SKILLEMALL.ai

AC garmin-coach-loop

Maintain one current 28-day running-and-strength direction from the latest available Garmin or Intervals.icu evidence. Use when the user asks to reassess a goal or plan, create or revise a hybrid week, decide what to do today, review planned versus actual training, or preview and deliver a selected workout. Trigger for requests such as 根據最新資料重新評估我的目標與課表, 月目標, 周計畫, 今天練什麼, 根據 Garmin 調整訓練, 每週複盤, 跑步和重訓怎麼排, 傳到 Garmin, 記錄今天的重訓, 臥推 65 公斤 4 組照做了, 記錄體重, 體重 72.5, 補一筆今天的跑步, 匯入我的 Garmin/Strava/Apple Health 歷史資料, 這是我的訓練紀錄匯出檔. Do not use it for medical diagnosis or device shopping.

ClawHub Agent Skills author: TING v1.4.6 MIT-0 3 files body ≈ 2 358 tokens Open the sourceclawhub.ai analyzed 64 min ago

Maintain one current 28-day running-and-strength direction from the latest available Garmin or Intervals.icu evidence. Use when the user asks to reassess a…

As a process C 58/100 · Has gaps — weak spots: result and completion, inputs and preconditions, consistency

AnalyzerData and analyticsAI and agentsSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
A
93/100
safety, quality, tests
Safety 60%
100
Quality 40%
83
Run on models
none yet
Process rating
C
58/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
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: 3. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "homepage"

    Process rating: all ten parameters 58/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 3 mutating operations with no state check
    • 40Consistency. Frontmatter name (garmin-coach-loop) differs from the folder (long-run-hybrid-coach)
    • 60Tools and files. Uses tools (web) that frontmatter does not declare
    • 100Steps. 16 steps
    • 100When it triggers. States when to use and when not to
    • 100Failures and branches. 1 branches, has a failure section
    • 100Execution cost. Instruction body is 2358 tokens
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

    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
    • +3Output format is not stated: the model decides each time
    • +4No input/output examples
    • +1No license
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +3Description length 574: enough signal without eating the budget
    • +4Structure: 4 headings
    • +3Step-by-step instructions: 16 items

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 83.

    External checks

    ClawHub: suspicious
    This training coach is purpose-aligned, but it needs Review because important tool behavior and guidance come from a mutable remote MCP service before it reads training data or changes calendars.
    LLM: suspicious (medium) · VirusTotal: · 13 Sept 2026