SKILLEMALL.ai

AB fire-protection-narrative-report-drafter

Use this skill when a Fire Protection Engineer (PE/FPE), NICET-III/IV designer, code consultant, or AHJ reviewer needs to draft a permit-submittal fire protection narrative report. Covers NFPA 13/14/20/72/92/101 and IBC systems; produces a DRAFT report with hydraulic summary, AMME packets, deferred-submittals list, and PE sign-off block.

ClawHub Agent Skills author: devasher v0.1.1 MIT-0 4 files body ≈ 9 235 tokens Open the sourceclawhub.ai analyzed 2 d ago

As a process B 69/100 · Nearly there — weak spots: when it triggers, execution cost, running it twice

GeneratorData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
91/100
safety, quality, tests
Safety 60%
100
Quality 40%
77
Run on models
none yet
Process rating
B
69/100
Nearly there
Progress reporting w 2
0
When it triggers w 12
20
Running it twice w 4
30
the three weakest of ten parameters · all ten

How to improve

  1. 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: 4. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 9235 tokens (recommended < 5000); move details to references/

Process rating: all ten parameters 69/100

  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 11 mutating operations with no state check
  • 40Execution cost. Instruction body is 9235 tokens: crowds the task out of the window
  • 60Tools and files. Uses tools (bash) that frontmatter does not declare
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 70Failures and branches. 13 branches
  • 100Steps. 41 steps
  • 100Result and completion. Output format and completion criterion are stated
  • 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 11 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 339: enough signal without eating the budget
  • +4Structure: 29 headings
  • +3Step-by-step instructions: 41 items
  • +3Output format is stated explicitly
  • +4Has examples (9 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.

External checks

ClawHub: clean
This is a documentation-only drafting aid for fire-protection permit narratives, with clear limits that a licensed professional and AHJ must review the result.
LLM: benign (high) · VirusTotal: · 28 May 2026