SKILLEMALL.ai

BF revdoku

Create, update, and publish websites with Revdoku buckets — including interactive app sites backed by a per-bucket server database (visitor submissions, voting/feedback dashboards, searchable support sites, owner notifications), not just static pages. Store files privately until the user asks for a public or protected link.

ClawHub Agent Skills author: Emi v0.1.0 MIT-0 3 files · 1 script body ≈ 8 715 tokens Open the sourceclawhub.ai analyzed 30 h ago

Create, update, and publish websites with Revdoku buckets — including interactive app sites backed by a per-bucket server database (visitor submissions…

As a process F 59/100 · Will not run — References files that are not bundled: assets/app.css, templates/app-safe-actions.json, templates/app-frontend-example/

GeneratorSoftware developmentData and analyticsAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
79/100
safety, quality, tests
Safety 60%
100
Quality 40%
47
Run on models
none yet
Process rating
F
59/100
Will not run
References files that are not bundled: assets/app.css, templates/app-safe-actions.json, templates/app-frontend-example/
Tools and files w 18
0
Result and completion w 14
0
Execution cost w 6
40
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  2. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
  3. 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: 3. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • warning body-long SKILL.md body ≈ 8715 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: assets/app.css
  • warning missing-ref reference to a missing file: templates/app-safe-actions.json
  • warning missing-ref reference to a missing file: templates/app-frontend-example/

Process rating: all ten parameters 59/100

Will not run. References files that are not bundled: assets/app.css, templates/app-safe-actions.json, templates/app-frontend-example/
  • 0Tools and files. 3 referenced file(s) missing: assets/app.css, templates/app-safe-actions.json, templates/app-frontend-example/
  • 0Result and completion. Does not say what the result is
  • 40Execution cost. Instruction body is 8715 tokens: crowds the task out of the window
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 85Steps. 95 steps, 1 vague phrases
  • 100When it triggers. States when to use and when not to
  • 100Failures and branches. 9 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
  • high The skill tells the model to perform an irreversible action with no human approval
  • low The response is described with custom markup (9 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
  • -31 of 1 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 325: enough signal without eating the budget
  • +4Structure: 11 headings
  • +3Step-by-step instructions: 95 items
  • +4Has examples (4 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 47.

External checks

ClawHub: suspicious
This Revdoku publishing skill is mostly coherent, but it should be reviewed because it can publish local folders live, reuse saved credentials, and its helper can download and execute an unpinned CLI.
LLM: suspicious (high) · VirusTotal: · 23 Jun 2026