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BF maxhub-zhihu

知乎数据查询助手。覆盖用户信息、搜索、专栏、问答、热榜、评论等全功能。

ClawHub Hermes author: Jan丶粑粑 v3.6.1 MIT-0 9 files body ≈ 2 456 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

知乎数据查询助手。覆盖用户信息、搜索、专栏、问答、热榜、评论等全功能。

As a process F 36/100 · Will not run — References files that are not bundled: url

IntegrationSecurityWriting and documentstype and topics are labelled automatically from the skill text
Runs in: OpenClaw Hermes Agent
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
69
Run on models
none yet
Process rating
F
36/100
Will not run
References files that are not bundled: url
Tools and files w 18
0
When it triggers w 12
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. 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: 9. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when neither description nor a "## When to Use" section says when to use the skill
  • warning missing-ref reference to a missing file: url

Process rating: all ten parameters 36/100

Will not run. References files that are not bundled: url
  • 0Tools and files. 1 referenced file(s) missing: url
  • 0When it triggers. No condition that starts the skill
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Consistency. Frontmatter name (maxhub-zhihu) differs from the folder (zhihu-aggregate-scraper)
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 1 mutating operations with no state check
  • 50Failures and branches. 0 branches, has a failure section
  • 60Result and completion. Output format stated, no completion criterion
  • 100Steps. 42 steps
  • 100Execution cost. Instruction body is 2456 tokens

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)
  • +3Description length 35: 120–800 characters recommended
  • -229 emoji in the instructions: noise for the model
  • +2Single-language instructions
  • +4Structure: 29 headings
  • +3Step-by-step instructions: 42 items
  • +3Output format is stated explicitly
  • +4Has examples (3 code blocks)
  • +4Reference files are cited in the instructions (3 of 4)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 69.

External checks

ClawHub: suspicious
This appears to be a read-only Zhihu data skill, but it needs Review because the instructions include non-Zhihu fallback endpoints and weak guidance for sensitive query and session-token data sent to a third-party API.
LLM: suspicious (medium) · VirusTotal: · 2 Jun 2026