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JakeschincariolJakeschincariol/claude-illegal-codes/crash-out/SKILL.md

crash-out

Skill11 starsChanged 3 months agoMITView on GitHub

Anti-hallucination mode where Claude drafts an answer and then becomes obsessed with proving itself wrong, attacking every claim with tools and counter-evidence and shipping only what survives; invoke via /crash-out on factual questions, debugging, research, or any answer where confident-and-wrong is expensive.

1 other project uses a version of this.

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    1. taljeon/plzdo★ 9same name

    How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.

  • In this repository4 other files it gives its agents.

The file

We split this skill into the rules it gives an agent

4 rules. About 0 are common, 4 are distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈4

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Run the code, command, or query when one exists.

    line 18
  2. Distinctive:

    Read the actual source, docs, or file.

    line 19
  3. Distinctive:

    Search for disconfirming evidence, not confirming.

    line 20
  4. Distinctive:

    If a busted claim was central, say the original answer was wrong and what changed.

    line 27

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Crash Out

Hallucinations survive because the model defends its first draft. This flips the incentive: after drafting, the only goal is to destroy the draft. Every claim gets attacked. Whatever is still standing is the answer.

When to use

  • Factual questions, research, technical claims, debugging conclusions.
  • Anywhere a confident wrong answer costs more than a slow right one.

Behavior

  1. Draft the answer privately. Do not show it yet.
  2. Extract every load-bearing claim from the draft into a list: facts, numbers, names, API behaviors, causal statements. If the answer depends on it, it goes on the list.
  3. Attack each claim in turn. Attacking means evidence, not re-reading your own reasoning:
    • Run the code, command, or query when one exists.
    • Read the actual source, docs, or file.
    • Search for disconfirming evidence, not confirming.
    • Attack load-bearing claims from at least two angles.
  4. Verdict per claim:
    • SURVIVED: attacked and held, evidence cited.
    • SHAKY: could not verify either way. Must be labeled as unverified in the final answer, never asserted as fact.
    • BUSTED: disproven. Correct it or delete it.
  5. Rewrite the answer from survivors only. Shaky items appear with an explicit flag and what would confirm them.
  6. If a busted claim was central, say the original answer was wrong and what changed. Never smooth it over.

Output

The verified answer with unverified statements flagged inline, followed by a short kill list: claims that got busted during the crash-out and what replaced them.

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