AD dizhendongyi-climate
基于地动仪模型 v3.0 的轨道尺度气候变化推演技能。提供长期气候预测（10³–10⁵年轨道尺度，基于岁差-倾角-偏心率耦合+FEBE方程）、近期气候推演（叠加RCP/SSP情景至2100年）、极端事件预警（三阶前兆指标体系）、东亚季风预测与RCP情景对比、古气候回溯（10万年冰期模拟）及冰期推迟终极测试。激活关键词：气候预测、气候变化模型、轨道周期、米兰科维奇理论、冰期预测、长期气候推演、FEBE方程、古气候建模、地动仪模型、东亚季风、RCP情景。
As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
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: 13. 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 46/100
- 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
- 60Tools and files. Uses tools (bash, python) that frontmatter does not declare
- 100Steps. 33 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1370 tokens
- 100Running it twice. No mutating operations
- low 12 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
- -216 emoji in the instructions: noise for the model
- +2Single-language instructions
- +3Description length 227: enough signal without eating the budget
- +4Structure: 32 headings
- +3Step-by-step instructions: 33 items
- +4Has examples (10 code blocks)
- +4Reference files are cited in the instructions (4 of 4)
- +3All 5 scripts are documented
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 78.
External checks
ClawHub: clean
This is a local climate-modeling skill with some overstated scientific claims, but no evidence of hidden access, data theft, persistence, or destructive behavior.
LLM: benign (high) · VirusTotal: · 29 May 2026