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.
npx skills add gy910210/hermes-research-skills --skill critical-iteration-lab-zhgit clone --depth 1 https://github.com/gy910210/hermes-research-skillsWrote 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.
[](https://agentmods.dev/skills/gy910210/hermes-research-skills/critical-iteration-lab-zh)<a href="https://agentmods.dev/skills/gy910210/hermes-research-skills/critical-iteration-lab-zh"><img src="https://agentmods.dev/badge/skills/gy910210/hermes-research-skills/critical-iteration-lab-zh/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.
<a href="https://agentmods.dev/skills/gy910210/hermes-research-skills/critical-iteration-lab-zh"><img src="https://agentmods.dev/badge/skills/gy910210/hermes-research-skills/critical-iteration-lab-zh.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00083 | $0.00959 |
| Opus 5 | $0.00042 | $0.00479 |
| Sonnet 5 | $0.00017 | $0.00192 |
| Haiku 4.5 | $0.00008 | $0.00096 |
Grade A, and why
critical-iteration-lab-zh 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 12d 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.
What it actually says
Hermes 适配说明
- 本 skill 现面向 Hermes 使用,优先依赖 Hermes 原生工具:
search_files、read_file、write_file、patch、session_search、delegate_task、cronjob、browser、web/search、vision。 - 若正文提到
references/...或scripts/...,优先读取当前 skill 目录下对应文件,不再依赖 Claude 专属目录结构。 - 原始 Claude
agents/openai.yaml不作为执行前提;需要并行研究、分工精读或角色评审时,改用 Hermes 的delegate_task。 - 保留原有研究方法论与产物契约,但执行层统一按 Hermes 工具体系落地。
Critical Iteration Lab(中文)
这个 skill 负责做“多轮批判性迭代”,不是普通审稿,也不是简单综述。
何时使用
- 用户明确要求“至少三轮以上 critical thinking”。
- 想让不同论文的核心 idea 互相碰撞。
- 想把一个方向从“摘要堆叠”升级成“稳定 finding + 潜在问题 + 下一轮问题”。
- 想从单篇论文比较,提升到 family-level / institution-level synthesis。
输入
evidence_mappaper_notesevidence_audititeration_depth- 默认
6
- 默认
focusidea_collisionassumption_stress_testbenefit_source_analysisfamily_route_synthesis
输出
critical_roundsround_namequestionsupporting_papers[]conflicting_papers[]interim_judgment
collision_matrixstable_findings[]unstable_claims[]new_questions[]
标准六轮
按作者叙事整理- 先接受论文自己的 framing,避免一上来过度反驳。
支持与矛盾碰撞- 让论文之间直接对照:谁支持谁,谁在挑战谁。
关键假设拆解- 找出每条路线的核心前提,检查它是否被数据/场景/系统条件限制。
收益来源反推- 判断收益到底来自 tokenizer、样本、loss、serving、reward 还是业务控制。
失败模式与不可扩展点- 梳理 latency、bias、benchmark gap、组织依赖、场景迁移风险。
family-level / institution-level synthesis- 从单论文上升到路线族、机构族或业务族的综合判断。
工作流
- 先从
paper_notes里抽核心假设,而不是只抽结果。 - 每一轮都必须区分:
- 来源直接支持的内容
- 本轮综合判断
- 仍待验证的问题
- 如果某个判断依赖机构公开路线或业务场景差异,明确写出“这属于 family-level synthesis”。
- 输出时优先保留:
- 稳定 finding
- 最强反证
- 最值得继续追的新问题
守护
- 不把“更多轮数”误写成“更深的结论”。
- 轮次之间要递进,不要六轮都只是换说法复述。
- 证据不够时,把结论降级成
hypothesis或route-level observation。 - 如果机构公开证据稀疏,明确标“公开线索较薄”,不要强写完整路线。
推荐产出形式
- 多轮批判性报告
- idea collision 矩阵
- 最稳 finding 与最不稳 claim 列表
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.
- 12d ago First seen · 82 lines · 83 tokens per session scan A e013600a4074
critical-iteration-lab-zh is a skill published in the GitHub repository gy910210/hermes-research-skills (2 stars, last pushed 4mo ago), licensed MIT. It adds 83 tokens to every session and 959 once invoked, about $0.0004 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 2026-08-31.
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