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SKILL verified MIT Self-run

Threat Modeling

skill-alisinadevelo-md-files-threat-modeling · by AlisinaDevelo

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Install

$ agentstack add skill-alisinadevelo-md-files-threat-modeling

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
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2mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
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About

Threat Modeling

Answer four questions: What are we building? What can go wrong? What do we do about it? Did we do a good job? Do it early — design-time fixes are far cheaper than post-incident ones.

1. Model the system

Sketch the data flow: external entities, processes, data stores, and the flows between them. Mark trust boundaries — every point where data crosses from less-trusted to more-trusted (internet → server, user → admin, service → database). Threats cluster at boundaries.

2. Enumerate threats — STRIDE

For each element and flow, ask which apply:

| Threat | Property violated | Example | |--------|-------------------|---------| | Spoofing | Authentication | forging a user's identity, stolen token | | Tampering | Integrity | modifying data in transit or at rest | | Repudiation | Non-repudiation | denying an action; no audit trail | | Information disclosure | Confidentiality | leaking PII, secrets in logs | | Denial of service | Availability | resource exhaustion, unbounded work | | Elevation of privilege | Authorization | user gains admin, IDOR, missing authz |

Walk untrusted input from each entry point to every sink it can reach.

3. Decide on controls

For each credible threat, choose: mitigate (add a control), eliminate (remove the feature/data), transfer (offload to a vetted provider), or accept (document the residual risk and why). Map threats to concrete defenses:

  • Spoofing → strong authN, MFA, signed/short-lived tokens.
  • Tampering → TLS, integrity checks, server-side validation, least privilege.
  • Repudiation → audit logging of security-relevant actions.
  • Disclosure → encryption in transit/at rest, minimize data, scrub logs.
  • DoS → rate limits, timeouts, quotas, bounded input sizes.
  • EoP → authorize every action, default-deny, separation of duties.

4. Validate

Did each high-severity threat get a control? Are controls testable? Add tests/alerts for the important ones. Re-model when the design changes materially.

Prioritize

Risk = likelihood × impact. Fix the exposed, high-impact, easy-to-exploit issues first. Don't drown the design in low-severity theoreticals — focus on what an attacker would actually reach and abuse.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.