BC evolutionary-iteration
演化迭代技能，作为突变选择器，随机生成几个事物解决方案迭代循环，评估选择交叉变异引入，输出几个最优方案，选出一个最佳方案。6域30种任务。触发词：演化迭代、突变选择、迭代循环、方案进化、最优选择、meta-skill-system。
演化迭代技能，作为突变选择器，随机生成几个事物解决方案迭代循环，评估选择交叉变异引入，输出几个最优方案，选出一个最佳方案。6域30种任务。触发词：演化迭代、突变选择、迭代循环、方案进化、最优选择、meta-skill-system。
As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
Proceduretype and topics are labelled automatically from the skill text
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
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: 11. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when")
Process rating: all ten parameters 53/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 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
- 100Tools and files. No external tools needed
- 100Steps. 14 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 417 tokens
- 100Running it twice. No mutating operations
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)
- +3Description length 116: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +4Structure: 11 headings
- +3Step-by-step instructions: 14 items
- +4Has examples (1 code blocks)
- +4Reference files are cited in the instructions (3 of 3)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.
External checks
ClawHub: clean
This skill is a disclosed planning method for generating and selecting solution options, with no executable code or hidden data access.
LLM: benign (high) · VirusTotal: · 20 Jun 2026