compile-and-review

compile-and-review is a skill for Claude Code from yogsoth-ai/de-anthropocentric-research-engine. It costs 29 tokens per session (440 once invoked), scanned A, original, Apache-2.0.

A workflow for turning a feeding plan into an ARA, a structured internal analysis, and then checking it with a six-part review.

In plain words
What is it for?
It is for producing an ARA from a defined plan and generating a Level-2 rigor-review report.
Why use it?
It combines compilation and review so inconsistencies or reasoning weaknesses can be identified in the resulting analysis.

Skill for Claude Code

Written for Claude Code: $ARGUMENTS substitution.

Good fit It is for producing an ARA from a defined plan and generating a Level-2 rigor-review report.

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Install with agentmods
npx agentmods add skills/yogsoth-ai/de-anthropocentric-research-engine/compile-and-review
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill compile-and-review
Clone the repo
git clone --depth 1 https://github.com/yogsoth-ai/de-anthropocentric-research-engine

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for compile-and-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/yogsoth-ai/de-anthropocentric-research-engine/compile-and-review/github.svg)](https://agentmods.dev/skills/yogsoth-ai/de-anthropocentric-research-engine/compile-and-review)
Your own site
<a href="https://agentmods.dev/skills/yogsoth-ai/de-anthropocentric-research-engine/compile-and-review"><img src="https://agentmods.dev/badge/skills/yogsoth-ai/de-anthropocentric-research-engine/compile-and-review/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for compile-and-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/yogsoth-ai/de-anthropocentric-research-engine/compile-and-review"><img src="https://agentmods.dev/badge/skills/yogsoth-ai/de-anthropocentric-research-engine/compile-and-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 29 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 440 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00029 $0.00440
Opus 5 $0.00015 $0.00220
Sonnet 5 $0.00006 $0.00088
Haiku 4.5 $0.00003 $0.00044

Measured 9d ago against content hash 8c1546b182ac, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

compile-and-review scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/compile-and-review/SKILL.md · 48 lines

What it actually says

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

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
Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 9d ago First seen · 48 lines · 29 tokens per session scan A 8c1546b182ac

Subscribe to this mod's changes

compile-and-review is a skill published in the GitHub repository yogsoth-ai/de-anthropocentric-research-engine (464 stars, last pushed today), licensed Apache-2.0. It adds 29 tokens to every session and 440 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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