SKILLEMALL.ai

AC structs-guild-stack

Deploys the Guild Stack (Docker Compose) for local PostgreSQL access to game state. Use when you need faster queries for combat automation, real-time threat detection, raid target scouting, fleet composition analysis, or galaxy-wide intelligence. Advanced/optional -- CLI works for basic gameplay, but PG access transforms what is possible.

ClawHub Agent Skills author: Josh McDougall v1.25.0 MIT-0 3 files body ≈ 4 914 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process C 59/100 · Has gaps — weak spots: result and completion, when it triggers, running it twice

GeneratorDockerPostgreSQLInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
81
Run on models
none yet
Process rating
C
59/100
Has gaps
Result and completion w 14
0
Progress reporting w 2
0
When it triggers w 12
20
the three weakest of ten parameters · all ten

How to improve

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

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "title"
    • note frontmatter-key unknown frontmatter key "meta_description"
    • note frontmatter-key unknown frontmatter key "level"
    • note frontmatter-key unknown frontmatter key "domain"

    Process rating: all ten parameters 59/100

    • 0Result and completion. Does not say what the result is
    • 0Progress reporting. Says nothing while it works
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 6 mutating operations with no state check
    • 60Tools and files. Uses tools (bash, git, node) that frontmatter does not declare
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 70Execution cost. Instruction body is 4914 tokens
    • 100Steps. 17 steps
    • 100Failures and branches. 2 branches, has a failure section
    • 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
    • +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 340: enough signal without eating the budget
    • +4Structure: 30 headings
    • +3Step-by-step instructions: 17 items
    • +4Has examples (24 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.

    External checks

    ClawHub: clean
    This skill is an advanced but clearly disclosed guide for running a local Docker-based game-state indexer, with appropriate cautions around persistent services and optional signing.
    LLM: benign (high) · VirusTotal: · 25 Aug 2026