discernment-nudge
claudeAppends two or three short follow-up questions after a substantive answer to help users check key facts, probe the reasoning, and notice missing context
19 skills
Deep argument interrogation — one command maps a claim, then attacks it from five adversarial angles (logic, evidence, counter, assumptions, integrity). A six-check calibration gate refuses to manufacture objections: on a sound argument, most angles return [SOUND]. Returns a calibrated verdict (HOLDS / HOLDS-IF-NARROWED / WOUNDED / DEFEATED).
Plugin reason-grill from marketplace xiaolai in xiaolai/reason-grill-for-claude. Commands read from the repo's manifest — 1 month ago.
reason-grill-assumptionsHunt an argument's silent load-bearing premises and the boundaries where its claim breaks — hidden assumptions, over-generalization, boundary failures, and base-rate/context-transfer errors. Part of the reason-grill deep-dive.
reason-grill-coreCore conventions for all reason-grill analysis skills — the calibration gate, severity scale, repair-cost tags, finding format, three-finding budget, and untrusted-input handling. Load whenever a reason-grill analysis skill is active.
reason-grill-counterRed-team an argument — build the strongest steelmanned case against the thesis and test whether the argument survives it. Part of the reason-grill deep-dive; also useful before defending a position, to surface the objections it fails to pre-empt.
reason-grill-evidenceTest whether an argument's premises are true, supported, and calibrated — unsupported claims stated as fact, confidence miscalibration, cherry-picking, correlation-as-causation, unfalsifiable claims. Part of the reason-grill deep-dive.
reason-grill-integrityTest whether an argument's framing is honest and how it behaves under objection — motte-and-bailey structure, dodged objections, loaded framing, authority/emotion substituting for reasoning, and uncalibrated certainty. Part of the reason-grill deep-dive.
reason-grill-logicTest the validity of an argument's inference — does the conclusion follow if you grant the premises? Hunts non-sequiturs, circularity, equivocation, and quantifier slips. Part of the reason-grill deep-dive.
reason-grill-roastUse when the user asks to grill, roast, stress-test, red-team, pressure-test, or deep-review an argument, claim, essay, proposal, memo, or piece of reasoning. Maps the claim, attacks it from five adversarial angles (logic, evidence, counter, assumptions, integrity), and returns a calibrated verdict
reason-grill-thesisMap an argument before critique — extract the central claim, explicit and implicit premises, inference structure, claim type, and evidence offered. Runs first in a reason-grill interrogation; also useful standalone to disentangle what a piece of writing is actually claiming.
/reason-grill:roastDeep argument interrogation — map a claim, attack it from five adversarial angles, and return a calibrated verdict on whether it survives
assumptionsUse this agent to hunt an argument's silent load-bearing premises and the boundaries where its claim breaks — hidden assumptions, over-generalization, boundary failures, and base-rate/context-transfer errors. Also the right choice when a claim is proven for a narrow case but asserted broadly. Part o
counterUse this agent to red-team an argument — build the strongest steelmanned case against the thesis and test whether the argument survives it. Part of the reason-grill deep-dive phase. Also use it proactively before someone defends a position, to surface the hardest objections skeptics will raise and t
evidenceUse this agent to test whether an argument's premises are true, supported, and calibrated. Hunts unsupported claims stated as fact, confidence miscalibration, cherry-picking, correlation-as-causation, and unfalsifiable claims — including a confident piece whose "always" and "proven" rest on thin sup
integrityUse this agent to test whether an argument's framing is honest and how it behaves under objection — motte-and-bailey structure, dodged objections, loaded framing, authority/emotion substituting for reasoning, and uncalibrated certainty. Also the right choice when a piece feels like it is pulling a f
logicUse this agent to test the validity of an argument's inference — does the conclusion follow if you grant the premises? Hunts non-sequiturs, circularity, equivocation, and quantifier slips, including an argument that sounds convincing but hides a sleight of hand between premises and conclusion. Part
thesisUse this agent to map an argument before critique — extract the central claim, explicit and implicit premises, inference structure, claim type, and evidence offered. Part of the reason-grill interrogation phase (always runs first). Also useful on its own when the user can't tell what a piece of writ
Appends two or three short follow-up questions after a substantive answer to help users check key facts, probe the reasoning, and notice missing context
19 skills
Scaffold, validate, and publish new Claude Code plugins with proper structure
3 skills · 1 command · 1 agent
Claude Code skill for creating and presenting Slidev slidedecks
1 skill
Turn a tangled working tree into a clean, reviewable commit series. Three deterministic stdlib scripts over git: a series planner that groups changes into commits in build-safe order (manifest with lockfile, pure moves, formatting, each module's change with its tests, docs, CI), holds back .env and key files, and flags mixed formatting and moves whose callers would break; a secret gate that scans staged or pushed lines for provider tokens, high-entropy secrets, sensitive files and conflict markers and blocks before the commit exists, with redacted output and reasoned waivers; and a message linter that blocks vague subjects, missing why on large changes and pending fixup commits, matching the repo's own convention. Ships pre-commit, commit-msg and pre-push hooks, cs-commit-craft agent, /cs-commit-craft and /cs-commit-check commands and 3 cited references.
1 skill · 2 commands · 1 agent
Observability plugin for Claude Code with MLflow tracing
Skills for adding DeepEval evaluations, tracing, datasets, Confident AI reports, and iterative improvement loops to AI applications.
3 skills
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