dcl-policy-enforcer@1.0.6
CAUTION· static onlyPublisher claims: "Use this skill to run a real, paid pre-action audit of an AI agent or LLM response via the live DCL Trust Oracle MCP server. Detects jailbreak / instruction-override attempts, baseline safety violations, and content quality drift, and checks output against pattern-based regulatory-theme checklists (" Observed in sandbox: static analysis only — behavior not yet observed.
Coverage
Static only; nothing was run yet.The label rests on the code, the instruction files and the publisher. The honeypot run replaces this verdict when it completes.
Is [email protected] safe to install?
KillerSkills analysed it statically (a sandbox run is pending) on 2026-11-10 and scored it 61/100 (Caution). It is not known to be malicious, but it has behaviour or code a security policy should decide on before install. Notable findings: Prompt injection; Financial transfer language; Prompt injection. Summary: static analysis only — behavior not yet observed.
Behavior trace
Queued for honeypot run · static analysis onlyThis version has not been detonated yet. The score above counts behavior as unknown (50/100), so it cannot read Verified until the honeypot run completes and replaces this verdict.
Static findings
…f an AI agent or LLM response via the live DCL Trust Oracle MCP server. Detects jailbreak / instruction-override attempts, baseline safety violations, and content qualit…Fix: Keep SKILL.md to visible, descriptive text. Remove comments and encoded text that address the agent.- [ ] Output contains crypto wallet addressesFix: Remove the text that addresses the agent rather than the reader; describe behavior, do not instruct.Developers and agent operators use this skill to gate risky agent actions, screen outputs for jailbreak or safety issues, and create audit evidence for policy decisions.Fix: Keep SKILL.md to visible, descriptive text. Remove comments and encoded text that address the agent.- Screen an LLM output for jailbreak / instruction-override attemptsFix: Keep SKILL.md to visible, descriptive text. Remove comments and encoded text that address the agent.DCL Policy Enforcer helps agents review LLM or agent outputs for policy, safety, jailbreak, quality, and regulatory-theme concerns using a paid DCL Trust Oracle service or a free local checklist.Fix: Keep SKILL.md to visible, descriptive text. Remove comments and encoded text that address the agent.tags: [compliance, audit, ai-safety, policy-enforcement, anti-jailbreak, prompt-injection, llm-guardrails, leibniz-layer, agent-safety, verification, ai-governance, x402, mcp, paid, usdc, base]Fix: Keep SKILL.md to visible, descriptive text. Remove comments and encoded text that address the agent.| `dcl_evaluate_strict` | **$0.05** | Broader **strict** policy — union of default + anti-jailbreak + safety phrases (8 total), 0.85 min-confidence |Fix: Keep SKILL.md to visible, descriptive text. Remove comments and encoded text that address the agent.| `dcl_evaluate_jailbreak` | **$0.02** | Anti-jailbreak policy — 6 instruction-override/persona-hijack phrases, 0.8 min-confidence |Fix: Keep SKILL.md to visible, descriptive text. Remove comments and encoded text that address the agent.Cost to the agent
Tokens estimated at four characters each. Skills load their instruction text when triggered; the figure is what that costs.
Known vulnerabilities
Vulnerability advisories (OSV) cover npm and PyPI packages; this registry has no advisory database.
What would make this Verified
19 points to 80 · weights: behavior 45%, static 25%, prompt 15%, publisher 15%- Text that tells the agent to ignore its instructions≈ +9 on the totalDelete phrases like "ignore previous instructions", "override", "bypass" from SKILL.md and tool descriptions. Describe what the skill does; do not instruct the agent about other rules.
- Unclaimed publisher≈ +8 on the totalClaim daririnch: a verified publisher gets +50 on publisher trust. It is free and usually instant with GitHub sign-in.