SKILLEMALL.ai

BF Email Deliverability

Audit and improve email deliverability for ecommerce marketing by diagnosing spam folder issues, list hygiene problems, authentication gaps, and sending reputation issues.

ClawHub Hermes author: LeroyCreates v1.1.0 MIT-0 6 files body ≈ 5 182 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process F 42/100 · Will not run — References files that are not bundled: references/authentication-setup-guide.md, references/list-hygiene-guide.md, assets/quality-checklist.md

AnalyzerInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
76/100
safety, quality, tests
Safety 60%
100
Quality 40%
39
Run on models
none yet
Process rating
F
42/100
Will not run
References files that are not bundled: references/authentication-setup-guide.md, references/list-hygiene-guide.md, assets/quality-checklist.md
Tools and files w 18
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  2. For Hermes the description must be one sentence under 60 characters; move the conditions to a "When to Use" section.
  3. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
  4. The text references files that are not there: add them or drop the references.
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: 6. 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)
  • warning description-long-hermes description is 171 chars; the Hermes authoring standard requires ≤ 60 (one sentence, ending with a period)
  • warning description-no-when neither description nor a "## When to Use" section says when to use the skill
  • warning body-long SKILL.md body ≈ 5182 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: references/authentication-setup-guide.md
  • warning missing-ref reference to a missing file: references/list-hygiene-guide.md
  • warning missing-ref reference to a missing file: assets/quality-checklist.md

Process rating: all ten parameters 42/100

Will not run. References files that are not bundled: references/authentication-setup-guide.md, references/list-hygiene-guide.md, assets/quality-checklist.md
  • 0Tools and files. 3 referenced file(s) missing: references/authentication-setup-guide.md, references/list-hygiene-guide.md, assets/quality-checklist.md
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 46 mutating operations with no state check
  • 40Result and completion. Does not say what the result is
  • 40Consistency. Frontmatter name (Email Deliverability) differs from the folder (email-deliverability)
  • 70Execution cost. Instruction body is 5182 tokens
  • 100Steps. 111 steps
  • 100Failures and branches. 3 branches, has a failure section

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 171: enough signal without eating the budget
  • +4Structure: 16 headings
  • +3Step-by-step instructions: 111 items
  • +4Has examples (0 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 39.

External checks

ClawHub: clean
This is a text-only email deliverability audit guide, with expected privacy-sensitive handling of subscriber and domain data but no hidden code or automatic actions.
LLM: benign (high) · VirusTotal: · 29 May 2026