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    Frontier Agent Systems

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    Ruthless reliability OS for long-horizon & multi-agent systems that refuse silent failure

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    Frontier Agent Systems

    Frontier Agent Systems

    Example session with this skill installed

    We have a multi-agent research system that runs for 4–8 hours unsupervised. One agent plans, three specialist agents execute tools, and a critic agent reviews intermediate results. It “mostly works” but we keep seeing goal drift and occasional coordination deadlocks after hour 3. Design the Reliability Contract and Failure Mode Catalog for this system. Be ruthless.

    • Read your context and instructions
    • Compiled the frontier agent systems
    • Generated the UI component

    Regime Classification

    • Horizon: Long-horizon (4–8 hours, estimated 80–200+ steps)
    • Topology: Hierarchical multi-agent (1 Planner → 3 Specialists + 1 Critic)
    • Autonomy: Unsupervised with monitoring (no continuous human-in-the-loop)
    • Criticality: High (research outputs used downstream)

    This is a high-risk regime. Long-horizon + multi-agent coordination failures are the dominant threat class.


    Reliability Contract

    Guarantees

    • The final research artifact must satisfy every constraint stated in the original user brief.
    • No specialist agent may call a tool outside its declared capability set.
    • The Critic must produce a structured verdict before any intermediate result is accepted as final.
    • Total tool-call cost must remain under the declared budget or the run must escalate.

    Refusals

    • Never continue execution after the Critic issues a “fatal” verdict without human override.
    • Never allow a specialist to overwrite another specialist’s shared state without explicit consensus.
    • Never treat a tool error as a successful result.

    Degradation Signals

    • Goal similarity score between original brief and current plan drops below 0.75
    • Critic rejection rate exceeds 30% in any 20-step window
    • Any agent exceeds its individual step or cost budget
    • Shared state checksum divergence between agents

    Escalation Policy

    • Automatic pause + human notification on any Critical failure mode
    • Soft warning + continued monitoring on High failure modes
    • Human must explicitly re-authorize continuation after pause

    Observability Contract

    Every trajectory must emit: agent_id, step_id, current_goal_embedding, tool_calls, critic_verdict, cumulative_cost, state_checksum

    Success Definition

    A run is successful only if (1) the final artifact passes an external validator against the original brief, (2) no Critical failure mode fired, and (3) cost stayed within budget.


    Failure Mode Catalog (excerpt)

    Failure ModeLikelihoodImpactDetection MethodMitigation / RecoveryOwner
    Goal drift after hour 3HighCriticalGoal embedding cosine < 0.75Force re-grounding to original briefPlanner
    Critic ignored by PlannerMediumCriticalCritic verdict present but plan unchangedHard gate: no plan update without CriticSystem
    Specialist deadlock on shared resourceMediumHighNo progress + mutual wait > 5 minTimeout + forced resource releaseCoordinator
    Cascading tool-error amplificationMediumHighError rate rising across agentsCircuit breaker + specialist isolationSystem
    Credit assignment collapseLowMediumNo agent claims responsibility on failureRequire explicit ownership tagsAll agents

    Full catalog expands to 18 modes covering long-horizon drift, multi-agent coordination, communication, and classic agent failures. See references for the complete taxonomy.


    Next Steps

    1. Implement the observability contract first — without it the rest is theater.
    2. Build the adversarial eval suite targeting the Critical modes above.
    3. Run the Production Gate before any unsupervised deployment claim.

    This system is not production-ready until the gate is green and residual risk has a named owner.

    frontier-agent-systems.tsx

    TSX · React component

    Generated

    Example file from a real run - the skill writes it into your workspace.

    Connects securely to your tools. The creator never sees your data.

    What you get

    Establish formal reliability contracts for unsupervised production agents.Identify coordination failures in multi-agent sequential workflows.Design adversarial eval suites that target specific system vulnerabilities.Map capability boundaries to prevent silent degradation under distribution shift.

    About this skill

    Most agent skills help you build demos. This one forces you to build systems that can actually run unsupervised.

    Frontier Agent Systems is a senior-level reliability operating system designed for people shipping long-horizon agents and multi-agent architectures. It treats happy-path demos as evidence of nothing and systematically surfaces the failure modes that kill production systems: goal drift, context pollution, coordination collapse, silent degradation, and evaluation gaming.

    What it does

    • Forces a formal Reliability Contract before any implementation work
    • Generates exhaustive failure-mode catalogs specific to long-horizon and multi-agent regimes
    • Designs adversarial evaluation harnesses that resist gaming
    • Maps true capability boundaries instead of celebrating peak performance
    • Runs a hard production-readiness gate with residual risk ownership

    Who it’s for

    Senior AI engineers, research engineers, and technical founders who are past the “it mostly works” stage and need a co-pilot that raises the bar instead of lowering it.

    This skill does not generate motivational fluff or incomplete reasoning. It attacks weak claims first and refuses soft language. If your system cannot state what it guarantees, what it refuses, and how it signals degradation, it will tell you so clearly.

    How to install

    Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.

    ~30 seconds
    1. 1

      Download the ZIP

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    2. 2

      Unzip into your skills folder

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    3. 3

      Ask your agent to use it

      Restart the agent if it was already running. It picks the skill up automatically - no config needed.

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