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AC clinic-activity-report

Generate a plain-English weekly CLINIC ACTIVITY REPORT for a veterinary clinic owner from NxVET data — total recordings, per-device and per-day/hour breakdown, week-over-week trend, and health flags (silent devices, out-of-date firmware, failing webhooks). Read-only and local; nothing is sent or changed. Use when a clinic owner/manager wants a recurring "how's the clinic doing" summary.

ClawHub Agent Skills author: Tal Nir v1.0.0 MIT-0 8 files body ≈ 1 622 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

Generate a plain-English weekly CLINIC ACTIVITY REPORT for a veterinary clinic owner from NxVET data — total recordings, per-device and per-day/hour…

As a process C 59/100 · Has gaps — weak spots: result and completion, when it triggers, failures and branches

GeneratorData 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
A
96/100
safety, quality, tests
Safety 60%
100
Quality 40%
91
Run on models
none yet
Process rating
C
59/100
Has gaps
Failures and branches w 10
0
When it triggers w 12
20
Running it twice w 4
30
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: 8. 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 59/100

    • 0Failures and branches. Linear process with no failure handling
    • 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
    • 60Tools and files. Uses tools (web, python) that frontmatter does not declare
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Steps. 26 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1622 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 389: enough signal without eating the budget
    • +4Structure: 12 headings
    • +3Step-by-step instructions: 26 items
    • +4Has examples (2 code blocks)
    • +4Reference files are cited in the instructions (4 of 4)
    • +3All 2 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 91.

    External checks

    ClawHub: clean
    This skill builds a local read-only veterinary clinic report from NxVET data, with disclosed API-key use, network calls, local reports, and optional scheduling.
    LLM: benign (high) · VirusTotal: · 24 Jul 2026