Audit a bounded mathematical slice for missing or unusable Jacobian capabilities, beyond a single-operation review.
日本語の概要は準備中です。原文の説明を表示しています。
Evaluate Jacobian reliability using recently resolved conjectures as held-out probes.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Use recently resolved conjectures to probe Jacobian reliability. The outcome is an evidence-backed diagnosis, not a collection of solved examples. This skill owns source selection, deterministic replay, optional model comparisons, and attribution; Harbor packaging is a separate workflow.
python .agents/skills/recent-conjecture-evaluations/scripts/search_inventory.py \
"source or root-cause phrase" outputs benchmarks/results
Bind prompts, payloads, and oracles to the exact intended input. Reconstruct gold independently of evaluated model arms and distinguish source-supplied replay from an independent oracle. Record precise source status and dates. Computation, verification, imported theorems, and unproved claims establish different things. Timeouts, unavailable operations, and missing witnesses are non-conclusions. Never attribute a model's fallback or transcription error to Jacobian.
Audit new probes deterministically on current main before paid model calls. Run comparisons only when they resolve uncertainty that direct evidence cannot, with user-authorized cost boundaries and frozen control/treatment conditions. Do not weaken verification or create a benchmark-specific operation to make a probe pass. Before external action, apply the action policy within existing user authorization. This evaluation workflow produces at most a localized draft PR; merging is a separate user-authorized task.
Complete one requested cycle by default, including rejected and deterministic-only outcomes. An oracle disagreement stops dependent model evaluation while allowing bounded diagnosis. A known unavailable operation skips dependent work, not the attribution and report. Preserve checkpoints and raw evidence at phase boundaries; inspect a phase without a checkpoint for 30 minutes.
Additional cycles or model calls must fit the operator's requested scope and cost limits. Retry a cancelled call only with new diagnostic evidence. Stop collecting examples for an owned root cause once the agreed independence threshold is met. Report unresolved evidence and a distinct next direction without silently starting it.
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概要と使いどころ
Audit a bounded mathematical slice for missing or unusable Jacobian capabilities, beyond a single-operation review.
日本語の概要は準備中です。原文の説明を表示しています。
Diagnose malformed calls, retries, and unusable results after an agent selects an MCP tool.
日本語の概要は準備中です。原文の説明を表示しています。
Design or audit a Jacobian operation’s mathematical contract, boundedness, exact results, and composition.
日本語の概要は準備中です。原文の説明を表示しています。
Extract reusable Jacobian capabilities from a mathematical solution corpus, rather than one agent trajectory.
日本語の概要は準備中です。原文の説明を表示しています。
Investigate MCP tool availability, discovery, and selection, including controlled adoption evaluations.
日本語の概要は準備中です。原文の説明を表示しています。
Author, package, validate, or run mathematical evaluations as Jacobian Harbor datasets.
日本語の概要は準備中です。原文の説明を表示しています。