BC iso9001-qms
ISO 9001:2015 Quality Management System implementation, internal audit, and CAPA management. Use when implementing a QMS from scratch, conducting gap assessment against ISO 9001:2015 clauses 4–10, planning or executing internal audits, managing nonconformities, or running CAPA investigations (5-Why, fishbone, root cause analysis, effectiveness verification). Suitable for any industry — manufacturing, services, energy, construction.
ISO 9001:2015 Quality Management System implementation, internal audit, and CAPA management.
As a process C 58/100 · Has gaps — weak spots: result and completion, when it triggers, failures and branches
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: 2. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- note
edit-residuethe text marks something as outdated (lines 175): check that old rules are not kept next to new ones — the full check reads the text for contradictions
Process rating: all ten parameters 58/100
- 0Result and completion. Does not say what the result is
- 0Failures and branches. Linear process with no failure handling
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 4 mutating operations with no state check
- 70Inputs and preconditions. Inputs and preconditions are listed
- 100Tools and files. No external tools needed
- 100Steps. 94 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 3324 tokens
- 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
- +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 435: enough signal without eating the budget
- +4Structure: 34 headings
- +3Step-by-step instructions: 94 items
- +4Has examples (5 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.