SKILLEMALL.ai

BB YAML

Writes, debugs, and validates YAML that parses the same in every language and tool. Use when a file will not parse, when a value silently turns into a boolean, number, date or null (`no`, `on`, `1.0`, `0644`, `22:22`), when tabs, indentation, or a colon inside a string breaks a document, when a block scalar mangles a script or a PEM key, when anchors, aliases or `<<` merge keys do not survive a tool, when duplicate keys pick the wrong winner, when the same file loads in one parser and fails in another, when YAML has to be edited or generated in code without losing comments or key order, when untrusted YAML could execute code, or when writing Kubernetes, Helm, GitHub Actions, GitLab CI, Ansible, Compose, CloudFormation, OpenAPI or Home Assistant files. Covers yamllint, schema validation, yq, and semantic diffs. Not for JSON (`json`), TOML (`toml`), XML (`xml`), or Ansible playbook semantics (`ansible`).

ClawHub Agent Skills author: Iván v1.0.2 MIT-0 17 files body ≈ 6 464 tokens Open the sourceclawhub.ai analyzed 2 d ago

Writes, debugs, and validates YAML that parses the same in every language and tool.

As a process B 72/100 · Nearly there — weak spots: inputs and preconditions, running it twice

AnalyzerKubernetesGitHubGitLabInfrastructureSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
B
86/100
safety, quality, tests
Safety 60%
100
Quality 40%
66
Run on models
none yet
Process rating
B
72/100
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: 17. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
  • warning body-long SKILL.md body ≈ 6464 tokens (recommended < 5000); move details to references/
  • note frontmatter-key unknown frontmatter key "slug"
  • note frontmatter-key unknown frontmatter key "homepage"
  • note frontmatter-key unknown frontmatter key "changelog"

Process rating: all ten parameters 72/100

  • 0Inputs and preconditions. Does not say what the process needs to start
  • 30Running it twice. 7 mutating operations with no state check
  • 60Tools and files. Uses tools (bash, python) that frontmatter does not declare
  • 60Result and completion. Output format stated, no completion criterion
  • 70Execution cost. Instruction body is 6464 tokens
  • 100Steps. 43 steps
  • 100When it triggers. States when to use and when not to
  • 100Failures and branches. 2 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 12 top-level sections: this looks like several domains in one skill
  • high The skill tells the model to perform an irreversible action with no human approval

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 915: 120–800 characters recommended
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +4Description says when NOT to use the skill
  • +4Structure: 12 headings
  • +3Step-by-step instructions: 43 items
  • +3Output format is stated explicitly

Quality base 70; lint remarks subtract, signals add up to 100. Result: 66.

External checks

ClawHub: suspicious
The skill is a coherent YAML helper, but it automatically stores and reuses local project/device metadata across sessions and shared skill files without asking first.
LLM: suspicious (high) · VirusTotal: · 10 Sept 2026