SKILLEMALL.ai

AD clickup

Enterprise-grade ClickUp project management integration with advanced reporting, multi-workspace support, and client/project tracking. Core capabilities: (1) Multi-workspace task management with automatic workspace switching, (2) Advanced analytics & reporting (task counts, assignee breakdowns, status/priority analysis, daily standup reports) with automatic subtask inclusion and pagination, (3) Client folder organization with project tracking, (4) Full CRUD operations for spaces, folders, lists, tasks, and custom fields, (5) Time tracking & timer management with billing support, (6) Document creation and page management (API v3), (7) Task dependencies, linking, and relationship mapping, (8) Sales pipeline tracking with prospect/project status, (9) Retainer & recurring billing management. Built for agencies managing multiple clients across complex workspace hierarchies.

ClawHub Agent Skills author: Dennis Layden v1.1.2 7 files body ≈ 3 118 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationClickUpData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
74
Run on models
none yet
Process rating
D
49/100
Unfinished process
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

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: 3. 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")
  • note frontmatter-key unknown frontmatter key "env"
  • note frontmatter-key unknown frontmatter key "dependencies"

Process rating: all ten parameters 49/100

  • 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. 33 mutating operations with no state check
  • 40Consistency. Frontmatter name (clickup) differs from the folder (clickup-skill)
  • 60Tools and files. Uses tools (python) that frontmatter does not declare
  • 100Steps. 66 steps
  • 100Failures and branches. 1 branches, has a failure section
  • 100Execution cost. Instruction body is 3118 tokens
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 11 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)
  • +3Description length 881: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +4Structure: 39 headings
  • +3Step-by-step instructions: 66 items
  • +4Has examples (24 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 74.

External checks

ClawHub: clean
This is a disclosed ClickUp API helper with broad account-changing powers, but the behavior matches its project-management purpose and shows no hidden or deceptive activity.
LLM: benign (high) · VirusTotal: benign · 10 Sept 2026