Audit a bounded mathematical slice for missing or unusable Jacobian capabilities, beyond a single-operation review.
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Evaluate Jacobian reliability using recently resolved conjectures as held-out probes.
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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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Audit a bounded mathematical slice for missing or unusable Jacobian capabilities, beyond a single-operation review.
The English summary is being prepared. Showing the original description.
Diagnose malformed calls, retries, and unusable results after an agent selects an MCP tool.
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Design or audit a Jacobian operation’s mathematical contract, boundedness, exact results, and composition.
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Extract reusable Jacobian capabilities from a mathematical solution corpus, rather than one agent trajectory.
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Investigate MCP tool availability, discovery, and selection, including controlled adoption evaluations.
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Author, package, validate, or run mathematical evaluations as Jacobian Harbor datasets.
The English summary is being prepared. Showing the original description.