SKILLEMALL.ai

AC construction-law

FIDIC (Red/Yellow/Silver), PSSCOC, SIA, and Singapore SOP Act toolkit. Generate notices, claims, EOT applications, and obligations registers. Computes statutory deadlines against eGazette-verified holiday data. Use when (1) analysing contract clauses, risk allocation, or obligations; (2) preparing or reviewing claims (delay, disruption, prolongation, EOT, loss & expense); (3) comparing contract forms or advising on procurement strategy; (4) drafting or reviewing notices, correspondence, or contract documents; (5) building obligations registers or notice calendars; (6) discussing dispute resolution (DAB/DAAB, adjudication, arbitration, mediation, CAB); (7) Singapore-specific construction law (SOP Act, BCA, SIArb); (8) MDB procurement frameworks (ADB, World Bank). NOT for: non-construction commercial contracts, pure property/real-estate conveyancing, or insurance law.

ClawHub Agent Skills author: redkiwi1688-prog v2.11.5 MIT-0 41 files · 1 script body ≈ 7 665 tokens Open the sourceclawhub.ai analyzed 2 d ago

As a process C 52/100 · Has gaps — weak spots: result and completion, inputs and preconditions, running it twice

AnalyzerInfrastructureLegalPersonal productivitytype and topics are labelled automatically from the skill text
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
74
Run on models
none yet
Process rating
C
52/100
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

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

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 7665 tokens (recommended < 5000); move details to references/

Process rating: all ten parameters 52/100

  • 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. 7 mutating operations with no state check
  • 50When it triggers. No condition that starts the skill
  • 60Tools and files. Uses tools (bash, web, python) that frontmatter does not declare
  • 65Failures and branches. 3 branches
  • 70Execution cost. Instruction body is 7665 tokens
  • 100Steps. 189 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 20 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
  • +3Description length 878: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • -220 emoji in the instructions: noise for the model
  • -31 of 13 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +4Description says when NOT to use the skill
  • +4Structure: 58 headings
  • +3Step-by-step instructions: 189 items
  • +4Has examples (18 code blocks)
  • +4Reference files are cited in the instructions (6 of 7)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 74.

External checks

ClawHub: clean
This is a coherent offline construction-law toolkit whose file writes are explicit, user-directed report/export features rather than hidden persistence.
LLM: benign (high) · VirusTotal: · 29 May 2026