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Get Started Free →yogsoth-ai/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
Passed 10 of 21 test cases with the skill, and 5 of 21 without it.
and 4 more in the full report
6 fixed5 passed either way12 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 6 test cases the skill fixed. Same model, same prompt, with and without the skill.
When invoking the external evaluation tool for our ARA repository located at directory `ara/`, what artifact directory argument path should be passed to the tool call?
| Checked | Without skill | With skill |
|---|---|---|
| Passes `../ara/` as the artifact directory parameter. | Missed | Passed |
The instructions your model reads when the skill loads.
Key question: 这份 ARA 的认识论严谨度如何?逻辑弧在结构上闭合了吗?
先确认外部 rigor-reviewer skill 可 load。不可用则提示安装并停下。
跑 Level 2:Skill load rigor-reviewer,传 <artifact_dir> = ../ara/。
它对 ARA 跑六维语义审查(全是要读懂 + 推理的语义检查,不是结构校验):
产物:rigor-reviewer 在 artifact 根目录写 level2_report.json
(每维 1–5 分 + strengths/weaknesses/suggestions + severity 排序 findings +
overall grade + 给作者的问题)。
D5 低分不是错误,是"探索素材不足"信号。 透传给用户,由用户决定是否回
context-exploring 补打捞过程线。本 SOP 不自动循环。
注意:
rigor-reviewer的 D1–D6 是 ARA 自己的维度,与 DARE 的 D1–D5 评判 标准是两套东西,不要混。本 SOP 只透传 ARA 的报告,不施加 DARE 的 D1–D5。
ara/level2_report.json + 一句话总结(grade + 最该关注的 finding),交付用户。
test cases passed, vs 5 / 21 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.