. Installed the extension three ways: --dev, --from <archive URL>, and by name from a self-hosted catalog; confirmed .extensionignore keeps tests and docs out of the install
  2. Ran all three commands as agent skills against real specs; verified each writes only its documented files
  3. Ran the full lifecycle on the test project: 20 threats modelled, 16 security requirements, 46 tasks, 106 application tests, final status CONVERGED
  4. Verified append-only guarantees: tasks.md unchanged when converged, no duplicate tasks on repeated convergence runs, verification history never rewritten
  5. Verified the deterministic engine standalone: valid SARIF 2.1.0 output, exit codes 0/1/2 by severity, CRLF checkouts produce no false drift
  6. Extension test suite: 46 passing, including manifest validation against the Spec Kit CLI's own ExtensionManifest
Example Usage
# Install
specify extension add threatspec --from https://github.com/hupe1980/spec-kit-threatspec/archive/refs/tags/v0.1.0.zip

# Model threats from the spec, then check the chain before implementing
/speckit.threatspec.model
/speckit.threatspec.check

# After implementation, verify every security requirement against evidence
/speckit.threatspec.converge

# The same checks run without an agent, for CI
.specify/extensions/threatspec/scripts/bash/threatspec.sh check --format sarif --output threatspec.sarif
Proposed Catalog Entry
{
  "threatspec": {
    "name": "ThreatSpec — Threat Modeling & Security Traceability",
    "id": "threatspec",
    "description": "STRIDE and AI/ML threat modeling with threat-to-test traceability and security convergence",
    "author": "hupe1980",
    "version": "0.1.0",
    "download_url": "https://github.com/hupe1980/spec-kit-threatspec/archive/refs/tags/v0.1.0.zip",
    "repository": "https://github.com/hupe1980/spec-kit-threatspec",
    "homepage": "https://github.com/hupe1980/spec-kit-threatspec",
    "documentation": "https://github.com/hupe1980/spec-kit-threatspec/blob/main/README.md",
    "changelog": "https://github.com/hupe1980/spec-kit-threatspec/blob/main/CHANGELOG.md",
    "license": "MIT",
    "category": "process",
    "effect": "read-write",
    "requires": {
      "speckit_version": ">=1.0.0"
    },
    "provides": {
      "commands": 3,
      "hooks": 7
    },
    "tags": ["security", "threat-modeling", "llm", "agentic", "traceability"],
    "verified": false,
    "downloads": 0,
    "stars": 0,
    "created_at": "2026-09-21T00:00:00Z",
    "updated_at": "2026-09-21T00:00:00Z"
  }
}
Additional Context

ThreatSpec is not another one-shot threat-report command. It maintains a machine-readable threat model with typed cross-references across the whole lifecycle, so a threat can be traced to a mitigation, a requirement, a task, a test, and a recorded verdict. Structural work (schema, references, coverage, drift, severity) runs deterministically in scripts; the agent is used only for judgment.

The repository also ships two optional companions that install through their own primitives: a threatspec-sdd preset that appends SR-### awareness to the core tasks, analyze, converge, and checklist commands, and a secure-sdd workflow with review gates.

examples/rag-assistant/ contains a complete first-pass output generated by the model command from a bare spec, including the rendered threat model, check report, and coverage table, kept valid by the test suite.

The extension's own threat model is published at docs/threat-model.md, including the residual risks (indirect prompt injection via artifact content, and the opt-in verification.test_command).

Dominant language
Python
Stars
138k
Forks
12.4k
Avg merge
3d 6h
Merged PRs (30d)
145

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