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Get Started Free →Evaluate zero-trust architecture maturity using CISA ZTMM with identity verification, device trust, micro-segmentation, and continuous monitoring.
.claude/skills/williamzujkowski-zero-trust-maturity-assessor/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-01 | ✗→✓ | ▲ Improved | 48% | 0% |
| case-11 | ✗→✓ | ▲ Improved | 41% | 0% |
| case-13 | ✗→✓ | ▲ Improved | 20% | 0% |
| case-19 | ✗→✓ | ▲ Improved | 122% | 0% |
| case-02 | ✓→✓ | = Same ✓ | 13% | 0% |
Trigger conditions:
Not for:
Time normalization:
NOW_ET using NIST/time.gov semantics (America/New_York, ISO-8601): 2025-10-26T01:33:55-04:00NOW_ET for all citation access datesInput validation:
organization_identifier must be non-empty stringztmm_pillars must be subset of: identity, device, network, application, data]target_maturity must be one of: initial, advanced, optimal] or omittedSource freshness:
Identity Pillar (CISA ZTMM 2.0, accessed 2025-10-26T01:33:55-04:00):
Device Pillar:
Network Pillar:
Application Pillar:
Data Pillar:
For each pillar:
Token budgets:
Ambiguity thresholds:
Abort conditions:
Maturity scoring:
Required fields:
json{ "organization_identifier": "string", "ztmm_pillars": ["identity", "device", "network", "application", "data"], "target_maturity": "initial|advanced|optimal or null", "timestamp": "ISO-8601 with timezone", "maturity_assessment": { "identity": { "current_level": "traditional|initial|advanced|optimal", "target_level": "initial|advanced|optimal or null", "gaps": ["list of capability gaps"], "initiatives": ["prioritized initiatives to progress"] }, "device": { "..." }, "network": { "..." }, "application": { "..." }, "data": { "..." } }, "overall_maturity": "traditional|initial|advanced|optimal", "roadmap": { "90_day_milestones": ["list of quick wins"], "180_day_milestones": ["list of medium-term initiatives"], "1_year_milestones": ["list of strategic initiatives"] }, "cisa_ztmm_alignment": { "version": "CISA ZTMM 2.0", "compliant_pillars": ["list"], "non_compliant_pillars": ["list"] } }
Example: Identity Pillar Assessment
yaml# Input organization_identifier: "enterprise-corp" ztmm_pillars: ["identity"] target_maturity: "advanced" # Output (abbreviated) { "organization_identifier": "enterprise-corp", "maturity_assessment": { "identity": { "current_level": "initial", "target_level": "advanced", "gaps": [ "MFA not enforced organization-wide", "No risk-based authentication" ], "initiatives": [ "Deploy enterprise-wide SSO", "Enable MFA on all accounts", "Implement risk-based authentication" ] } }, "overall_maturity": "initial", "roadmap": { "90_day_milestones": ["Enable MFA for privileged accounts"], "180_day_milestones": ["Deploy SSO across applications"] } }
Token budgets:
Safety:
Auditability:
Determinism:
Zero Trust Standards:
Zero Trust Implementation:
Policy and Guidance:
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | fail→pass | 11,487 | 7,890 | -31% | 1 | 1 | 0% | 2,638 | 3,907 | +48% | 0 | 0 | — |
case-02 | pass→pass | 15,384 | 7,603 | -51% | 1 | 1 | 0% | 3,312 | 3,755 | +13% | 0 | 0 | — |
case-03 | pass→pass | 16,404 | 11,370 | -31% | 1 | 1 | 0% | 3,480 | 4,707 | +35% | 0 | 0 | — |
case-04 | pass→pass | 10,372 | 7,382 | -29% | 1 | 1 | 0% | 2,230 | 3,735 | +67% | 0 | 0 | — |
case-05 | fail→fail | 13,192 | 7,327 | -44% | 1 | 1 | 0% | 2,596 | 3,605 | +39% | 0 | 0 | — |
case-06 | fail→fail | 14,787 | 7,194 | -51% | 1 | 1 | 0% | 3,036 | 3,534 | +16% | 0 | 0 | — |
case-07 | pass→pass | 12,438 | 9,464 | -24% | 1 | 1 | 0% | 2,590 | 3,981 | +54% | 0 | 0 | — |
case-08 | pass→pass | 12,295 | 6,971 | -43% | 1 | 1 | 0% | 2,471 | 3,398 | +38% | 0 | 0 | — |
case-09 | pass→pass | 11,053 | 7,281 | -34% | 1 | 1 | 0% | 2,078 | 3,379 | +63% | 0 | 0 | — |
case-10 | pass→pass | 7,032 | 5,175 | -26% | 1 | 1 | 0% | 1,498 | 2,986 | +99% | 0 | 0 | — |
case-11 | fail→pass | 10,163 | 5,079 | -50% | 1 | 1 | 0% | 2,237 | 3,145 | +41% | 0 | 0 | — |
case-12 | pass→pass | 11,081 | 7,191 | -35% | 1 | 1 | 0% | 2,446 | 3,531 | +44% | 0 | 0 | — |
case-13 | fail→pass | 11,083 | 4,701 | -58% | 1 | 1 | 0% | 2,523 | 3,031 | +20% | 0 | 0 | — |
case-14 | pass→pass | 9,561 | 7,162 | -25% | 1 | 1 | 0% | 2,049 | 3,459 | +69% | 0 | 0 | — |
case-15 | fail→fail | 15,097 | 7,166 | -53% | 1 | 1 | 0% | 2,963 | 3,415 | +15% | 0 | 0 | — |
case-16 | pass→pass | 10,889 | 6,181 | -43% | 1 | 1 | 0% | 2,104 | 3,203 | +52% | 0 | 0 | — |
case-17 | pass→pass | 10,751 | 6,992 | -35% | 1 | 1 | 0% | 2,500 | 3,552 | +42% | 0 | 0 | — |
case-18 | pass→pass | 8,878 | 6,473 | -27% | 1 | 1 | 0% | 1,737 | 3,191 | +84% | 0 | 0 | — |
case-19 | fail→pass | 9,478 | 11,537 | +22% | 1 | 1 | 0% | 1,870 | 4,152 | +122% | 0 | 0 | — |
case-20 | pass→pass | 9,747 | 10,229 | +5% | 1 | 1 | 0% | 1,630 | 3,922 | +141% | 0 | 0 | — |
case-21 | fail→fail | 8,596 | 14,921 | +74% | 1 | 1 | 0% | 370 | 3,396 | +818% | 0 | 0 | — |
case-22 | fail→fail | 8,884 | 7,533 | -15% | 1 | 1 | 0% | 856 | 2,667 | +212% | 0 | 0 | — |
DecimalAI ran this skill against gemini-3.6-flash twice over the same eval suite — once with the skill loaded and once without — and compared the two runs case by case. 22 cases were attempted. The headline lift of +18 percentage points is the difference between those two pass rates over the 22 comparable cases.
Without the skill loaded, the model failed this case. With it loaded, the same prompt on the same model passed. This is one improved case from the latest verified run; every case, including any that regressed, is in the table above.
Other measured skills in the registry, with their headline benchmark lift.