SKILLEMALL.ai

AB geotechnical-investigation-report-drafter

Use this skill when a geotechnical engineer or junior staff engineer needs to draft a subsurface investigation report for a building, infrastructure, or earthwork site. Guides field exploration logging, ASTM lab testing, ASCE 7 Site Class determination, and foundation/earthwork recommendations. Produces a DRAFT ten-section report with boring logs, lab data appendices, and an ASFE-style limitations statement for the Geotechnical Engineer of Record to verify, stamp, and seal.

ClawHub Agent Skills author: devasher v0.1.1 MIT-0 4 files body ≈ 5 705 tokens Open the sourceclawhub.ai analyzed 31 h ago

Guides field exploration logging, ASTM lab testing, ASCE 7 Site Class determination, and foundation/earthwork recommendations.

As a process B 73/100 · Nearly there — weak spots: inputs and preconditions, 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
73/100
Nearly there
Inputs and preconditions w 11
0
Running it twice w 4
30
When it triggers w 12
50
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 ≈ 5705 tokens (recommended < 5000); move details to references/

Process rating: all ten parameters 73/100

  • 0Inputs and preconditions. Does not say what the process needs to start
  • 30Running it twice. 6 mutating operations with no state check
  • 50When it triggers. No condition that starts the skill
  • 70Failures and branches. 6 branches
  • 70Execution cost. Instruction body is 5705 tokens
  • 85Steps. 77 steps, 2 vague phrases
  • 100Tools and files. No external tools needed
  • 100Result and completion. Output format and completion criterion are stated
  • 100Consistency. Name and required fields are in place
  • 100Progress reporting. Reports progress
  • low 10 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 478: enough signal without eating the budget
  • +4Structure: 29 headings
  • +3Step-by-step instructions: 77 items
  • +3Output format is stated explicitly
  • +4Has examples (3 code blocks)

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

External checks

ClawHub: clean
This is a markdown-only geotechnical report drafting skill with clear draft-only limits and no executable or hidden data-access behavior.
LLM: benign (high) · VirusTotal: · 28 May 2026