SKILLEMALL.ai

CC playasia

Search and buy digital game codes, eShop cards, PSN vouchers from Play-Asia.com via HTTP or MCP. Three purchase methods — Wallet (instant), Lightning (instant), Bitcoin on-chain. No account needed for Bitcoin/Lightning.

ClawHub Agent Skills author: Tom v0.3.0 MIT-0 16 files · 1 script body ≈ 2 022 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process C 63/100 · Has gaps — weak spots: result and completion, when it triggers, running it twice

ProcedureSoftware developmentInfrastructureAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
C
70/100
safety, quality, tests
Safety 60%
70
Quality 40%
69
Run on models
none yet
Process rating
C
63/100
Has gaps
Result and completion w 14
0
When it triggers w 12
20
Running it twice w 4
30
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.

Exfiltration 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 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.

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 · 10

✓ No critical or high findings

Medium and low: 10
  • medium Exfiltration net-credential-use src/tools/account.ts:20
    Credential used in a network call (verify the destination is the intended service)
    const data = await platformFetch('account/balance', {}, process.env.PA_TOKEN!);
  • medium Exfiltration net-credential-use src/tools/account.ts:36
    Credential used in a network call (verify the destination is the intended service)
    const data = await platformFetch('account/transactions', params, process.env.PA_TOKEN!);
  • medium Exfiltration net-credential-use src/tools/account.ts:65
    Credential used in a network call (verify the destination is the intended service)
    const data = await platformFetch('account/orders', params, process.env.PA_TOKEN!);
  • medium Exfiltration net-credential-use src/tools/account.ts:74
    Credential used in a network call (verify the destination is the intended service)
    const data = await platformFetch('account/order', { oid: String(args.order_id) }, process.env.PA_TOKEN!);
  • medium Exfiltration net-credential-use src/tools/account.ts:95
    Credential used in a network call (verify the destination is the intended service)
    const data = await platformFetch('cs/submit', {}, process.env.PA_TOKEN!, 'POST', body);
  • low Secrets in code secret-high-entropy-token package-lock.json:29
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…ToE+vYgD…UJ8+N1Am3Mz4+xOBy…f4D+CpkA==",
    detector
  • low Secrets in code secret-high-entropy-token package-lock.json:233
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…mp4+hpaf…WbT//d20x…uaA/eGVw==",
    detector
  • low Secrets in code secret-high-entropy-token package-lock.json:369
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…HlP+kuwq…IXN/mDJIfGXvcMqCgYKekoQw==",
    detector
  • low Secrets in code secret-high-entropy-token package-lock.json:420
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…4A7+DKln…5u0+9Pq0…OyP+8Bsg==",
    detector
  • low Secrets in code secret-high-entropy-token package-lock.json:483
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…loF+i+flI8…PC6+pdqy…YWO+E2Nw==",
    detector

Files scanned: 16. 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")
  • note frontmatter-key unknown frontmatter key "kind"
  • note frontmatter-key unknown frontmatter key "visibility"
  • note frontmatter-key unknown frontmatter key "auth_required"
  • note frontmatter-key unknown frontmatter key "purpose"
  • note frontmatter-key unknown frontmatter key "cacheable"
  • note frontmatter-key unknown frontmatter key "homepage"

Process rating: all ten parameters 63/100

  • 0Result and completion. Does not say what the result is
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 2 mutating operations with no state check
  • 60Tools and files. Uses tools (bash, web, python, node) that frontmatter does not declare
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 27 steps
  • 100Failures and branches. 5 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2022 tokens
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 11 top-level sections: this looks like several domains in one skill

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 219: enough signal without eating the budget
  • +4Structure: 17 headings
  • +3Step-by-step instructions: 27 items
  • +4Has examples (9 code blocks)

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

External checks

ClawHub: suspicious
This Play-Asia skill is not malware, but it can let an AI spend wallet funds, retrieve purchased digital codes, and send support messages while some capability labels and safety disclosures are inconsistent.
LLM: suspicious (high) · VirusTotal: · 2 Jun 2026