SKILLEMALL.ai

BC schedule-manager

(macOS only) 通过 osascript 和 reminders-cli 管理 Apple Calendar 和 Reminders,遵循 GTD 方法论。Triggers on "schedule", "calendar", "reminders", "GTD", "todo". 触发场景:用户说「安排会议」「创建提醒」「查看日程」「规划下周」「添加待办」「今天要做什么」「周回顾」「记一下」「别忘了」时触发。

ClawHub Agent Skills author: Niracler v1.0.1 8 files · 2 scripts body ≈ 1 185 tokens Open the sourceclawhub.ai analyzed 2 d ago

As a process C 61/100 · Has gaps — weak spots: result and completion, consistency, progress reporting

IntegrationPersonal productivitytype and topics are labelled automatically from the skill text
JSON
Technical rating
B
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
73
Run on models
none yet
Process rating
C
61/100
Has gaps
Result and completion w 14
0
Progress reporting w 2
0
Consistency w 8
40
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: 8. 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 61/100

  • 0Result and completion. Does not say what the result is
  • 0Progress reporting. Says nothing while it works
  • 40Consistency. Frontmatter name (schedule-manager) differs from the folder (nini-schedule-manager)
  • 55Failures and branches. 1 branches
  • 60Tools and files. Uses tools (bash) 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. 16 steps
  • 100Execution cost. Instruction body is 1185 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

  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • -5TODO / placeholder text left in the skill
  • -32 of 2 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 3 example trigger phrases
  • +3Description length 212: enough signal without eating the budget
  • +4Structure: 24 headings
  • +3Step-by-step instructions: 16 items
  • +4Has examples (11 code blocks)
  • +4Reference files are cited in the instructions (4 of 4)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.

External checks

ClawHub: suspicious
The skill’s calendar and reminders features fit its purpose, but it teaches destructive and bulk changes to real personal data without consistent confirmation safeguards.
LLM: suspicious (high) · VirusTotal: · 29 May 2026