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BF zhihu-research-page

通过大规模联网搜索自动创建知乎风格的深度知识网页，样式高度还原 zhihu.com。生成 10 个章节的多答主模拟回答页面，含 ≥10 万有效中文字和 ≥500 次真实搜索引用。支持手动裁剪为任意比例版本（如"执行 5% 版本"→ ≥5 千字 / ≥25 次搜索），多次执行自动创建带版本号的独立文件夹。适用于生成知识专题页、学习路径教程、产品深度百科、行业研究报告等需要系统整理某一主题知识的场景。

ClawHub Hermes author: Object133 v0.1.0 MIT-0 17 files body ≈ 7 047 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

通过大规模联网搜索自动创建知乎风格的深度知识网页，样式高度还原 zhihu.com。生成 10 个章节的多答主模拟回答页面，含 ≥10 万有效中文字和 ≥500 次真实搜索引用。支持手动裁剪为任意比例版本（如"执行 5% 版本"→ ≥5 千字 / ≥25…

As a process F 31/100 · Will not run — References files that are not bundled: references/css-template.css

IntegrationGitHubResearchtype and topics are labelled automatically from the skill text
Runs in: OpenClaw Hermes Agent
JSON
Technical rating
B
76/100
safety, quality, tests
Safety 60%
100
Quality 40%
39
Run on models
none yet
Process rating
F
31/100
Will not run
References files that are not bundled: references/css-template.css
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  2. For Hermes the description must be one sentence under 60 characters; move the conditions to a "When to Use" section.
  3. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
  4. The text references files that are not there: add them or drop the references.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 0

✓ No critical or high findings

Files scanned: 1. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning frontmatter-yaml SKILL.md: the frontmatter is not valid YAML (YAML parse error: Implicit map keys need to be followed by map values at line 6, column 1: description: 通过大规模联网搜索自动创建知乎风格的深度知识网页，样式高度还原 zhihu.com。生成 10 个章节的多答主模拟回答页面，含 ≥1… **[重要]100%版本约需 100 分钟且token消耗巨大，建议先生成 2% 版本检验效果** type: "agent" ^^ ); fields were read line by line. The usual cause is a colon inside an unquoted value
  • warning description-long-hermes description is 200 chars; the Hermes authoring standard requires ≤ 60 (one sentence, ending with a period)
  • warning description-no-when neither description nor a "## When to Use" section says when to use the skill
  • warning body-long SKILL.md body ≈ 7047 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: references/css-template.css
  • note frontmatter-key unknown frontmatter key "title"
  • note frontmatter-key unknown frontmatter key "type"
  • note frontmatter-key unknown frontmatter key "invocation"
  • note frontmatter-key unknown frontmatter key "difficulty"
  • note frontmatter-key unknown frontmatter key "claude_version"
  • note frontmatter-key unknown frontmatter key "permissions"
  • note frontmatter-key unknown frontmatter key "examples"

Process rating: all ten parameters 31/100

Will not run. References files that are not bundled: references/css-template.css
  • 0Tools and files. 1 referenced file(s) missing: references/css-template.css
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 1 mutating operations with no state check
  • 40Consistency. Frontmatter name (zhihu-research-page) differs from the folder (zhihu-research-page-skill)
  • 50Failures and branches. 0 branches, has a failure section
  • 70Execution cost. Instruction body is 7047 tokens
  • 100Steps. 139 steps
  • low 16 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (18 tags): a typed call is more reliable

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • -219 emoji in the instructions: noise for the model
  • +2Single-language instructions
  • +3Description length 200: enough signal without eating the budget
  • +4Structure: 62 headings
  • +3Step-by-step instructions: 139 items
  • +4Has examples (25 code blocks)
  • +3All 3 scripts are documented
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 39.

External checks

ClawHub: suspicious
This appears to be a real research-page generator, but it needs Review because it can infer private context, run extensive web/search workflows, alter local agent permissions, and persist task data without enough explicit user control.
LLM: suspicious (high) · 24 Jul 2026