SKILLEMALL.ai
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BC signet-guardian

Payment guard middleware for AI agents. Use whenever any skill is about to initiate a payment. Runs a preflight check against the user's policy (payments enabled, per-transaction limit, monthly cap). Returns ALLOW, DENY, or CONFIRM_REQUIRED. Other payment-capable skills must call signet-preflight before proceeding and signet-record after a successful payment.

modbender/skill-library-mcp Agent Skills author: modbender MIT 10 files · 1 script body ≈ 1 861 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Payment guard middleware for AI agents.

As a process C 64/100 · Has gaps — weak spots: result and completion, inputs and preconditions

ProcedureAI and agentsData and analyticstype 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
88/100
safety, quality, tests
Safety 60%
95
Quality 40%
77
Run on models
none yet
Process rating
C
64/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Tools and files w 18
60
the three weakest of ten parameters · all ten

How to improve

    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 · 5

    ✓ No critical or high findings

    Medium and low: 5
    • low Secrets in code secret-high-entropy-token pnpm-lock.yaml:28
      High-entropy token-like string (may be an id, hash or a credential)
      resolution: {integrity: sha5…7pY+zoMV…h0x/Ptw8…8dg==}
    • low Secrets in code secret-high-entropy-token pnpm-lock.yaml:40
      High-entropy token-like string (may be an id, hash or a credential)
      resolution: {integrity: sha5…b00+Gxjx…zRc/oZwU…hzA==}
    • low Secrets in code secret-high-entropy-token pnpm-lock.yaml:58
      High-entropy token-like string (may be an id, hash or a credential)
      resolution: {integrity: sha512-vHk/hA7/1Ack…wbo+jaSh…Gtl+A5zq…HFg==}
    • low Secrets in code secret-high-entropy-token pnpm-lock.yaml:70
      High-entropy token-like string (may be an id, hash or a credential)
      resolution: {integrity: sha5…Dsc+j03S…0oA==}
    • low Secrets in code secret-high-entropy-token pnpm-lock.yaml:172
      High-entropy token-like string (may be an id, hash or a credential)
      resolution: {integrity: sha5…NS8+tHW7…WOF+PEzk…X4Q==}

    Files scanned: 10. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 64/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 60Tools and files. Uses tools (bash) that frontmatter does not declare
    • 70When it triggers. States when to use, but not when not to
    • 100Steps. 27 steps
    • 100Failures and branches. 4 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1861 tokens
    • 100Running it twice. Mutating operations check current state
    • 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
    • -41 reference files, but SKILL.md never points to them: the model will not open them
    • -31 of 1 scripts are never mentioned in SKILL.md
    • +1No license
    • +2Single-language instructions
    • +3Description length 361: enough signal without eating the budget
    • +4Structure: 11 headings
    • +3Step-by-step instructions: 27 items
    • +4Has examples (4 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.