SKILLEMALL.ai

CD 狐表(Foxtable) 移动端开发

狐表(Foxtable)移动端开发完整文档,涵盖HTML入门、WeUI框架、微信接口、客户端类、JSON解析、异步编程、Web数据源等,完整保留多层导航结构

Not recommendedcritical or high security findings
ClawHub Agent Skills author: LGYS v2.0.5 MIT-0 19 files body ≈ 414 tokens Open the sourceclawhub.ai analyzed 2 d ago

狐表(Foxtable)移动端开发完整文档,涵盖HTML入门、WeUI框架、微信接口、客户端类、JSON解析、异步编程、Web数据源等,完整保留多层导航结构

As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
C
65/100
safety, quality, tests
Safety 60%
66
Quality 40%
63
Run on models
none yet
Process rating
D
49/100
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

What is at stake

The skill contains fragments that, in the wrong hands, cost money or data. Below: what the installer risks and what the author should do.

Exfiltration
If you install

The instructions or scripts send data out: environment variables, keys, file contents, chat history. You may never notice, because the agent performs the upload as "part of the task".

For the author

If the upload is not needed for the task, remove it: catalogs flag such skills and delist them. If it is needed, name the destination explicitly, say what leaves the machine, and give the user a switch.

Obfuscation 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 files contain invisible characters, encoded commands or comments hidden from readers but visible to the model. What you read differs from what the agent sees.

For the author

Remove invisible characters (they usually sneak in through copy-paste) and encoded strings: no catalog will pass them. Instructions for the model must be readable by a human too.

How to improve

  1. Address the high-severity findings: each costs 18 safety points. If one is a false positive, add the rule id to guard.allow in spec.yaml.
  2. 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 · 13

  • high Exfiltration intent-browser-credential-store skill-card.md:14
    Accesses a browser credential / cookie store
    Developers and agents use this skill to answer questions and produce implementation guidance for Foxtable mobile and Web development. It is most relevant for Foxtable projects involving WeUI pages, We
Medium and low: 12
  • medium Obfuscation obf-base64-blob references/09_微信接口.md:4769
    Long base64-looking blob
    gQGj…QEA
  • low Obfuscation obf-base64-blob references/07_客户端类.md:729
    Long base64-looking blob (quoted — discussed, not commanded)
    "1GDE…07A"
    quoted
  • low Obfuscation obf-base64-blob references/07_客户端类.md:902
    Long base64-looking blob (quoted — discussed, not commanded)
    "1GDE…07A"
    quoted
  • low Secrets in code secret-high-entropy-token references/09_微信接口.md:883
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    = "eHDd…z0k"
    quoted
  • low Secrets in code secret-high-entropy-token references/09_微信接口.md:944
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    = "eHDd…NoQ"
    quoted
  • low Secrets in code secret-high-entropy-token references/09_微信接口.md:1005
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    = "eHDd…oLM"
    quoted
  • low Secrets in code secret-high-entropy-token references/09_微信接口.md:1044
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    = "ofjt…fBI"
    quoted
  • low Secrets in code secret-high-entropy-token references/09_微信接口.md:1088
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    = "ofjt…fBI"
    quoted
  • low Obfuscation obf-base64-blob references/09_微信接口.md:4781
    Long base64-looking blob (quoted — discussed, not commanded)
    "gQGj…QEA"
    quoted
  • low Obfuscation obf-base64-blob references/09_微信接口.md:7211
    Long base64-looking blob (quoted — discussed, not commanded)
    "2UgI…8bg"
    quoted
  • low Obfuscation obf-base64-blob references/09_微信接口.md:7633
    Long base64-looking blob (quoted — discussed, not commanded)
    "2UgI…8bg"
    quoted
  • low Obfuscation obf-base64-blob references/09_微信接口.md:8822
    Long base64-looking blob (quoted — discussed, not commanded)
    "1GDE…07A"
    quoted

Files scanned: 19. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • note frontmatter-key unknown frontmatter key "read_when"

Process rating: all ten parameters 49/100

  • 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 (狐表(Foxtable) 移动端开发) differs from the folder (foxmobile-dev-doc)
  • 100Tools and files. No external tools needed
  • 100Steps. 4 steps
  • 100Execution cost. Instruction body is 414 tokens
  • 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 78: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +4Structure: 5 headings
  • +3Step-by-step instructions: 4 items
  • +4Reference files are cited in the instructions (17 of 17)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 63.

External checks

ClawHub: suspicious
This is a documentation-only Foxtable mobile development skill, but several examples could lead users to deploy exposed, weakly protected web services or mishandle credentials and sensitive data.
LLM: suspicious (high) · 21 Jul 2026