SKILLEMALL.ai

AF hitchhikers-guide

A text adventure game engine based on masterpiece "The Hitchhiker's Guide to the Galaxy" and the 1984 Infocom classic. Use when the user wants to play a joyful, humorous, and witty text adventure game into the universe of Douglas Adams.

ClawHub Agent Skills author: Ethan Nie v1.1.2 5 files body ≈ 599 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process F 43/100 · Will not run — References files that are not bundled: assets/GUIDE.md, assets/hitchhikers_save.json

ProcedureInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
91/100
safety, quality, tests
Safety 60%
100
Quality 40%
78
Run on models
none yet
Process rating
F
43/100
Will not run
References files that are not bundled: assets/GUIDE.md, assets/hitchhikers_save.json
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

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

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: assets/GUIDE.md
  • warning missing-ref reference to a missing file: assets/hitchhikers_save.json

Process rating: all ten parameters 43/100

Will not run. References files that are not bundled: assets/GUIDE.md, assets/hitchhikers_save.json
  • 0Tools and files. 2 referenced file(s) missing: assets/GUIDE.md, assets/hitchhikers_save.json
  • 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. 1 mutating operations with no state check
  • 65Failures and branches. 3 branches
  • 70When it triggers. States when to use, but not when not to
  • 85Steps. 22 steps, 1 vague phrases
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 599 tokens
  • low The response is described with custom markup (7 tags): a typed call is more reliable

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
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +3Description length 236: enough signal without eating the budget
  • +4Structure: 4 headings
  • +3Step-by-step instructions: 22 items
  • +4Reference files are cited in the instructions (1 of 1)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 78.

External checks

ClawHub: clean
This is a coherent local text-adventure skill that runs a small Python save manager and stores gameplay progress locally.
LLM: benign (high) · VirusTotal: suspicious · 28 May 2026