SKILLEMALL.ai

BC zhihu-for-opencode

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ClawHub Agent Skills author: Jeff Yang v1.0.0 MIT-0 13 files · 4 scripts body ≈ 1 125 tokens Open the sourceclawhub.ai analyzed 2 d ago

使用知乎开放平台搜索知乎和全网内容、获取热榜、调用知乎直答,或读取当前用户自己的知乎创作、关注与收藏。用户提到知乎搜索、社区观点、真实经验、热点、热榜、知乎直答、我的知乎内容、我的关注、我的收藏、开放平台、API、MCP、Access Secret,或要求查看、安装和配置知乎 Skill…

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
83/100
safety, quality, tests
Safety 60%
85
Quality 40%
79
Run on models
none yet
Process rating
C
53/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Dangerous commands medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The skill contains commands that delete files, rewrite disks or execute code fetched from the network. The agent may run them without asking if it believes the instructions require it.

For the author

Replace destructive commands with safe equivalents that ask for confirmation, scope them to one folder, and stop piping curl into a shell: pin a version and a checksum.

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
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 · 3

✓ No critical or high findings

Medium and low: 3
  • medium Dangerous commands cmd-execpolicy-bypass references/cli.md:29
    Runs PowerShell with execution policy bypassed
    powershell -ExecutionPolicy Bypass -File <skill-dir>/scripts/run.ps1 status
  • medium Dangerous commands cmd-execpolicy-bypass references/cli.md:39
    Runs PowerShell with execution policy bypassed
    powershell -ExecutionPolicy Bypass -File <skill-dir>/scripts/setup.ps1
  • medium Dangerous commands cmd-execpolicy-bypass SKILL.md:24
    Runs PowerShell with execution policy bypassed
    powershell -ExecutionPolicy Bypass -File <skill-dir>/scripts/run.ps1 status

Files scanned: 13. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 53/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 100Tools and files. No external tools needed
  • 100Steps. 24 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1125 tokens
  • 100Running it twice. No mutating operations
  • low The response is described with custom markup (6 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
  • +1No license
  • +2Single-language instructions
  • +3Description length 183: enough signal without eating the budget
  • +4Structure: 13 headings
  • +3Step-by-step instructions: 24 items
  • +4Has examples (10 code blocks)
  • +4Reference files are cited in the instructions (6 of 6)
  • +3All 4 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 79.

External checks

ClawHub: clean
This is a disclosed Zhihu CLI/API skill whose install and credential behavior is purpose-aligned, but users should treat the Access Secret as a sensitive credential.
LLM: benign (medium) · VirusTotal: · 17 Aug 2026