SKILLEMALL.ai

AD tidepool

Build and deploy any kind of web app without leaving the command line. This project is built for autonomous AI agents. Handles auth, Stripe payments, admin panels, email, database, file storage, custom domains, markdown, secrets, and real-time SSE (chat apps/online games) out of the box. Minimalist approach. Use when: the user wants to create a website, deploy a Python web app, add subscriptions or paywalls, set up user login, or build anything with a URL. Provides the tidepool CLI and tp.* runtime API. Deploys in seconds, scales to 10+ replicas. NOT for: non-web tasks, general Python scripting.

ClawHub Agent Skills author: greydanus v1.0.1 MIT-0 2 files body ≈ 1 047 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process D 47/100 · Unfinished process — weak spots: result and completion, inputs and preconditions, failures and branches

GeneratorStripeInfrastructureSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
A
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
86
Run on models
none yet
Process rating
D
47/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

    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: 2. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 47/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Failures and branches. Linear process with no failure handling
    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 10 mutating operations with no state check
    • 50When it triggers. No condition that starts the skill
    • 60Tools and files. Uses tools (bash, web, python) that frontmatter does not declare
    • 100Steps. 5 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1047 tokens

    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
    • +3Output format is not stated: the model decides each time
    • -2localhost URLs: will not work for another user
    • +1No license
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +3Description length 602: enough signal without eating the budget
    • +4Structure: 6 headings
    • +3Step-by-step instructions: 5 items
    • +4Has examples (5 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 86.

    External checks

    ClawHub: suspicious
    Tidepool appears to be a legitimate web-app deployment skill, but it gives agents production deployment, secret handling, and destructive sync powers without clear user-approval boundaries.
    LLM: suspicious (medium) · VirusTotal: · 29 May 2026