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CD morning-briefing

Generate personalized morning report with today's reminders, Notion tasks (undone), and vault storage. Use when user asks for morning briefing, daily summary, or "today's plan". Pulls from Apple Reminders (as calendar proxy) and Notion tasks DB (set NOTION_TASKS_DB or specify DB ID).

modbender/skill-library-mcp Agent Skills author: modbender MIT 4 files · 1 script body ≈ 1 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Generate personalized morning report with today's reminders, Notion tasks (undone), and vault storage.

As a process D 38/100 · Unfinished process — weak spots: steps, result and completion, when it triggers

GeneratorNotionData and analyticsWriting and documentsPersonal productivitytype 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
C
64/100
safety, quality, tests
Safety 60%
99
Quality 40%
11
Run on models
none yet
Process rating
D
38/100
Unfinished process
Steps w 15
0
Result and completion w 14
0
Inputs and preconditions w 11
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 · 1

    ✓ No critical or high findings

    Medium and low: 1
    • low Exfiltration net-credential-use scripts/generate-briefing.sh:1
      Credential used in a network call (verify the destination is the intended service) (code comment; the skill's own vendor host)
      #!/bin/bash\nset -e\n\ndate=${1:-$(date +%Y-%m-%d)}\nnotion_db=${NOTION_TASKS_DB:-}\n\ncat << EOF\n📅 Morning Briefing for ${date}\n\n⏰ REMINDERS (Today)\nEOF\n\nremindctl today --plain | awk -F
      commentvendor-host

    Files scanned: 4. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • error body-empty SKILL.md: empty instructions body

    Process rating: all ten parameters 38/100

    • 0Steps. Prose only: no discrete steps
    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Failures and branches. Linear process with no failure handling
    • 0Progress reporting. Says nothing while it works
    • 20When it triggers. No condition that starts the skill
    • 100Tools and files. No external tools needed
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1 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

    • +5Description has no quoted example phrases that should trigger the skill
    • +4Description does not say when NOT to use the skill (false activations)
    • +4Structure: 0 headings, hard to scan
    • +3No numbered steps or checklist
    • +3Output format is not stated: the model decides each time
    • +4No input/output examples
    • -15SKILL.md body under 300 characters: nearly empty
    • -41 reference files, but SKILL.md never points to them: the model will not open them
    • -31 of 1 scripts are never mentioned in SKILL.md
    • +1No license
    • +2Single-language instructions
    • +3Description length 294: enough signal without eating the budget

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 11.