/compile-and-review
Tactic: Compile the feeding plan into an ARA via the external compiler, then run Level-2 rigor review over it
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill compile-and-review --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
/compile-and-review
Context preview
The summary Claude sees to decide when to auto-load this skill.
Tactic: Compile the feeding plan into an ARA via the external compiler, then run Level-2 rigor review over it
SKILL.md
compile-and-review.SKILL.mdname: compile-and-review description: 'Tactic: Compile the feeding plan into an ARA via the external compiler, then run Level-2 rigor review over it' version: 1.0.0 category: ara-from-context type: tactic campaign: ara-from-context sops: - ara-compile - ara-rigor-review dependencies: sops: - ara-compile - ara-rigor-review
Tactic: Compile and Review
**Key question**: 把投喂计划编译成一份内部一致的 ARA,并做认识论审查。
Flow
1. `Skill` load **ara-compile** —— 把投喂计划整理成 compiler 的 `$ARGUMENTS` (路径 + 标主干 + 大方向约束 + `--output ../ara/`),一次 inline 跑 compiler, 得 `../ara/`(Seal Level 1 已过)。 2. `Skill` load **ara-rigor-review** —— 对 `../ara/` 跑 rigor-reviewer 的 Level 2 六维审查,得 `ara/level2_report.json`,透传给用户。
整条链是**一次性前向流**,不是自动迭代循环。D5 低分由用户决定是否回 `context-review` 补打捞。
Output
`ara/`(完整 ARA)+ `ara/level2_report.json`。
<!-- BEGIN available-tables (generated) -->
Available SOPs
Optional, no fixed order; the final leaf is always a sop.
| SOP | When to use | | --- | --- | | ara-compile | SOP: Turn the feeding plan into the compiler's $ARGUMENTS and run the external ARA compiler once inline to produce ../ara/ | | ara-rigor-review | SOP: Run the external ARA rigor-reviewer (Seal Level 2, six-dimension semantic review) over ../ara/ and pass its level2_report.json to the user |
<!-- 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