/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.
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill formated-results --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
/formated-results
Context preview
The summary Claude sees to decide when to auto-load this skill.
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.
SKILL.md
formated-results.SKILL.mdname: formated-results description: 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.
formated-results
You are the closing step, loaded by `formated-specs`. Summarize the design you just produced into one fenced block, in the same dialogue. Add no new research — only summarize what `formated-specs` already orchestrated.
Hard contract
1. Emit exactly one fenced block opened with ` ```research-result ` (that exact info-string) and closed with ` ``` `. 2. Body is a single valid JSON object, the schema below. 3. Emit it **into your reply (the dialogue)**, not to a file. 4. Atomicity: one assistant turn. 5. On revision, emit a new full block; the harness keeps the LAST one. 6. Same-source: only summarize the design `formated-specs` produced. The depth is document-level (hypothesis + design body); do not run experiments.
research-result schema
{
"title": "<one-line title of the design>",
"sections": [ {"heading": "<section heading>", "body": "<design prose>"} ],
"artifacts": [ "<spec filename or figure reference>" ]
}Sections carry the design body. Judge nothing against academic standards.
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-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 - /argumentative-zoning
Tactic: Label every sentence of one paper with its rhetorical role using Argumentative Zoning. Use when fixed rhetorical labels and cross-paper alignment matter.
Open skill