AC harmful-algal-bloom-monitor
有害藻华监测 — 利用海色/水色遥感反射率监测湖海藻华范围、持续时间和风险等级。 支持 NDCI/FLH/BGI/ARI 多指数，含云/耀斑/浑浊/浅水质量控制、事件追踪、面积统计与预警报告。
有害藻华监测 — 利用海色/水色遥感反射率监测湖海藻华范围、持续时间和风险等级。 支持 NDCI/FLH/BGI/ARI 多指数，含云/耀斑/浑浊/浅水质量控制、事件追踪、面积统计与预警报告。
As a process C 63/100 · Has gaps — weak spots: inputs and preconditions, failures and branches, consistency
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: 6. 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 63/100
- 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
- 40Consistency. Frontmatter name (harmful-algal-bloom-monitor) differs from the folder (geoskill-harmful-algal-bloom-monitor)
- 60Result and completion. Output format stated, no completion criterion
- 70When it triggers. States when to use, but not when not to
- 100Tools and files. No external tools needed
- 100Steps. 22 steps
- 100Execution cost. Instruction body is 885 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 96: 120–800 characters recommended
- +2Single-language instructions
- +4Structure: 14 headings
- +3Step-by-step instructions: 22 items
- +3Output format is stated explicitly
- +4Has examples (2 code blocks)
- +3All 1 scripts are documented
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.
External checks
ClawHub: suspicious
The skill is not clearly malicious, but it can generate operational-looking algal bloom reports from synthetic data even when a user expects local or downloaded imagery to be analyzed.
LLM: suspicious (high) · 31 Jul 2026