/assumption-audit
Surface all assumptions, classify by vulnerability (load-bearing × likely-false),
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill assumption-audit --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
/assumption-audit
Context preview
The summary Claude sees to decide when to auto-load this skill.
Surface all assumptions, classify by vulnerability (load-bearing × likely-false),
SKILL.md
assumption-audit.SKILL.mdname: assumption-audit
description: Surface all assumptions, classify by vulnerability (load-bearing × likely-false),
validate causal logic. Focus on dangerous assumptions — high load-bearing + non-explicit.
dependencies:
tactics:
- assumption-stress-test
sops:
- abp-vulnerability-classification
- clr-validation
- deep-insight-assumption-surfacing
Assumption Audit
Systematically audit assumptions underlying a method, theory, or gap.
When to Use
Need to identify which hidden assumptions are most dangerous — load-bearing yet unexamined.
Budget
| Base SOP | Target | ±10% Range | |----------|--------|------------| | web-search | 30 | 27–33 | | web-research | 10 | 9–11 | | paper-overview | 30 | 27–33 | | paper-search | 20 | 18–22 | | paper-research | 10 | 9–11 |
State Ledger
<HARD-GATE>
| SOP | Done | Target | % |
|-----|------|--------|---|
| web-search | ? | 30 | ? |
| web-research | ? | 10 | ? |
| paper-overview | ? | 30 | ? |
| paper-search | ? | 20 | ? |
| paper-research | ? | 10 | ? |
Budget Gate: OPEN/CLOSED (>=80% required to exit)
</HARD-GATE>
Available Tactics
- assumption-stress-test
Available SOPs
**Import:** web-search, web-research, paper-overview, paper-search, paper-research **Subagent:** abp-vulnerability-classification, clr-validation **Shared:** assumption-surfacing
Execution Guidance
Surface all assumptions (shared SOP), classify by vulnerability (ABP), validate causal logic (CLR 8-check). Focus on load-bearing + non-explicit assumptions.
Output Format
Assumption Audit Report — assumption inventory, vulnerability matrix, CLR validation results, priority list for challenging.
<!-- BEGIN available-tables (generated) -->
Available Tactics
Optional, no fixed order; the final leaf is always a sop.
| Tactic | When to use | | --- | --- | | assumption-stress-test | Systematic stress testing of assumptions — surface, classify by vulnerability, attack, assess fragility. Combines assumption-surfacing (shared), abp-vulnerability-classification, and clr-validation SOPs. |
Available SOPs
Optional, no fixed order; the final leaf is always a sop.
| SOP | When to use | | --- | --- | | abp-vulnerability-classification | Classify assumptions on 2 axes — load-bearing (how much conclusion depends on it) × vulnerable (how likely to be false). Focuses attention on High-Load × High-Vulnerable quadrant. | | clr-validation | Apply Goldratt's 8 Categories of Legitimate Reservation to validate causal claims. Tests clarity, existence, sufficiency, and logical integrity. | | deep-insight-assumption-surfacing | Systematically extract implicit assumptions from methods, frameworks, or arguments. Identifies what is taken for granted without explicit justification. |
<!-- END available-tables (generated) -->
Read more
name: assumption-audit description: Surface all assumptions, classify by vulnerability (load-bearing × likely-false), validate causal logic. Focus on dangerous assumptions — high load-bearing + non-explicit. dependencies: tactics: - assumption-stress-test sops: - abp-vulnerability-classification - clr-validation - deep-insight-assumption-surfacing
Assumption Audit
Systematically audit assumptions underlying a method, theory, or gap.
When to Use
Need to identify which hidden assumptions are most dangerous — load-bearing yet unexamined.
Budget
| Base SOP | Target | ±10% Range | |----------|--------|------------| | web-search | 30 | 27–33 | | web-research | 10 | 9–11 | | paper-overview | 30 | 27–33 | | paper-search | 20 | 18–22 | | paper-research | 10 | 9–11 |
State Ledger
<HARD-GATE> | SOP | Done | Target | % | |-----|------|--------|---| | web-search | ? | 30 | ? | | web-research | ? | 10 | ? | | paper-overview | ? | 30 | ? | | paper-search | ? | 20 | ? | | paper-research | ? | 10 | ? | Budget Gate: OPEN/CLOSED (>=80% required to exit) </HARD-GATE>
Available Tactics
- assumption-stress-test
Available SOPs
**Import:** web-search, web-research, paper-overview, paper-search, paper-research **Subagent:** abp-vulnerability-classification, clr-validation **Shared:** assumption-surfacing
Execution Guidance
Surface all assumptions (shared SOP), classify by vulnerability (ABP), validate causal logic (CLR 8-check). Focus on load-bearing + non-explicit assumptions.
Output Format
Assumption Audit Report — assumption inventory, vulnerability matrix, CLR validation results, priority list for challenging.
<!-- BEGIN available-tables (generated) -->
Available Tactics
Optional, no fixed order; the final leaf is always a sop.
| Tactic | When to use | | --- | --- | | assumption-stress-test | Systematic stress testing of assumptions — surface, classify by vulnerability, attack, assess fragility. Combines assumption-surfacing (shared), abp-vulnerability-classification, and clr-validation SOPs. |
Available SOPs
Optional, no fixed order; the final leaf is always a sop.
| SOP | When to use | | --- | --- | | abp-vulnerability-classification | Classify assumptions on 2 axes — load-bearing (how much conclusion depends on it) × vulnerable (how likely to be false). Focuses attention on High-Load × High-Vulnerable quadrant. | | clr-validation | Apply Goldratt's 8 Categories of Legitimate Reservation to validate causal claims. Tests clarity, existence, sufficiency, and logical integrity. | | deep-insight-assumption-surfacing | Systematically extract implicit assumptions from methods, frameworks, or arguments. Identifies what is taken for granted without explicit justification. |
<!-- 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

