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    Peer Review Stress Test

    2

    Stress-test an AI answer, report or paper before a human sees it: finds the weakest claim, overclaims and missing limitations, like a tough peer reviewer.

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    Peer Review Stress Test

    Peer Review Stress Test

    Example session with this skill installed

    Stress-test this draft before I publish it: "Our new API eliminates latency issues and guarantees 100% uptime, so your app will always feel instant."

    • Read your context and instructions
    • Compiled the peer review stress

    WEAKEST POINT: "Our API eliminates latency issues" is the load-bearing claim and is unsupported by the draft.

    OVERCLAIMS

    • "eliminates latency issues" -> "reduces average latency"
    • "guarantees 100% uptime" -> "targets 99.9% uptime"
    • "always feel instant" -> "feels fast in typical conditions"
      MISSING LIMITATIONS: No mention of cold-start delays or rate limits.
      UNSTATED ASSUMPTIONS: Assumes typical payload sizes; performance under large batches is untested.

    TOUGHEST QUESTIONS

    1. What benchmark backs "eliminates"? (not answered)
    2. Uptime measured over what window? (not answered)
    3. How does it behave on cold start? (not answered)
      DECISION: REVISE — soften the three overclaims and add a cold-start/rate-limit caveat before publishing.

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    About this skill

    Peer-Review Stress Test

    A pre-submission quality gate that makes your agent its own harshest reviewer.

    What this skill does

    Most agents are agreeable. They draft something plausible, lightly check it, and hand it over. A skeptical human expert does the opposite: they assume the work is flawed and try to prove it. This skill installs that posture as a final pass — the agent stops being the author and becomes a hostile reviewer of its own text before a human ever sees it.

    The output is not a rewrite. It is a structured review verdict: the single weakest point, every overclaim, every missing limitation, and a clear decision — revise, caveat, or pass.

    When to use it

    Run the stress test as the last step before delivering any output where being wrong is costly: research summaries, recommendations, analyses, technical explanations, customer-facing answers, or anything that will be quoted or acted on. It is most valuable for confident-sounding prose, because that is exactly where unearned certainty hides.

    The five review passes

    1. Weakest-claim hunt. Identify the single load-bearing claim that, if false, collapses the most of the argument, and how a critic would attack it.
    2. Overclaim scan. Flag every absolute word (always, never, proven, guarantees, eliminates) and every causal claim stated as fact, then downgrade each to what the evidence supports.
    3. Missing-limitation check. List the caveats, edge cases, and scope limits the draft conveniently omits.
    4. Unstated-assumption audit. Surface the premises the argument quietly depends on that a domain expert would challenge.
    5. Hostile-question rehearsal. Generate the three toughest questions a skeptical reviewer would ask, and check whether the draft already answers them.

    The verdict format

    The skill returns a compact, consistent block: the weakest point, overclaims found (each with a suggested downgrade), missing limitations, unstated assumptions, the three toughest reviewer questions, and a final decision — REVISE, ADD CAVEAT, or PASS — with a one-line justification.

    Why it works

    It separates the writing role from the reviewing role. The same model is far more critical when explicitly told to argue against its own draft and to score itself on adversarial criteria rather than on whether the text "sounds good." The structured passes stop the review from collapsing back into agreeable approval.

    What it is not

    This is a reasoning-and-prompting skill, not a fact-checking database. It cannot verify external facts, run code, or access the internet. It surfaces weak reasoning, unearned confidence, and missing caveats — it does not certify that the underlying claims are true. Pair it with a grounding or evidence skill when factual verification is also required.

    How to use

    Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.

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