SKILLEMALL.ai

BD grocery-checklist

Persistent pantry-backed grocery checklist for OpenClaw, intended for normal conversational use with Telegram shopping-list UI.

ClawHub Agent Skills author: Serdar Salim v1.1.3 MIT-0 11 files · 1 script body ≈ 409 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

TemplateTelegramInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
89/100
safety, quality, tests
Safety 60%
97
Quality 40%
77
Run on models
none yet
Process rating
D
46/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
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 · 3

    ✓ No critical or high findings

    Medium and low: 3
    • low Exfiltration exfil-webhook-url index.js:442
      Webhook / callback URL commonly used for exfiltration (verify the destination) (placeholder value)
      const result = await httpsPost(`https://api.telegram.org/bot${token}/${method}`, payload);
      placeholder
    • low Exfiltration exfil-webhook-url scripts/grocery.py:495
      Webhook / callback URL commonly used for exfiltration (verify the destination) (the skill's own vendor host; quoted — discussed, not commanded)
      req = request.Request(f"https://api.telegram.org/bot{token}/{method}", data=data, method="POST")
      vendor-hostquoted
    • low Exfiltration exfil-webhook-url scripts/telegram_bot.py:50
      Webhook / callback URL commonly used for exfiltration (verify the destination) (the skill's own vendor host; quoted — discussed, not commanded)
      req = request.Request(f"https://api.telegram.org/bot{token}/{method}", data=data, method="POST")
      vendor-hostquoted

    Files scanned: 11. 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 46/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Failures and branches. Linear process with no failure handling
    • 0Progress reporting. Says nothing while it works
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 1 mutating operations with no state check
    • 40Consistency. Frontmatter name (grocery-checklist) differs from the folder (grocery-assistant)
    • 100Tools and files. No external tools needed
    • 100Steps. 24 steps
    • 100Execution cost. Instruction body is 409 tokens

    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)
    • +4Structure: 1 headings, hard to scan
    • +3Output format is not stated: the model decides each time
    • -33 of 4 scripts are never mentioned in SKILL.md
    • +1No license
    • +2Single-language instructions
    • +3Description length 127: enough signal without eating the budget
    • +3Step-by-step instructions: 24 items
    • +4Has examples (2 code blocks)

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

    External checks

    ClawHub: suspicious
    This grocery checklist skill mostly matches its purpose, but it needs Review because it can send stored grocery data through a Telegram bot to fallback recipients and includes under-disclosed session-pruning tooling.
    LLM: suspicious (high) · VirusTotal: · 29 May 2026