SKILLEMALL.ai

AC daily-briefing

Generates a warm, compact daily briefing with weather, calendar, reminders, birthdays, and important emails for cron or chat delivery.

ClawHub Agent Skills author: antgly v1.0.5 6 files · 2 scripts body ≈ 3 552 tokens Open the sourceclawhub.ai analyzed 3 d ago

Generates a warm, compact daily briefing with weather, calendar, reminders, birthdays, and important emails for cron or chat delivery.

As a process C 63/100 · Has gaps — weak spots: inputs and preconditions, running it twice, progress reporting

GeneratorAI and agentsPersonal productivitytype and topics are labelled automatically from the skill text
JSON
Technical rating
A
91/100
safety, quality, tests
Safety 60%
100
Quality 40%
78
Run on models
none yet
Process rating
C
63/100
Has gaps
Inputs and preconditions w 11
0
Progress reporting w 2
0
Running it twice w 4
30
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.
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")

Process rating: all ten parameters 63/100

  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 6 mutating operations with no state check
  • 50When it triggers. No condition that starts the skill
  • 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
  • 60Result and completion. Output format stated, no completion criterion
  • 85Steps. 86 steps, 2 vague phrases
  • 100Failures and branches. 2 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 3552 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)
  • +1No license
  • +2Single-language instructions
  • +3Description length 134: enough signal without eating the budget
  • +4Structure: 23 headings
  • +3Step-by-step instructions: 86 items
  • +3Output format is stated explicitly
  • +4Has examples (18 code blocks)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 78.

External checks

ClawHub: suspicious
This daily briefing skill is mostly clear about collecting personal briefing data, but it handles sensitive contacts, calendar, email, and credential data in unsafe local ways that need review before installation.
LLM: suspicious (high) · VirusTotal: suspicious · 10 Sept 2026