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BC supermarket

Search grocery products, find store locations, add items to cart, and view profile across all Kroger-family stores — Kroger, Ralphs, Fred Meyer, Harris Teeter, King Soopers, Fry's, QFC, Mariano's, Pick 'n Save, Metro Market, and more. Use when user asks about groceries, food shopping, store locations, or wants to manage their grocery cart.

modbender/skill-library-mcp Agent Skills author: modbender MIT 40 files body ≈ 2 425 tokens Open the sourcegithub.com↗ analyzed 3 d ago

Search grocery products, find store locations, add items to cart, and view profile across all Kroger-family stores — Kroger, Ralphs, Fred Meyer, Harris…

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

ProcedureFirebaseGitHubInfrastructureWriting and documentstype 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
84/100
safety, quality, tests
Safety 60%
86
Quality 40%
82
Run on models
none yet
Process rating
C
58/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
When it triggers w 12
20
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 · 14

    ✓ No critical or high findings

    Medium and low: 14
    • low Secrets in code secret-high-entropy-token firebase/functions/package-lock.json:84
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
      "integrity": "sha5…GLw+xYSd…cqA==",
      detector
    • low Secrets in code secret-high-entropy-token firebase/functions/package-lock.json:327
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      "integrity": "sha5…ywo+qwL+oL8H…C1U+vRfLQDvw==",
      quoted
    • low Secrets in code secret-high-entropy-token firebase/functions/package-lock.json:344
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
      "integrity": "sha512-Yqfm+XDx0+Prh3…1yC+JWZ2…IL7+vK+Clp7…D7g==",
      detector
    • low Secrets in code secret-high-entropy-token firebase/functions/package-lock.json:358
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
      "integrity": "sha5…xZl+RoGR…fbT/ZgrF…0EA==",
      detector
    • low Secrets in code secret-high-entropy-token firebase/functions/package-lock.json:372
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
      "integrity": "sha5…3bJ+V0If…IXN+CL65…a4w==",
      detector
    • low Secrets in code secret-high-entropy-token internal/krogerapi/client_test.go:184
      High-entropy token-like string (may be an id, hash or a credential) (test fixture / example file)
      func Test…403(t *testing.T) {
      fixture
    • low Secrets in code secret-high-entropy-token internal/krogerapi/client_test.go:227
      High-entropy token-like string (may be an id, hash or a credential) (test fixture / example file)
      func Test…500(t *testing.T) {
      fixture
    • low Secrets in code secret-high-entropy-token openapi/authorization-openapi.json:309
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      "example": "zWrT…v1W"
      quoted
    • low Obfuscation obf-base64-blob openapi/authorization-openapi.json:329
      Long base64-looking blob (quoted — discussed, not commanded)
      "example": "eyJh…cms
      quoted
    • low Secrets in code secret-high-entropy-token openapi/authorization-openapi.json:339
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      "example": "FN20…mX8"
      quoted
    • low Obfuscation obf-base64-blob openapi/authorization-openapi.json:372
      Long base64-looking blob (quoted — discussed, not commanded)
      "example": "eyJh…cms
      quoted
    • low Secrets in code secret-high-entropy-token openapi/authorization-openapi.json:506
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      "example": "FN20…mX8"
      quoted
    • low Obfuscation obf-base64-blob openapi/authorization-openapi.json:521
      Long base64-looking blob (quoted — discussed, not commanded)
      "example": "eyJh…cms
      quoted
    • low Secrets in code secret-high-entropy-token openapi/authorization-openapi.json:531
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      "example": "FN20…mX8"
      quoted

    Files scanned: 40. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "read_when"
    • note frontmatter-key unknown frontmatter key "triggers"

    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
    • 20When it triggers. No condition that starts the skill
    • 60Tools and files. Uses tools (web) that frontmatter does not declare
    • 100Steps. 47 steps
    • 100Failures and branches. 3 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2425 tokens
    • 100Running it twice. Mutating operations check current state
    • 100Progress reporting. Reports progress
    • low 14 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 341: enough signal without eating the budget
    • +4Structure: 23 headings
    • +3Step-by-step instructions: 47 items
    • +4Has examples (14 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 82.