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Design and build cinematic, award-level web pages.

NousResearch/hermes-agent Hermes author: NousResearch MIT 27 files body ≈ 5 506 tokens Open the sourcegithub.com↗ analyzed 6 h ago

Design and build cinematic, award-level web pages.

As a process B 65/100 · Nearly there — weak spots: result and completion, running it twice, progress reporting

GeneratorPlaywrightSoftware developmentData and analyticsMarketingtype and topics are labelled automatically from the skill text
Runs in: Hermes Agent
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
79
Run on models
none yet
Process rating
B
65/100
Nearly there
Progress reporting w 2
0
Running it twice w 4
30
Result and completion w 14
40
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: 27. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 5506 tokens (recommended < 5000); move details to references/

Process rating: all ten parameters 65/100

  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 26 mutating operations with no state check
  • 40Result and completion. Does not say what the result is
  • 50When it triggers. No condition that starts the skill
  • 60Tools and files. Uses tools (bash, web, node) that frontmatter does not declare
  • 60Consistency. The Hermes dialect needs category and tags
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 70Execution cost. Instruction body is 5506 tokens
  • 100Steps. 56 steps
  • 100Failures and branches. 1 branches, has a failure section
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low The response is described with custom markup (3 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
  • +3Description length 50: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +4No input/output examples
  • +2Single-language instructions
  • +4Description says when NOT to use the skill
  • +4Structure: 18 headings
  • +3Step-by-step instructions: 56 items
  • +4Reference files are cited in the instructions (11 of 11)
  • +3All 8 scripts are documented
  • +1License stated

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