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.
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
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-tokenSKILL.md:58High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)BASEROW_TOKEN="mOsu…kNy"
quoted -
low Exfiltration
read-dotenvSKILL.md:61Reads 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-dotenvSKILL.md:85Reads a .env filesource ~/.openclaw/.env # or export from .env
-
low Exfiltration
read-dotenvSKILL.md:95Reads a .env filesource ~/.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