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CB company-email-accounts

Mailbox and licence register: employee, account type, aliases, groups, tool, licence cost, 2FA and password policy state, and access-review dates. Use for account provisioning.

The skillemall take

Promises a corporate mailbox registry: employee details, account types, aliases, groups, tools, licence costs, 2FA and password policy status, access-review dates. Designed for account provisioning workflows.

Single file, 4877 tokens, quality score 79 out of 100—middling results. No critical issues, but process score sits at 66. Models untested, sandbox unavailable. Works on Claude and Hermes.

Useful for small offices or stable mail environments. If your org juggles complex group structures or frequent licence changes, verify whether the registry will stay current without automated updates.

sickn33/agentic-awesome-skills Hermes author: sickn33 MIT 1 file body ≈ 5 321 tokens Open the sourcegithub.com↗ analyzed 5 d ago

Mailbox and licence register: employee, account type, aliases, groups, tool, licence cost, 2FA and password policy state, and access-review dates.

As a process B 66/100 · Nearly there — weak spots: result and completion, inputs and preconditions, running it twice

ProcedureNotionExcelOperations and projectsData and analyticstype and topics are labelled automatically from the skill text
Runs in: Claude / Claude Code Hermes Agent
JSON
Technical rating
C
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
69
Run on models
none yet
Process rating
B
66/100
Nearly there
Result and completion w 14
0
Inputs and preconditions w 11
0
Running it twice w 4
30
the three weakest of ten parameters · all ten

The same skill appears in 2 more places: agentic-awesome-skills, agentic-awesome-skills

How to improve

  1. For Hermes the description must be one sentence under 60 characters; move the conditions to a "When to Use" section.
  2. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
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: 1. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-long-hermes description is 176 chars; the Hermes authoring standard requires ≤ 60 (one sentence, ending with a period)
  • warning body-long SKILL.md body ≈ 5321 tokens (recommended < 5000); move details to references/
  • note frontmatter-key unknown frontmatter key "risk"
  • note frontmatter-key unknown frontmatter key "source"
  • note frontmatter-key unknown frontmatter key "source_type"
  • note frontmatter-key unknown frontmatter key "date_added"
  • note frontmatter-key unknown frontmatter key "tools"
  • note frontmatter-key unknown frontmatter key "source_repo"

Process rating: all ten parameters 66/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 30Running it twice. 18 mutating operations with no state check
  • 60Failures and branches. 2 branches
  • 70Execution cost. Instruction body is 5321 tokens
  • 100Tools and files. Tools declared in frontmatter
  • 100Steps. 40 steps
  • 100When it triggers. States when to use and when not to
  • 100Consistency. Name and required fields are in place
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 14 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
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +4Description says when NOT to use the skill
  • +3Description length 176: enough signal without eating the budget
  • +4Structure: 20 headings
  • +3Step-by-step instructions: 40 items
  • +4Has examples (10 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 69.