AC propaymun-information-architecture
Design and review evidence-aware information architecture from ordinary product context. Use for IA discovery, semantic object/content models, taxonomy, labeling, navigation, search, permissions, governance, audits, and architecture decisions. Do not use for sitemap-only or user-flow-only requests.
As a process C 64/100 · Has gaps — weak spots: result and completion, inputs and preconditions, consistency
How to improve
- 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: 30. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
✓ No remarks against the Agent Skills spec
Process rating: all ten parameters 64/100
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 40Result and completion. Does not say what the result is
- 40Consistency. Frontmatter name (propaymun-information-architecture) differs from the folder (propaymun-information-architecture-skill)
- 50When it triggers. No condition that starts the skill
- 70Execution cost. Instruction body is 4411 tokens
- 85Steps. 87 steps, 1 vague phrases
- 100Tools and files. No external tools needed
- 100Failures and branches. 6 branches, has a failure section
- 100Running it twice. Mutating operations check current state
- 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
- +3Output format is not stated: the model decides each time
- +4No input/output examples
- -34 of 4 scripts are never mentioned in SKILL.md
- +2Single-language instructions
- +4Description says when NOT to use the skill
- +3Description length 299: enough signal without eating the budget
- +4Structure: 14 headings
- +3Step-by-step instructions: 87 items
- +4Reference files are cited in the instructions (10 of 10)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 86.