SKILLEMALL.ai

AB pipedrive

Pipedrive: Manage Pipedrive sales workflows: discover fields and users, search CRM records, create and update deals, persons, organizations, activities, products, leads, and notes, move records through pipelines and stages. Use when an agent needs pipedrive, capture and convert inbound leads, create and update deals contacts and organizations, move deals through pipeline stages, schedule follow up calls and log notes, convert lead, lead id, data through AgentPMT-hosted remote tool calls.

ClawHub Agent Skills author: AgentPMT v1.0.0 MIT-0 3 files body ≈ 5 653 tokens Open the sourceclawhub.ai analyzed 34 h ago

Pipedrive: Manage Pipedrive sales workflows: discover fields and users, search CRM records, create and update deals, persons, organizations, activities…

As a process B 68/100 · Nearly there — weak spots: inputs and preconditions, running it twice

ProcedureGoogle DriveAI and agentsInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
76
Run on models
none yet
Process rating
B
68/100
Nearly there
Inputs and preconditions w 11
0
Running it twice w 4
30
Tools and files w 18
60
the three weakest of ten parameters · all ten

How to improve

  1. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
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 body-long SKILL.md body ≈ 5653 tokens (recommended < 5000); move details to references/
  • note frontmatter-key unknown frontmatter key "homepage"

Process rating: all ten parameters 68/100

  • 0Inputs and preconditions. Does not say what the process needs to start
  • 30Running it twice. 59 mutating operations with no state check
  • 60Tools and files. Uses tools (web) that frontmatter does not declare
  • 60Result and completion. Output format stated, no completion criterion
  • 70When it triggers. States when to use, but not when not to
  • 70Execution cost. Instruction body is 5653 tokens
  • 100Steps. 100 steps
  • 100Failures and branches. 3 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 13 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 492: enough signal without eating the budget
  • +4Structure: 26 headings
  • +3Step-by-step instructions: 100 items
  • +3Output format is stated explicitly
  • +4Has examples (15 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.

External checks

ClawHub: suspicious
The skill appears to be a CRM integration, but it exposes persistent webhooks, file transfer, and delete actions that are broader and riskier than the stated workflow description.
LLM: suspicious (medium) · VirusTotal: · 24 Jun 2026