SKILLEMALL.ai

CC business-email-template

Business email template register: trigger, sender and recipient type, subject pattern, body structure, personalisation tokens and send checks. Use for repeatable outbound email.

The skillemall take

The skill offers a template for repetitive business emails: registers trigger, sender and recipient types, subject pattern, email body structure, personalization tokens, and pre-send checks. In practice — two files with 6,000 body tokens, no scripts.

Scores show quality at 73 and process at 58. No critical errors, but average code and documentation quality leave room for doubt. Models weren't tested, sandbox didn't run. Claude and Hermes support confirmed.

This is a working tool for those sending boilerplate emails who want standardization. Install it if you need template registration rather than full send automation.

sickn33/agentic-awesome-skills Hermes author: sickn33 MIT 2 files body ≈ 6 378 tokens Open the sourcegithub.com↗ analyzed 5 d ago

Business email template register: trigger, sender and recipient type, subject pattern, body structure, personalisation tokens and send checks.

As a process C 58/100 · Has gaps — weak spots: result and completion, inputs and preconditions, running it twice

TemplateNotionGmailAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
C
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
73
Run on models
none yet
Process rating
C
58/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
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: 2. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-long-hermes description is 177 chars; the Hermes authoring standard requires ≤ 60 (one sentence, ending with a period)
  • warning body-long SKILL.md body ≈ 6378 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 58/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 25 mutating operations with no state check
  • 50When it triggers. No condition that starts the skill
  • 55Failures and branches. 1 branches
  • 70Execution cost. Instruction body is 6378 tokens
  • 100Tools and files. Tools declared in frontmatter
  • 100Steps. 55 steps
  • 100Consistency. Name and required fields are in place
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 13 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 177: enough signal without eating the budget
  • +4Structure: 20 headings
  • +3Step-by-step instructions: 55 items
  • +4Has examples (14 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.