SKILLEMALL.ai

AF vibesurf

Use when user asks to browse websites, automate browser tasks, fill forms, extract webpage data, search web information, or interact with external apps. This is the main entry point that delegates to detailed reference guides.

modbender/skill-library-mcp Agent Skills author: modbender MIT 21 files body ≈ 3 643 tokens Open the sourcegithub.com analyzed 2 d ago

This is the main entry point that delegates to detailed reference guides.

As a process F 43/100 · Will not run — References files that are not bundled: references/*.md

ProcedureGmailGitHubAI and agentsWriting and documentsMarketingtype and topics are labelled automatically from the skill text
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
79
Run on models
none yet
Process rating
F
43/100
Will not run
References files that are not bundled: references/*.md
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

  1. The text references files that are not there: add them or drop the references.
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: 21. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: references/*.md
  • note frontmatter-key unknown frontmatter key "homepage"

Process rating: all ten parameters 43/100

Will not run. References files that are not bundled: references/*.md
  • 0Tools and files. 1 referenced file(s) missing: references/*.md
  • 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
  • 85Steps. 5 steps, 2 vague phrases
  • 100Failures and branches. 1 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 3643 tokens
  • 100Running it twice. Mutating operations check current state
  • 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)
  • +3Output format is not stated: the model decides each time
  • -2localhost URLs: will not work for another user
  • +1No license
  • +2Single-language instructions
  • +3Description length 226: enough signal without eating the budget
  • +4Structure: 15 headings
  • +3Step-by-step instructions: 5 items
  • +4Has examples (7 code blocks)
  • +4Reference files are cited in the instructions (20 of 20)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 79.