SKILLEMALL.ai

CD security-threat-model

Systematically identifies vulnerabilities, threats, and mitigations for systems handling sensitive data using STRIDE methodology, trust boundary mapping, and defense-in-depth principles. Use when designing or reviewing systems with PII/PHI/financial/auth data, building security-sensitive features (auth, payments, file uploads, APIs), preparing for audits or compliance (PCI, HIPAA, SOC 2), investigating incidents, or integrating third-party services. Use when user mentions threat model, STRIDE, trust boundaries, attack surface, or security review.

lyndonkl/claude Agent Skills author: lyndonkl 4 files body ≈ 2 332 tokens Open the sourcegithub.com↗ analyzed 16 h ago

Systematically identifies vulnerabilities, threats, and mitigations for systems handling sensitive data using STRIDE methodology, trust boundary mapping, and…

As a process D 43/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureSecuritytype and topics are labelled automatically from the skill text
JSON
Technical rating
C
87/100
safety, quality, tests
Safety 60%
91
Quality 40%
82
Run on models
none yet
Process rating
D
43/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

    For the model run — optional
    • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
    • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

    Guard findings · 9

    ✓ No critical or high findings

    Medium and low: 9
    • low Risky intent intent-offensive-security resources/methodology.md:32
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use) (detector / deny-list definition)
      │       ├── SQL injection → shell → lateral movement
      detector
    • low Risky intent intent-offensive-security resources/methodology.md:212
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      | Admin panel | Manage system | Privilege escalation, mass data modification | Strong auth (MFA), audit logs, confirmation dialogs, IP whitelisting |
    • low Risky intent intent-offensive-security resources/methodology.md:303
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      **Tactics** (why): Initial Access, Execution, Persistence, Privilege Escalation, Defense Evasion, Credential Access, Discovery, Lateral Movement, Collection, Exfiltration, Impact
    • low Risky intent intent-offensive-security resources/methodology.md:317
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      - **Red teaming**: Use ATT&CK techniques to simulate attacks during testing
    • low Risky intent intent-offensive-security resources/methodology.md:368
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      - **Privilege escalation via misconfigured IAM**: Attacker modifies own permissions
    • low Risky intent intent-offensive-security resources/template.md:220
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      - **Monitoring**: Alert on privilege escalation attempts, admin action audit log
    • low Risky intent intent-offensive-security resources/template.md:324
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      | Privilege escalation attempts | Application audit log | Non-admin accessing admin endpoints | Block user, security review | Engineering | ✓ Done |
    • low Risky intent intent-offensive-security SKILL.md:78
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use) (detector / deny-list definition)
      - **Examples**: SQL injection to admin, IDOR to other user data, path traversal, privilege escalation bugs
      detector
    • low Risky intent intent-offensive-security SKILL.md:113
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      - **Critical threats**: Service impersonation (Spoofing), lateral movement (Elevation of Privilege), message tampering (Tampering), service enumeration (Information Disclosure)

    Files scanned: 4. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 43/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Failures and branches. Linear process with no failure handling
    • 0Progress reporting. Says nothing while it works
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 2 mutating operations with no state check
    • 60Tools and files. Uses tools (web) that frontmatter does not declare
    • 100Steps. 66 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2332 tokens
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

    Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

    Quality signals

    • +5Description has no quoted example phrases that should trigger the skill
    • +4Description does not say when NOT to use the skill (false activations)
    • +3Output format is not stated: the model decides each time
    • -215 emoji in the instructions: noise for the model
    • +1No license
    • +2Single-language instructions
    • +3Description length 552: enough signal without eating the budget
    • +4Structure: 8 headings
    • +3Step-by-step instructions: 66 items
    • +4Has examples (1 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 82.