SKILLEMALL.ai

AC marketing-plan

When the user needs a comprehensive marketing plan for a client, a company they advise, or their own product.

sickn33/agentic-awesome-skills Agent Skills author: sickn33 MIT 15 files body ≈ 5 093 tokens Open the sourcegithub.com analyzed 3 d ago

When the user needs a comprehensive marketing plan for a client, a company they advise, or their own product.

As a process C 60/100 · Has gaps — weak spots: inputs and preconditions, running it twice, progress reporting

AnalyzerNotionSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
75
Run on models
none yet
Process rating
C
60/100
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
This is a copy of a skill from another catalog; the rating counts the canonical one: marketing-plan (sickn33/agentic-awesome-skills)

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
  • 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: 14. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 5093 tokens (recommended < 5000); move details to references/
  • note frontmatter-key unknown frontmatter key "risk"
  • note frontmatter-key unknown frontmatter key "source"
  • note frontmatter-key unknown frontmatter key "source_repo"
  • note frontmatter-key unknown frontmatter key "source_type"
  • note frontmatter-key unknown frontmatter key "date_added"
  • note frontmatter-key unknown frontmatter key "license_source"

Process rating: all ten parameters 60/100

  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 7 mutating operations with no state check
  • 60Tools and files. Uses tools (bash) that frontmatter does not declare
  • 60Steps. 99 steps, 4 vague phrases
  • 60Result and completion. Output format stated, no completion criterion
  • 60Failures and branches. 2 branches
  • 70Execution cost. Instruction body is 5093 tokens
  • 100When it triggers. States when to use and when not to
  • 100Consistency. Name and required fields are in place
  • low 22 top-level sections: this looks like several domains in one skill
  • low No test case covers injection arriving through data

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
  • +3Description length 109: 120–800 characters recommended
  • -5TODO / placeholder text left in the skill
  • +2Single-language instructions
  • +4Description says when NOT to use the skill
  • +4Structure: 26 headings
  • +3Step-by-step instructions: 99 items
  • +3Output format is stated explicitly
  • +4Has examples (2 code blocks)
  • +4Reference files are cited in the instructions (11 of 13)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.