SKILLEMALL.ai
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AC daily-rhythm

Automated daily planning and reflection system with morning briefs, wind-down prompts, sleep nudges, and weekly reviews. Use when the user wants to set up a structured daily routine, morning briefings, evening reflection prompts, or weekly planning sessions. Triggers include requests for daily schedules, morning briefs, wind-down routines, sleep reminders, weekly reviews, productivity systems, or daily planning automation.

modbender/skill-library-mcp Agent Skills author: modbender MIT 7 files · 1 script body ≈ 1 677 tokens Open the sourcegithub.com↗ analyzed 3 d ago

Automated daily planning and reflection system with morning briefs, wind-down prompts, sleep nudges, and weekly reviews.

As a process C 62/100 · Has gaps — weak spots: result and completion, running it twice, progress reporting

ProcedureStripeAI and agentsPersonal 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
A
94/100
safety, quality, tests
Safety 60%
96
Quality 40%
91
Run on models
none yet
Process rating
C
62/100
Has gaps
Result and completion w 14
0
Progress reporting w 2
0
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 · 4

    ✓ No critical or high findings

    Medium and low: 4
    • low Dangerous commands cmd-cron-mention references/CONFIGURATION.md:63
      Mentions editing / listing crontab
      crontab -e
    • low Dangerous commands cmd-cron-mention references/CONFIGURATION.md:192
      Mentions editing / listing crontab (quoted — discussed, not commanded)
      - Check cron is installed: `crontab -l`
      quoted
    • low Dangerous commands cmd-cron-mention SKILL.md:83
      Mentions editing / listing crontab
      crontab -e
    • low Dangerous commands cmd-cron-mention SKILL.md:212
      Mentions editing / listing crontab (quoted — discussed, not commanded)
      - Verify cron is installed: `crontab -l`
      quoted

    Files scanned: 7. 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 62/100

    • 0Result and completion. Does not say what the result is
    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 7 mutating operations with no state check
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (web, python) that frontmatter does not declare
    • 70When it triggers. States when to use, but not when not to
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Steps. 74 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1677 tokens
    • low 10 top-level sections: this looks like several domains in one skill

    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 426: enough signal without eating the budget
    • +4Structure: 30 headings
    • +3Step-by-step instructions: 74 items
    • +4Has examples (6 code blocks)
    • +4Reference files are cited in the instructions (1 of 1)
    • +3All 3 scripts are documented

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