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ClawHub Agent Skills author: 姜亦朴 v1.0.0 MIT-0 34 files body ≈ 4 001 tokens Open the sourceclawhub.ai↗ analyzed 5 d ago

As a process D 40/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureInfrastructuretype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
B
85/100
safety, quality, tests
Safety 60%
97
Quality 40%
67
Run on models
none yet
Process rating
D
40/100
Unfinished process
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

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
  • low Obfuscation obf-base64-blob scripts/request/web/encrypt/decrypt_xs_xsc.py:88
    Long base64-looking blob (quoted — discussed, not commanded)
    encoded_p = "2UQAPsHC+aIjq…sQh+aHCH0rEw/HAwn+Y+Aqly…dP0+hJnR…Abx+/ZIPeZl+eW
    quoted
  • low Secrets in code secret-high-entropy-token scripts/request/web/encrypt/decrypt_xs_xsc.py:88
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    encoded_p = "2UQAPsHC+aIjq…sQh+aHCH0rEw/HAwn+Y+Aqly…dP0+hJnR…Abx+/ZIPeZl+eW
    quoted
  • low Obfuscation obf-base64-blob scripts/request/web/encrypt/web_encrypt_config.ini:23
    Long base64-looking blob (quoted — discussed, not commanded)
    BASE…BLE = "NOPQ…p89+/AUVq…9xy"
    quoted

Files scanned: 34. 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 40/100

  • 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
  • 40Consistency. Frontmatter name (xhs-search) differs from the folder (follow-xhs)
  • 60Tools and files. Uses tools (python) that frontmatter does not declare
  • 70Execution cost. Instruction body is 4001 tokens
  • 100Steps. 82 steps
  • 100Running it twice. No mutating operations

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 52: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • -2localhost URLs: will not work for another user
  • +1No license
  • +2Single-language instructions
  • +4Structure: 41 headings
  • +3Step-by-step instructions: 82 items
  • +4Has examples (25 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 67.

External checks

ClawHub: suspicious
This skill is an unofficial Xiaohongshu search helper, but it ships account-session data and uses under-disclosed authenticated browser-emulation behavior that users should review carefully.
LLM: suspicious (high) · VirusTotal: · 29 May 2026