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ClawHub Agent Skills author: carcloud-ml v0.1.1 MIT-0 11 files body ≈ 684 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process D 48/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureTelegramSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
B
84/100
safety, quality, tests
Safety 60%
92
Quality 40%
72
Run on models
none yet
Process rating
D
48/100
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 · 8

✓ No critical or high findings

Medium and low: 8
  • low Secrets in code secret-high-entropy-token src/api.py:21
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    SALT_IOS = "IZPg…EXc"
    quoted
  • low Secrets in code secret-high-entropy-token src/api.py:23
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    SALT_WEB = "DlOU…owG"  # 网页端
    quoted
  • low Secrets in code secret-high-entropy-token src/api.py:24
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    SALT_X6 = "t0qE…r7v"  # 点赞/分享专用
    quoted
  • low Secrets in code secret-high-entropy-token src/api.py:25
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    SALT_APP = "b0Eo…lex"  # App 端
    quoted
  • low Secrets in code secret-high-entropy-token src/qr_login.py:75
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    def _generate_ds(salt: str = "IZPg…EXc",
    quoted
  • low Secrets in code secret-high-entropy-token src/sms_login.py:146
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    DS_SALT_CN_SIGNIN = "LyD1…3aO"
    quoted
  • low Secrets in code secret-high-entropy-token src/sms_login.py:147
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    DS_SALT_CN_PASSPORT = "JwYD…XoS"
    quoted
  • low Secrets in code secret-high-entropy-token src/sms_login.py:148
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    DS_SALT_X4 = "xV8v…afs"
    quoted

Files scanned: 11. 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 48/100

  • 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
  • 20When it triggers. No condition that starts the skill
  • 60Tools and files. Uses tools (python) that frontmatter does not declare
  • 100Steps. 8 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 684 tokens
  • 100Running it twice. No mutating operations
  • 100Progress reporting. Reports progress

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 140: enough signal without eating the budget
  • +4Structure: 15 headings
  • +3Step-by-step instructions: 8 items
  • +4Has examples (6 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.

External checks

ClawHub: suspicious
The skill matches its advertised MiHoYo automation purpose, but it handles reusable account cookies, automated redemptions, cross-platform account sharing, proxy-based rate-limit bypass, and logs in ways users should review carefully.
LLM: suspicious (medium) · VirusTotal: · 29 May 2026