SKILLEMALL.ai

AB local-poi-planner

Plan nearby places for dining, desserts, cafes, malls, and date spots using one local POI planning workflow. Best for queries like “附近有什么适合坐着聊天的咖啡店”, “帮我找地铁可达的甜品店”, or “规划一个适合约会的商场/餐厅”. Uses a single orchestrated flow: structured POI recall (Amap-first with OSM fallback) → anchor expansion → unified-search evidence → scoring → fallback to area-level recommendations when store-level data is weak.

ClawHub Agent Skills author: ccmxigua v0.1.3 MIT-0 17 files body ≈ 2 065 tokens Open the sourceclawhub.ai analyzed 2 d ago

Plan nearby places for dining, desserts, cafes, malls, and date spots using one local POI planning workflow.

As a process B 74/100 · Nearly there — weak spots: inputs and preconditions, progress reporting

ProcedureLearningtype and topics are labelled automatically from the skill text
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
99
Quality 40%
82
Run on models
none yet
Process rating
B
74/100
Nearly there
Inputs and preconditions w 11
0
Progress reporting w 2
0
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 · 1

    ✓ No critical or high findings

    Medium and low: 1
    • low Exfiltration exfil-webhook-url scripts/telegram_entities_demo.py:23
      Webhook / callback URL commonly used for exfiltration (verify the destination) (placeholder value)
      url = f"https://api.telegram.org/bot{BOT_TOKEN}/sendMessage"
      placeholder

    Files scanned: 17. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • warning frontmatter-yaml SKILL.md: the frontmatter is not valid YAML (YAML parse error: Nested mappings are not allowed in compact mappings at line 14, column 24: - unified-search/: Unified search skill (must be installed as sibling skill… ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value
    • note frontmatter-key unknown frontmatter key "files"
    • note edit-residue the text marks something as outdated (lines 97, 98, 100, 101, 104, 109): check that old rules are not kept next to new ones — the full check reads the text for contradictions

    Process rating: all ten parameters 74/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 60Tools and files. Uses tools (bash, web, python) that frontmatter does not declare
    • 60Result and completion. Output format stated, no completion criterion
    • 100Steps. 64 steps
    • 100When it triggers. States when to use and when not to
    • 100Failures and branches. 1 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2065 tokens
    • 100Running it twice. No mutating operations

    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

    • +4Description does not say when NOT to use the skill (false activations)
    • -37 of 9 scripts are never mentioned in SKILL.md
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 3 example trigger phrases
    • +3Description length 398: enough signal without eating the budget
    • +4Structure: 13 headings
    • +3Step-by-step instructions: 64 items
    • +3Output format is stated explicitly
    • +4Has examples (4 code blocks)
    • +4Reference files are cited in the instructions (2 of 3)

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

    External checks

    ClawHub: suspicious
    This is a coherent local place-planning skill, but it automatically derives and shares location data with external services in ways users should review before installing.
    LLM: suspicious (high) · 5 Jun 2026