SKILLEMALL.ai

AF browser-automation-ultra

Zero-token browser automation via Playwright scripts with CDP lock management and human-like interaction. Use when: (1) automating any browser-based workflow (publish, login, scrape, fill forms), (2) reducing token cost by converting browser-tool explorations into replayable scripts, (3) avoiding CDP port conflicts between OpenClaw browser and Playwright, (4) needing anti-detection/human-like mouse/keyboard behavior for platforms with bot detection. NOT for: simple URL fetches (use web_fetch instead), tasks that don't need a real browser session.

modbender/skill-library-mcp Agent Skills author: modbender MIT 12 files · 1 script body ≈ 1 928 tokens Open the sourcegithub.com analyzed 2 d ago

Zero-token browser automation via Playwright scripts with CDP lock management and human-like interaction.

As a process F 49/100 · Will not run — References files that are not bundled: scripts/browser/utils/, scripts/browser/, scripts/browser/<verb>-<target>.js

ProcedurePlaywrightSoftware 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
F
49/100
Will not run
References files that are not bundled: scripts/browser/utils/, scripts/browser/, scripts/browser/<verb>-<target>.js
Tools and files w 18
0
Result and completion w 14
0
Progress reporting w 2
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: 12. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: scripts/browser/utils/
  • warning missing-ref reference to a missing file: scripts/browser/
  • warning missing-ref reference to a missing file: scripts/browser/<verb>-<target>.js

Process rating: all ten parameters 49/100

Will not run. References files that are not bundled: scripts/browser/utils/, scripts/browser/, scripts/browser/<verb>-<target>.js
  • 0Tools and files. 3 referenced file(s) missing: scripts/browser/utils/, scripts/browser/, scripts/browser/<verb>-<target>.js
  • 0Result and completion. Does not say what the result is
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 8 mutating operations with no state check
  • 50When it triggers. No condition that starts the skill
  • 50Failures and branches. 0 branches, has a failure section
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 8 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1928 tokens
  • low 12 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (4 tags): a typed call is more reliable

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
  • +3Output format is not stated: the model decides each time
  • -2localhost URLs: will not work for another user
  • -31 of 2 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +4Description says when NOT to use the skill
  • +3Description length 552: enough signal without eating the budget
  • +4Structure: 17 headings
  • +3Step-by-step instructions: 8 items
  • +4Has examples (7 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)

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