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contextualize

Facilitates contextual verification of AI outputs, ensuring results align with specific application contexts for improved relevance.

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Security score

The contextualize skill was audited on Jun 1, 2026 and we found 6 security issues across 1 threat category, including 6 high-severity. Review the findings below before installing.

Categories Tested

Security Issues

high line 16

Eval function call - arbitrary code execution

SourceSKILL.md
16Epharmoge(R, X) → Eval(R, X) → Mᵢ? → AssessFit(R, X, Mᵢ) → F → Register(Mᵢ) → SelectNext(pending, F, Σ) → Mₛ → Q(F-scoped Mₛ) → A → R' → Eval(R', X) → Mₑ? → Register(Mₑ) → AssessFit(R', X, pending) →
high line 63

Eval function call - arbitrary code execution

SourceSKILL.md
63Mᵢ = Identified mismatches from Eval(R, X) -- origin = Initial
high line 64

Eval function call - arbitrary code execution

SourceSKILL.md
64Mₑ = Newly emerged mismatches from Eval(R', X) -- origin = Emerged(adapted_aspect)
high line 73

Eval function call - arbitrary code execution

SourceSKILL.md
73Phase 0: R → Eval(R, X) → Mᵢ? → AssessFit(R, X, Mᵢ) → F → Λ.fit_map := F -- applicability checkpoint + fit map (silent)
high line 75

Eval function call - arbitrary code execution

SourceSKILL.md
75Phase 2: A → adapt(A, R) → R' → TaskUpdate → Eval(R', X) → Mₑ? → TaskCreate[all Mₑ] → pending(Σ) → AssessFit(R', X, pending) → F' → Λ.fit_map := F' -- adaptation + update + re-scan + recompute fit map
high line 99

Eval function call - arbitrary code execution

SourceSKILL.md
99Eval (sense) → Internal analysis (no external tool)
Scanned on Jun 1, 2026
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GitHub Stars 109
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Categoryfinance
UpdatedJune 15, 2026
jongwony/epistemic-protocols