/benchmark-sweep
Systematically scan all known solutions, identify gaps in coverage and
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill benchmark-sweep --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
- Slash command
/benchmark-sweep
Context preview
The summary Claude sees to decide when to auto-load this skill.
Systematically scan all known solutions, identify gaps in coverage and
SKILL.md
benchmark-sweep.SKILL.mdname: benchmark-sweep
description: Systematically scan all known solutions, identify gaps in coverage and
unexplored regions of the solution space.
execution: strategy
dependencies:
sops:
- creative-ideation-benchmark-inventory
- enumeration-synthesis
- intersection-evaluation
- method-problem-crossing
tactics:
- coverage-analysis
Benchmark Sweep
Systematically scan all known solutions in a domain, catalog their properties, and identify gaps where no solution exists.
State Ledger
| Resource | Target | Current | % | |----------|--------|---------|---| | web-search | 30 | 0 | 0% | | web-research | 10 | 0 | 0% | | paper-overview | 30 | 0 | 0% | | paper-search | 20 | 0 | 0% | | paper-research | 8 | 0 | 0% |
HARD-GATE
Cannot exit strategy until ≥80% of each budget line is consumed OR yield targets are met with justification for remaining budget.
Available Tactics
| Tactic | Role | |--------|------| | coverage-analysis | Inventory → crossing → intersection evaluation pipeline | | evaluation-filtering | Score and filter generated gap-filling ideas |
Available SOPs
| SOP | Role | |-----|------| | benchmark-inventory | Catalog all known solutions with performance/applicability/limitations | | method-problem-crossing | Build cross-reference matrix from inventory | | intersection-evaluation | Annotate matrix cells as explored/partial/unexplored | | enumeration-synthesis | Synthesize sweep findings into structured report |
Execution Guidance
1. **Inventory**: Run benchmark-inventory to catalog all known methods 2. **Structure**: Use method-problem-crossing to organize into matrix form 3. **Evaluate**: Run intersection-evaluation to find gaps 4. **Generate**: For each gap, brainstorm potential solutions 5. **Filter**: Apply evaluation-filtering to rank gap-filling ideas 6. **Synthesize**: Produce final report via enumeration-synthesis
<!-- BEGIN available-tables (generated) -->
Available Tactics
Optional, no fixed order; the final leaf is always a sop.
| Tactic | When to use | | --- | --- | | coverage-analysis | Systematic coverage evaluation pipeline — benchmark inventory, method-problem crossing, and intersection evaluation to map explored vs unexplored solution space. |
Available SOPs
Optional, no fixed order; the final leaf is always a sop.
| SOP | When to use | | --- | --- | | creative-ideation-benchmark-inventory | Catalog all known solutions/methods in a domain with performance, applicability, and limitations. | | enumeration-synthesis | Synthesize all systematic enumeration outputs into a structured idea report with prioritized recommendations. | | intersection-evaluation | Evaluate exploration status of each cell in a method×problem matrix, annotating as explored, partial, or unexplored. | | method-problem-crossing | Build method×problem cross-reference matrix showing which methods have been applied to which problems. |
<!-- END available-tables (generated) -->
Read more
name: benchmark-sweep description: Systematically scan all known solutions, identify gaps in coverage and unexplored regions of the solution space. execution: strategy dependencies: sops: - creative-ideation-benchmark-inventory - enumeration-synthesis - intersection-evaluation - method-problem-crossing tactics: - coverage-analysis
Benchmark Sweep
Systematically scan all known solutions in a domain, catalog their properties, and identify gaps where no solution exists.
State Ledger
| Resource | Target | Current | % | |----------|--------|---------|---| | web-search | 30 | 0 | 0% | | web-research | 10 | 0 | 0% | | paper-overview | 30 | 0 | 0% | | paper-search | 20 | 0 | 0% | | paper-research | 8 | 0 | 0% |
HARD-GATE
Cannot exit strategy until ≥80% of each budget line is consumed OR yield targets are met with justification for remaining budget.
Available Tactics
| Tactic | Role | |--------|------| | coverage-analysis | Inventory → crossing → intersection evaluation pipeline | | evaluation-filtering | Score and filter generated gap-filling ideas |
Available SOPs
| SOP | Role | |-----|------| | benchmark-inventory | Catalog all known solutions with performance/applicability/limitations | | method-problem-crossing | Build cross-reference matrix from inventory | | intersection-evaluation | Annotate matrix cells as explored/partial/unexplored | | enumeration-synthesis | Synthesize sweep findings into structured report |
Execution Guidance
1. **Inventory**: Run benchmark-inventory to catalog all known methods 2. **Structure**: Use method-problem-crossing to organize into matrix form 3. **Evaluate**: Run intersection-evaluation to find gaps 4. **Generate**: For each gap, brainstorm potential solutions 5. **Filter**: Apply evaluation-filtering to rank gap-filling ideas 6. **Synthesize**: Produce final report via enumeration-synthesis
<!-- BEGIN available-tables (generated) -->
Available Tactics
Optional, no fixed order; the final leaf is always a sop.
| Tactic | When to use | | --- | --- | | coverage-analysis | Systematic coverage evaluation pipeline — benchmark inventory, method-problem crossing, and intersection evaluation to map explored vs unexplored solution space. |
Available SOPs
Optional, no fixed order; the final leaf is always a sop.
| SOP | When to use | | --- | --- | | creative-ideation-benchmark-inventory | Catalog all known solutions/methods in a domain with performance, applicability, and limitations. | | enumeration-synthesis | Synthesize all systematic enumeration outputs into a structured idea report with prioritized recommendations. | | intersection-evaluation | Evaluate exploration status of each cell in a method×problem matrix, annotating as explored, partial, or unexplored. | | method-problem-crossing | Build method×problem cross-reference matrix showing which methods have been applied to which problems. |
<!-- END available-tables (generated) -->
The complete research orchestration system for AI-native science. What It Does Design Philosophy Architecture (v3.2.2) Quick Start Configuration Roadmap License DARE is not a tool that helps you do research. It is the researcher.
Repo: yogsoth-ai/de-anthropocentric-research-engine
Other skills on de-anthropocentric-research-engine.
- /formated-results
Closing skill for the research-executor, loaded as the last step of formated-specs. Summarize the design just produced into one research-result JSON fenced block in your reply. Do not execute the research.
Open skill - /formated-specs
Spec-slot skill for the research-executor. Emit the 4-layer DARE orchestration of the assigned topic as one research-graph JSON fenced block in your reply. Replaces the generic spec-writing step.
Open skill - /injection-fidelity
Loss-1 judge (codex role). Given one sample's de-identified dialogue and its PolicyCard, decide axis-by-axis whether the user-simulator enacted the card's per-axis pressure. Judge enactment of the card, never whether the research is good.
Open skill - /ladder-quality-order
Loss-2 judge (codex role). Over one topic's 6 shuffled research-design samples, pairwise-rank by quality using the D1–D5 standard. Emit the pairwise log; the harness computes the order and the ladder verdicts. Judge quality difference, never against academic standards.
Open skill - /optimization-loop
The optimizer brain for the ladder-foundry pretraining loop. Runs the two-level nested batch loop, delegates gating to gate_eval, attributes a failing batch to one weight (attribute-first), and recovers from disk after compaction. Control flow is fully scripted; only the
Open skill - /acu-nugget-recall
Tactic: Extract atomic units from one paper and score how much of a caller-supplied summary covers. Use for ACU-style binary or Nugget-style ternary recall checks; cannot run without a target summary.
Open skill

