SKILLEMALL.ai

BC client-flow

Automated client onboarding and project lifecycle management. From a single message, creates Google Drive/Dropbox project folder structure, generates project brief, sends templated welcome email, schedules kickoff meeting on Google Calendar, sets up task board in Todoist/ClickUp/Linear/Asana/Notion, configures follow-up reminders, and maintains a master client registry with status tracking. Use this skill for: new client onboarding, project setup, client intake, welcome email, kickoff meeting scheduling, project kickoff, client management, project status dashboard, "new client [name]", "onboard [company]", "set up a project for [client]", "how are my projects doing", client portfolio overview, project lifecycle tracking, client communication templates, progress update emails, project closure workflow, freelancer project management, agency client management, or any request involving setting up and tracking client projects. One message replaces 30 minutes of manual setup across email, calendar, file storage, and task management tools.

ClawHub Agent Skills author: jzargona v1.0.1 MIT-0 3 files body ≈ 2 079 tokens Open the sourceclawhub.ai analyzed 2 d ago

As a process C 61/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

GeneratorGoogle DriveNotionAsanaClickUpPersonal productivitytype and topics are labelled automatically from the skill text
JSON
Technical rating
B
84/100
safety, quality, tests
Safety 60%
100
Quality 40%
61
Run on models
none yet
Process rating
C
61/100
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
This is a copy of a skill from another catalog; the rating counts the canonical one: client-flow (ClawHub)

How to improve

  1. Shorten the description to 1024 characters.
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

  • error description-long description is 1049 chars, limit 1024

Process rating: all ten parameters 61/100

  • 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
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 24 mutating operations with no state check
  • 100Tools and files. No external tools needed
  • 100Steps. 49 steps
  • 100Failures and branches. 9 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2079 tokens

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)
  • +3Description length 1048: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 4 example trigger phrases
  • +4Structure: 17 headings
  • +3Step-by-step instructions: 49 items
  • +4Has examples (6 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 61.

External checks

ClawHub: clean
This skill automates client onboarding with disclosed file, calendar, email, task, reminder, and registry actions, with no evidence of hidden or malicious behavior.
LLM: benign (high) · VirusTotal: · 1 Jul 2026