SKILLEMALL.ai

AC agent-zero

Interact with the AgentZero real estate listing tracker (local Rust/Axum backend at http://localhost:8000). Use when asked to add a property listing by URL, refresh an existing listing, or list search profiles/scenarios. AgentZero parses Redfin and REW.ca URLs; Zillow and Realtor.ca are blocked (saves stub only). When a listing is added via agent-suggest, the backend automatically triages it with Claude (assigns a search profile or skips it) — no manual profile selection needed. The Daily Email Scan workflow reads Redfin alert emails via himalaya (IMAP) and opens Gmail in the openclaw browser to extract listing URLs — explicit user consent and himalaya configuration are required before use. After any action, log a summary to agent_zero_logs/YYYY-MM-DD.md in the workspace.

ClawHub Agent Skills author: Yuchen v1.0.7 MIT-0 80 files body ≈ 1 947 tokens Open the sourceclawhub.ai analyzed 2 d ago

As a process C 60/100 · Has gaps — weak spots: result and completion, when it triggers

IntegrationGmailAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
93/100
safety, quality, tests
Safety 60%
100
Quality 40%
82
Run on models
none yet
Process rating
C
60/100
Has gaps
Result and completion w 14
0
When it triggers w 12
20
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 · 0

    ✓ No critical or high findings

    Files scanned: 80. 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 60/100

    • 0Result and completion. Does not say what the result is
    • 20When it triggers. No condition that starts the skill
    • 60Tools and files. Uses tools (bash) that frontmatter does not declare
    • 60Failures and branches. 2 branches
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 85Steps. 19 steps, 1 vague phrases
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1947 tokens
    • 100Running it twice. Mutating operations check current state
    • 100Progress reporting. Reports progress
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
    • low The response is described with custom markup (7 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
    • -2localhost URLs: will not work for another user
    • +1No license
    • +2Single-language instructions
    • +3Description length 782: enough signal without eating the budget
    • +4Structure: 9 headings
    • +3Step-by-step instructions: 19 items
    • +4Has examples (13 code blocks)

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

    External checks

    ClawHub: suspicious
    This is mostly a real-estate tracker, but it needs Review because it under-discloses sensitive browser/email behavior and includes anti-bot automation for sites it says are blocked.
    LLM: suspicious (high) · VirusTotal: · 29 May 2026