SKILLEMALL.ai

AC Instacart

Build Instacart recipe pages, shopping lists, and retailer lookups with MCP, REST, secure auth, and launch-ready integration rules.

ClawHub Agent Skills author: Iván v1.0.0 10 files body ≈ 2 110 tokens Open the sourceclawhub.ai analyzed 4 d ago

As a process C 61/100 · Has gaps — weak spots: result and completion, when it triggers, running it twice

GeneratorAI and agentsInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
99
Quality 40%
76
Run on models
none yet
Process rating
C
61/100
Has gaps
Result and completion w 14
0
Progress reporting w 2
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 · 1

    ✓ No critical or high findings

    Medium and low: 1
    • low Exfiltration net-credential-use auth-playbook.md:7
      Credential used in a network call (verify the destination is the intended service) (documentation table row; documentation of a security skill; the skill's own vendor host)
      | Developer Platform REST | `Authorization: Bearer $INSTACART_API_KEY` | `https://connect.dev.instacart.tools` or `https://connect.instacart.com` | recipe pages, shopping list pages, nearby retailers 
      tablesecurity skillvendor-host

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

    Against the Agent Skills spec

    • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
    • note frontmatter-key unknown frontmatter key "slug"
    • note frontmatter-key unknown frontmatter key "homepage"
    • note frontmatter-key unknown frontmatter key "changelog"

    Process rating: all ten parameters 61/100

    • 0Result and completion. Does not say what the result is
    • 0Progress reporting. Says nothing while it works
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 9 mutating operations with no state check
    • 60Tools and files. Uses tools (web) that frontmatter does not declare
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Steps. 65 steps
    • 100Failures and branches. 3 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2110 tokens
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
    • low 13 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 131: enough signal without eating the budget
    • +4Structure: 20 headings
    • +3Step-by-step instructions: 65 items
    • +4Has examples (1 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.

    External checks

    ClawHub: clean
    This skill is a transparent Instacart integration guide that discloses its API key use, Instacart network calls, local notes, and page-creation behavior.
    LLM: benign (high) · VirusTotal: · 29 May 2026