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BC proxybase

Purchase and manage SOCKS5 residential proxies via ProxyBase API with cryptocurrency payments. Supports order creation, payment polling, proxy delivery, bandwidth monitoring, IP rotation, and top-ups.

modbender/skill-library-mcp Agent Skills author: modbender MIT 14 files · 11 scripts body ≈ 2 770 tokens Open the sourcegithub.com↗ analyzed 3 d ago

Purchase and manage SOCKS5 residential proxies via ProxyBase API with cryptocurrency payments.

As a process C 56/100 · Has gaps — weak spots: result and completion, when it triggers, consistency

IntegrationSoftware developmentAI and agentstype 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
76/100
safety, quality, tests
Safety 60%
81
Quality 40%
69
Run on models
none yet
Process rating
C
56/100
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 · 7

✓ No critical or high findings

Medium and low: 7
  • medium Exfiltration net-credential-use README.md:83
    Credential used in a network call (verify the destination is the intended service)
    curl -s "$PROXYBASE_API_URL/packages" -H "X-API-Key: $PROXYBASE_API_KEY"
  • medium Exfiltration net-credential-use SKILL.md:58
    Credential used in a network call (verify the destination is the intended service)
    curl -s "$PROXYBASE_API_URL/packages" -H "X-API-Key: $PROXYBASE_API_KEY" | jq .
  • medium Exfiltration net-credential-use SKILL.md:71
    Credential used in a network call (verify the destination is the intended service)
    curl -s "$PROXYBASE_API_URL/currencies" -H "X-API-Key: $PROXYBASE_API_KEY" | jq .
  • low Secrets in code secret-password-literal test_security.sh:66
    Hard-coded password / key literal (may be an example) (test fixture / example file; quoted — discussed, not commanded)
    assert_pass "valid password: Pass.word!123" validate_safe_string "Pass.word!123" "password"
    fixturequoted

A further 3 matches are quotations in this security skill's documentation and are not counted as findings.

Files scanned: 14. 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 56/100

  • 0Result and completion. Does not say what the result is
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 10 mutating operations with no state check
  • 40Consistency. Frontmatter name (proxybase) differs from the folder (proxybase-openclaw-skill)
  • 60Tools and files. Uses tools (bash, web, python) that frontmatter does not declare
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 85Steps. 34 steps, 2 vague phrases
  • 100Failures and branches. 1 branches, has a failure section
  • 100Execution cost. Instruction body is 2770 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 10 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
  • -37 of 7 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 200: enough signal without eating the budget
  • +4Structure: 30 headings
  • +3Step-by-step instructions: 34 items
  • +4Has examples (25 code blocks)

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