SKILLEMALL.ai

AC brevo

Brevo (formerly Sendinblue) email marketing API for managing contacts, lists, sending transactional emails, and campaigns. Use when importing contacts, sending emails, managing subscriptions, or working with email automation.

modbender/skill-library-mcp Agent Skills author: modbender MIT 1 file body ≈ 1 659 tokens Open the sourcegithub.com analyzed 2 d ago

Brevo (formerly Sendinblue) email marketing API for managing contacts, lists, sending transactional emails, and campaigns.

As a process C 61/100 · Has gaps — weak spots: when it triggers, inputs and preconditions, failures and branches

IntegrationSoftware developmentMarketingtype and topics are labelled automatically from the skill text
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
96
Quality 40%
87
Run on models
none yet
Process rating
C
61/100
Has gaps
Inputs and preconditions w 11
0
Failures and branches w 10
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 · 4

    ✓ No critical or high findings

    Medium and low: 4
    • low Exfiltration net-credential-use SKILL.md:260
      Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host)
      curl "https://api.brevo.com/v3/contacts/lists/10" -H "api-key: $BREVO_KEY" | jq '.totalSubscribers'
      vendor-host
    • low Exfiltration net-credential-use SKILL.md:263
      Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host)
      curl "https://api.brevo.com/v3/contacts?limit=10&sort=desc" -H "api-key: $BREVO_KEY"
      vendor-host
    • low Exfiltration net-credential-use SKILL.md:266
      Credential used in a network call (verify the destination is the intended service) (security demo / example; the skill's own vendor host)
      curl "https://api.brevo.com/v3/contacts/us…@….com" -H "api-key: $BREVO_KEY"
      demovendor-host
    • low Exfiltration net-credential-use SKILL.md:269
      Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host)
      curl "https://api.brevo.com/v3/account" -H "api-key: $BREVO_KEY"
      vendor-host

    Files scanned: 1. 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 61/100

    • 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. 15 mutating operations with no state check
    • 60Result and completion. Output format stated, no completion criterion
    • 100Tools and files. No external tools needed
    • 100Steps. 10 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1659 tokens
    • 100Progress reporting. Reports progress
    • low 10 top-level sections: this looks like several domains in one skill

    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)
    • +1No license
    • +2Single-language instructions
    • +3Description length 225: enough signal without eating the budget
    • +4Structure: 21 headings
    • +3Step-by-step instructions: 10 items
    • +3Output format is stated explicitly
    • +4Has examples (13 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 87.