SKILLEMALL.ai

BB DevOps

Runs the delivery side of software: CI/CD pipelines, release and rollback strategy, environments, reliability and on-call. Use when designing or fixing a pipeline, when builds are slow, flaky, or green locally and red in CI; when planning a deploy — rolling, blue-green, canary, feature flags — or rolling a release back; when promoting an artifact to production, standing up preview environments, or chasing drift; when a schema change, backfill, or DNS cutover must ship without downtime; when pipeline secrets, OIDC, or deploy permissions need hardening; when alerts are noisy, an SLO or error budget is missing, or burn-rate paging is wrong; for on-call, severities, postmortems, runbooks, and DORA metrics; when infrastructure drifts from code, or backups were never restored. Not for Kubernetes manifests (`k8s`), image builds (`docker`), HCL mechanics (`terraform`), one CI product's workflow-file dialect (`github-actions`, `gitlab`, `ci-cd`), or a single app's ship checklist (`deploy`).

ClawHub Agent Skills author: Iván v1.0.2 MIT-0 18 files body ≈ 7 801 tokens Open the sourceclawhub.ai analyzed 2 d ago

As a process B 79/100 · Nearly there — weak spots: inputs and preconditions, running it twice

ProcedureTerraformGitHubGitLabDockerInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
86/100
safety, quality, tests
Safety 60%
99
Quality 40%
66
Run on models
none yet
Process rating
B
79/100
Nearly there
Inputs and preconditions w 11
0
Running it twice w 4
30
Result and completion w 14
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 · 1

✓ No critical or high findings

Medium and low: 1
  • low Risky intent intent-offensive-security recovery.md:45
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
    - **3-2-1 as the baseline**: three copies, two media or storage classes, one off-site — and for ransomware, one immutable or otherwise not deletable by the credentials your systems hold.

Files scanned: 18. 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 ≈ 7801 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 79/100

  • 0Inputs and preconditions. Does not say what the process needs to start
  • 30Running it twice. 66 mutating operations with no state check
  • 60Result and completion. Output format stated, no completion criterion
  • 70Execution cost. Instruction body is 7801 tokens
  • 100Tools and files. No external tools needed
  • 100Steps. 45 steps
  • 100When it triggers. States when to use and when not to
  • 100Failures and branches. 4 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 14 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
  • +3Description length 996: 120–800 characters recommended
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +4Description says when NOT to use the skill
  • +4Structure: 14 headings
  • +3Step-by-step instructions: 45 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 coherent DevOps guidance, but it automatically reads and updates broad local operational notes, including contacts and spending records, without asking first.
LLM: suspicious (high) · VirusTotal: · 10 Sept 2026