SKILLEMALL.ai

BD Twenty CRM OAuth Mastery Skill

You should use this skill when working on:

modbender/skill-library-mcp Agent Skills author: modbender MIT 2 files body ≈ 4 294 tokens Open the sourcegithub.com analyzed 2 d ago

You should use this skill when working on:

As a process D 35/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationGmailDockerSoftware developmentSales and CRMtype and topics are labelled automatically from the skill text
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
96
Quality 40%
76
Run on models
none yet
Process rating
D
35/100
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 README.md:133
      High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
      | `ses_…is4` | Frontend token fix | Backend source not compiled, cookie attributes |
      table
    • low Secrets in code secret-high-entropy-token README.md:134
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition; documentation table row)
      | `ses_…ywW` | Enrichment testing | Container networking, environment variables |
      detectortable
    • low Secrets in code secret-high-entropy-token README.md:135
      High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
      | `ses_…gfY` | OAuth 500 error RCA | Endpoint validation, error handling |
      table
    • low Secrets in code secret-high-entropy-token README.md:136
      High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
      | `ses_…6tn` | OAuth codebase exploration | Comprehensive file analysis |
      table

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

    Against the Agent Skills spec

    • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)

    Process rating: all ten parameters 35/100

    • 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
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 7 mutating operations with no state check
    • 40Consistency. Frontmatter name (Twenty CRM OAuth Mastery Skill) differs from the folder (twenty-oauth-mastery)
    • 60Tools and files. Uses tools (web) that frontmatter does not declare
    • 70Execution cost. Instruction body is 4294 tokens
    • 85Steps. 77 steps, 1 vague phrases

    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)
    • +3Description length 42: 120–800 characters recommended
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +4Structure: 29 headings
    • +3Step-by-step instructions: 77 items
    • +4Has examples (24 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.