SKILLEMALL.ai
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BF cleaning-maintenance

Book cleanings and manage property maintenance. Schedule one-time or recurring cleanings, report and track maintenance issues, manage service professionals, check availability and pricing. For homeowners, office managers, and building managers. Includes CLI, MCP server, and REST API approaches.

ClawHub Agent Skills author: mchusma v1.0.0 MIT-0 6 files body ≈ 2 654 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

As a process F 50/100 · Will not run — References files that are not bundled: ../vacation-rental-management/SKILL.md

IntegrationAI and agentsInfrastructureData and analyticstype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
70
Run on models
none yet
Process rating
F
50/100
Will not run
References files that are not bundled: ../vacation-rental-management/SKILL.md
Tools and files w 18
0
Inputs and preconditions w 11
0
When it triggers w 12
20
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  2. The text references files that are not there: add them or drop the references.
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: 6. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • warning missing-ref reference to a missing file: ../vacation-rental-management/SKILL.md

Process rating: all ten parameters 50/100

Will not run. References files that are not bundled: ../vacation-rental-management/SKILL.md
  • 0Tools and files. 1 referenced file(s) missing: ../vacation-rental-management/SKILL.md
  • 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
  • 40Result and completion. Does not say what the result is
  • 100Steps. 17 steps
  • 100Failures and branches. 2 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2654 tokens
  • 100Progress reporting. Reports progress

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 295: enough signal without eating the budget
  • +4Structure: 19 headings
  • +3Step-by-step instructions: 17 items
  • +4Has examples (17 code blocks)
  • +4Reference files are cited in the instructions (3 of 4)

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

External checks

ClawHub: suspicious
This looks like a legitimate TIDY integration, but it needs Review because it can trigger real-world bookings, cancellations, repairs, and handle sensitive property and credential data without strong guardrails.
LLM: suspicious (high) · VirusTotal: · 29 May 2026