SKILLEMALL.ai

CC golive

Take an agent-written app from repo to live production on the user's OWN accounts, with providers they choose (hosting, database, auth, payments, email, domain/DNS). The human connects accounts and approves changes; supported wiring operations run through a local CLI and produce verification evidence with explicit limits. Use when the user wants to ship, deploy, go live, launch, publish, or put their app online, or asks to wire up env vars, webhooks, auth settings (signup, email confirmation, password policy), a real signup → confirmation email → login journey, password recovery, account isolation between two users, auth redirects, email DNS or a custom domain.

ClawHub Agent Skills author: mikehasa v0.1.0-alpha.9 MIT-0 23 files · 2 scripts body ≈ 12 583 tokens Open the sourceclawhub.ai↗ analyzed 5 d ago

Take an agent-written app from repo to live production on the user's OWN accounts, with providers they choose (hosting, database, auth, payments, email…

As a process C 67/100 · Has gaps — References files that are not bundled: references/<provider>.md

IntegrationSupabaseStripeInfrastructureAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
C
87/100
safety, quality, tests
Safety 60%
99
Quality 40%
70
Run on models
none yet
Process rating
C
67/100
Has gaps
References files that are not bundled: references/<provider>.md
Tools and files w 18
0
Result and completion w 14
40
Execution cost w 6
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.
  2. 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 · 1

✓ No critical or high findings

Medium and low: 1
  • low Dangerous commands cmd-pipe-to-shell-known-host references/godaddy.md:16
    Pipe-to-shell installer from a well-known host (still executes remote code) (quoted — discussed, not commanded)
    `curl -fsSL https://github.com/godaddy/cli/releases/latest/download/install.sh | bash` — and the
    quoted

Files scanned: 23. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 12583 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: references/<provider>.md

Process rating: all ten parameters 67/100

Will not run. References files that are not bundled: references/<provider>.md
  • 0Tools and files. 1 referenced file(s) missing: references/<provider>.md
  • 40Result and completion. Does not say what the result is
  • 40Execution cost. Instruction body is 12583 tokens: crowds the task out of the window
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 49 steps
  • 100When it triggers. States when to use and when not to
  • 100Failures and branches. 1 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Running it twice. Mutating operations check current state
  • 100Progress reporting. Reports progress
  • 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 (11 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
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • -32 of 2 scripts are never mentioned in SKILL.md
  • +2Single-language instructions
  • +3Description length 669: enough signal without eating the budget
  • +4Structure: 16 headings
  • +3Step-by-step instructions: 49 items
  • +4Has examples (2 code blocks)
  • +4Reference files are cited in the instructions (7 of 16)
  • +1License stated

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

External checks

ClawHub: clean
This is a powerful but coherent deployment skill that clearly discloses its cloud-account access, credential handling, approval gates, and local state use.
LLM: benign (high) · VirusTotal: · 11 Oct 2026