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…
Map parameter space, generate extreme values, test at boundaries, detect
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill boundary-probing --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/boundary-probingContext preview
The summary Claude sees to decide when to auto-load this skill.
Map parameter space, generate extreme values, test at boundaries, detect
name: boundary-probing description: Map parameter space, generate extreme values, test at boundaries, detect breakpoints, synthesize validity envelope. type: tactic strategies: - boundary-enumeration - validity-envelope-mapping - critical-case-design dependencies: sops: - breakpoint-detection - extreme-value-generation - parameter-space-mapping - stress-test-validity-envelope-construction
1. Receive claim and parameter context from strategy 2. Dispatch `parameter-space-mapping` to identify all dimensions 3. For each dimension, dispatch `extreme-value-generation`:
4. Dispatch `breakpoint-detection` at each extreme value 5. Record pass/fail for each probe point 6. Dispatch `validity-envelope-construction` to synthesize boundaries
<!-- BEGIN available-tables (generated) -->
Optional, no fixed order; the final leaf is always a sop.
| SOP | When to use | | --- | --- | | breakpoint-detection | Test a claim at extreme parameter values and detect the precise point where it breaks down. | | extreme-value-generation | Generate boundary and extreme test values for a given parameter dimension to stress-test claims. | | parameter-space-mapping | Identify all parameter dimensions along which a claim's validity might vary. | | stress-test-validity-envelope-construction | Synthesize breakpoints across dimensions into a coherent validity envelope for a claim. |
<!-- 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
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…
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.…
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…
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…
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…
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…