/claim-page-creation
SOP for creating a claim page in the vault — atomic proposition with
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill claim-page-creation --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
/claim-page-creation
Context preview
The summary Claude sees to decide when to auto-load this skill.
SOP for creating a claim page in the vault — atomic proposition with
SKILL.md
claim-page-creation.SKILL.mdname: claim-page-creation description: SOP for creating a claim page in the vault — atomic proposition with type classification, source attribution, and initial confidence. execution: sop
Claim Page Creation
Create a claim page in the vault representing a single atomic proposition.
Tool
CC file write + `vault_add_edge`
Protocol
1. Write `wiki/claims/<claim-slug>.md` with frontmatter:
- `type: claim`
- `claim-type:` one of [empirical, definitional, causal, normative, existential]
- `confidence:` initial confidence (0.0-1.0) based on source quality
- `source:` attribution to the originating source page
2. Body: the claim stated clearly in one sentence, followed by brief context 3. Add edge: `derived_from` (claim → source page) 4. If related claims exist, add `related_to` edges 5. **Inline wikilinks:** For each edge created, ensure the claim page body contains `[[dir/slug]]` pointing to the target (dir/slug = target path minus `.md`). Place inline at semantically relevant location. Skip if already present.
HARD-GATE
<HARD-GATE> Claim must be atomic — one proposition only. If it contains "and", "but", "because", or multiple independent assertions, it must be decomposed first. </HARD-GATE>
Yield
Returns: `{ path: string, claim_type: string, confidence: number }`
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