/boundary-unfolding
Systematically expose hidden system boundaries — CSH 12-question is/ought
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill boundary-unfolding --agent claude-codeHow it fires
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/boundary-unfolding
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Systematically expose hidden system boundaries — CSH 12-question is/ought
SKILL.md
boundary-unfolding.SKILL.mdname: boundary-unfolding
description: Systematically expose hidden system boundaries — CSH 12-question is/ought
comparison, identify excluded stakeholders, reveal blind spots. Combines csh-12-question,
jtbd-mapping, and salience-classification SOPs.
execution: tactic
dependencies:
sops:
- csh-12-question
- deep-insight-multi-stakeholder-simulation
- jtbd-mapping
- salience-classification
Boundary Unfolding
Expose hidden system boundaries and excluded perspectives.
Operations
- csh-12-question — 4 dimensions × 3 questions, is vs ought
- jtbd-mapping — stakeholder jobs-to-be-done
- salience-classification — power/legitimacy/urgency classification
Available SOPs
**Subagent:** csh-12-question, jtbd-mapping, salience-classification **Shared:** multi-stakeholder-simulation
Execution Guidance
Apply CSH 12 questions (4 dimensions × 3 questions, is vs ought). Map stakeholder jobs. Classify by salience model. Identify who is systematically excluded from the current framing.
Minimum Yield
<HARD-GATE>
- CSH matrix: >= 1 completed
- stakeholders mapped: >= 4
- salience classifications: >= 4
- excluded perspectives identified: >= 1
</HARD-GATE>
<!-- BEGIN available-tables (generated) -->
Available SOPs
Optional, no fixed order; the final leaf is always a sop.
| SOP | When to use | | --- | --- | | csh-12-question | Apply Ulrich's Critical Systems Heuristics 12 questions across 4 dimensions (motivation, control, expertise, legitimacy) comparing is vs ought. | | deep-insight-multi-stakeholder-simulation | Simulate multiple stakeholder perspectives evaluating a research gap, method, or proposal. Identifies blind spots from single-perspective analysis. | | jtbd-mapping | Map stakeholder Jobs-to-be-Done — functional, emotional, and social jobs for each affected party. Identifies unserved jobs as opportunity signals. | | salience-classification | Classify stakeholders by Mitchell et al. framework (Power, Legitimacy, Urgency). Assigns salience category and identifies systematically excluded parties. |
<!-- END available-tables (generated) -->
Read more
name: boundary-unfolding description: Systematically expose hidden system boundaries — CSH 12-question is/ought comparison, identify excluded stakeholders, reveal blind spots. Combines csh-12-question, jtbd-mapping, and salience-classification SOPs. execution: tactic dependencies: sops: - csh-12-question - deep-insight-multi-stakeholder-simulation - jtbd-mapping - salience-classification
Boundary Unfolding
Expose hidden system boundaries and excluded perspectives.
Operations
- csh-12-question — 4 dimensions × 3 questions, is vs ought
- jtbd-mapping — stakeholder jobs-to-be-done
- salience-classification — power/legitimacy/urgency classification
Available SOPs
**Subagent:** csh-12-question, jtbd-mapping, salience-classification **Shared:** multi-stakeholder-simulation
Execution Guidance
Apply CSH 12 questions (4 dimensions × 3 questions, is vs ought). Map stakeholder jobs. Classify by salience model. Identify who is systematically excluded from the current framing.
Minimum Yield
<HARD-GATE> - CSH matrix: >= 1 completed - stakeholders mapped: >= 4 - salience classifications: >= 4 - excluded perspectives identified: >= 1 </HARD-GATE>
<!-- BEGIN available-tables (generated) -->
Available SOPs
Optional, no fixed order; the final leaf is always a sop.
| SOP | When to use | | --- | --- | | csh-12-question | Apply Ulrich's Critical Systems Heuristics 12 questions across 4 dimensions (motivation, control, expertise, legitimacy) comparing is vs ought. | | deep-insight-multi-stakeholder-simulation | Simulate multiple stakeholder perspectives evaluating a research gap, method, or proposal. Identifies blind spots from single-perspective analysis. | | jtbd-mapping | Map stakeholder Jobs-to-be-Done — functional, emotional, and social jobs for each affected party. Identifies unserved jobs as opportunity signals. | | salience-classification | Classify stakeholders by Mitchell et al. framework (Power, Legitimacy, Urgency). Assigns salience category and identifies systematically excluded parties. |
<!-- 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

