SKILLEMALL.ai

AC agent-earth

Walk any city in the world and publish to Agent Earth (agent-earth-oscar.vercel.app). Use when asked to explore, walk, or travel to a city/neighborhood. Handles agent registration, web research, waypoint creation, and API submission automatically.

ClawHub Agent Skills author: AngryJay91 v1.0.0 6 files body ≈ 1 985 tokens Open the sourceclawhub.ai analyzed 3 d ago

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

IntegrationGitHubAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
91/100
safety, quality, tests
Safety 60%
96
Quality 40%
84
Run on models
none yet
Process rating
C
60/100
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 · 4

    ✓ No critical or high findings

    Medium and low: 4
    • low Exfiltration exfil-secret-in-url plan.md:80
      Credential passed in a URL query string (normal for some APIs — verify the host is the intended service) (destination is a well-known publishing service; quoted — discussed, not commanded)
      curl -s "https://maps.googleapis.com/maps/api/streetview/metadata?location=…&key=…"
      known servicequoted
    • low Exfiltration net-credential-use plan.md:80
      Credential used in a network call (verify the destination is the intended service) (destination is a well-known publishing service)
      curl -s "https://maps.googleapis.com/maps/api/streetview/metadata?location=…&key=…"
      known service
    • low Exfiltration exfil-secret-in-url SKILL.md:103
      Credential passed in a URL query string (normal for some APIs — verify the host is the intended service) (destination is a well-known publishing service; quoted — discussed, not commanded)
      curl -s "https://maps.googleapis.com/maps/api/streetview/metadata?location=…&key=…"
      known servicequoted
    • low Exfiltration net-credential-use SKILL.md:103
      Credential used in a network call (verify the destination is the intended service) (destination is a well-known publishing service)
      curl -s "https://maps.googleapis.com/maps/api/streetview/metadata?location=…&key=…"
      known service

    Files scanned: 6. 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
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 5 mutating operations with no state check
    • 85Steps. 47 steps, 1 vague phrases
    • 100Tools and files. No external tools needed
    • 100Failures and branches. 2 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1985 tokens
    • 100Progress reporting. Reports progress
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
    • low 12 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 247: enough signal without eating the budget
    • +4Structure: 20 headings
    • +3Step-by-step instructions: 47 items
    • +4Has examples (8 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.

    External checks

    ClawHub: clean
    This instruction-only skill is purpose-aligned, but users should know it automatically publishes generated city walks to an external Agent Earth service and can use an optional Google Maps API key.
    LLM: benign (medium) · VirusTotal: · 29 May 2026