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BC clink-integ-skills

Design, scaffold, validate, and review ClinkBill/Clink payment integrations, including clink-integ-cli usage, local clink login Secret Key bootstrap, browserless manual Secret Key setup, webhook endpoint automation, product/price/subscription catalog import, checkout and subscription APIs, webhook signature verification, sandbox validation, new user onboarding, merchant skill integrations, and documentation-backed contracts.

ClawHub Agent Skills author: Clink v2.0.0 MIT-0 78 files body ≈ 4 924 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

Design, scaffold, validate, and review ClinkBill/Clink payment integrations, including clink-integ-cli usage, local clink login Secret Key bootstrap…

As a process C 58/100 · Has gaps — weak spots: result and completion, inputs and preconditions, running it twice

IntegrationGitHubPlaywrightWriting and documentsAI and agentsCommercetype 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
83/100
safety, quality, tests
Safety 60%
93
Quality 40%
69
Run on models
none yet
Process rating
C
58/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
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 · 3

✓ No critical or high findings

Medium and low: 3
  • medium Exfiltration net-redirectable-api-key tests/run_llm_skill_tests.mjs:20
    Helper sends the API key to a host configured by an environment variable — the key can be redirected to another server
    API key + configurable base URL from environment
  • low Obfuscation obf-base64-blob scripts/verify_cli_bundle.mjs:201
    Long base64-looking blob (quoted — discussed, not commanded)
    "iVBO…mP8/x8AAwMCAO+/p9sA…YII=",
    quoted
  • low Exfiltration net-credential-use vendor/clink-integ-cli/clink-integ-cli.js:7710
    Credential used in a network call (verify the destination is the intended service) (quoted — discussed, not commanded)
    ': "${CLINK_WEBHOOK_SIGNING_KEY:?Set CLINK_WEBHOOK_SIGNING_KEY before running the webhook curl example}"',
    quoted

Files scanned: 40. 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 58/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 10 mutating operations with no state check
  • 60Tools and files. Uses tools (bash, node) that frontmatter does not declare
  • 70When it triggers. States when to use, but not when not to
  • 70Execution cost. Instruction body is 4924 tokens
  • 100Steps. 161 steps
  • 100Failures and branches. 2 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • low The response is described with custom markup (4 tags): a typed call is more reliable

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
  • +4No input/output examples
  • -34 of 9 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 428: enough signal without eating the budget
  • +4Structure: 12 headings
  • +3Step-by-step instructions: 161 items
  • +4Reference files are cited in the instructions (13 of 13)

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

External checks

ClawHub: suspicious
The skill is coherent for payment integration, but it handles and persists sensitive payment credentials and can run broad local/payment-side actions that deserve manual review before installation.
LLM: suspicious (high) · VirusTotal: · 9 Jul 2026