SKILLEMALL.ai

AD baserow

Work with Baserow tables/rows over the REST API for reads, inserts, and updates. Use when user asks to view or modify Baserow CRM/pipeline data.

ClawHub Agent Skills author: Eric Bone v1.0.0 2 files body ≈ 787 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process D 45/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationInfrastructureSales and CRMtype and topics are labelled automatically from the skill text
JSON
Technical rating
A
91/100
safety, quality, tests
Safety 60%
96
Quality 40%
84
Run on models
none yet
Process rating
D
45/100
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 · 4

    ✓ No critical or high findings

    Medium and low: 4
    • low Secrets in code secret-high-entropy-token SKILL.md:58
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      BASEROW_TOKEN="mOsu…kNy"
      quoted
    • low Exfiltration read-dotenv SKILL.md:61
      Reads a .env file (security demo / example; quoted — discussed, not commanded)
      If written by an agent (e.g. `write` tool), verify with `cat ~/.openclaw/.env` — literal `\n` breaks `export $(grep ...)` silently.
      demoquoted
    • low Exfiltration read-dotenv SKILL.md:85
      Reads a .env file
      source ~/.openclaw/.env  # or export from .env
    • low Exfiltration read-dotenv SKILL.md:95
      Reads a .env file
      source ~/.openclaw/.env

    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 45/100

    • 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
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 3 mutating operations with no state check
    • 60Tools and files. Uses tools (web, python) that frontmatter does not declare
    • 100Steps. 14 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 787 tokens
    • 100Progress reporting. Reports progress
    • 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
    • +1No license
    • +2Single-language instructions
    • +3Description length 144: enough signal without eating the budget
    • +4Structure: 12 headings
    • +3Step-by-step instructions: 14 items
    • +4Has examples (6 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.

    External checks

    ClawHub: suspicious
    This is a coherent Baserow CRM helper, but it includes a live-looking static API token and enables authenticated CRM writes, so users should review it before installing.
    LLM: suspicious (high) · VirusTotal: · 29 May 2026