SKILLEMALL.ai

AC supabase-vault

Replace OpenClaw's local file vault with Supabase Vault for AES-256 encrypted-at-rest secret storage. All API keys and auth tokens stored encrypted in Postgres via pgsodium/libsodium. Bootstrap credentials protected by OS keychain or machine-derived AES-256-GCM (zero external deps). Includes dashboard Integrations tab with connect/migrate/manage UI. Use when: (1) setting up Supabase Vault as the OpenClaw secrets backend, (2) migrating existing secrets from ~/.openclaw/secrets.json to Supabase, (3) managing or adding secrets from the dashboard.

ClawHub Agent Skills author: maverick-software v1.0.0 11 files body ≈ 1 354 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process C 56/100 · Has gaps — weak spots: result and completion, when it triggers, running it twice

IntegrationSupabasePostgreSQLData and analyticsSoftware developmentInfrastructuretype 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
C
56/100
Has gaps
Result and completion w 14
0
Progress reporting w 2
0
When it triggers w 12
20
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: 11. 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 56/100

    • 0Result and completion. Does not say what the result is
    • 0Progress reporting. Says nothing while it works
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 2 mutating operations with no state check
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Steps. 8 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1354 tokens
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

    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 4 scripts are never mentioned in SKILL.md
    • +2Single-language instructions
    • +3Description length 549: enough signal without eating the budget
    • +4Structure: 14 headings
    • +3Step-by-step instructions: 8 items
    • +4Has examples (10 code blocks)
    • +4Reference files are cited in the instructions (1 of 1)
    • +1License stated

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

    External checks

    ClawHub: suspicious
    This skill appears to manage and migrate secrets, but it under-explains highly privileged credential handling and can migrate secrets without enough confirmation.
    LLM: suspicious (medium) · VirusTotal: · 29 May 2026