BF or-modeling
运筹优化数学建模辅助工具。当用户需要将实际问题转化为数学优化模型时使用，包括：(1) 输入运筹优化问题并要求建立数学模型；(2) 需要将文字描述转化为目标函数和约束条件；(3) 要求对问题进行数学公式化表述；(4) 需要验证或完善优化问题的数学模型；(5) 搜索相关学术论文了解研究现状。支持的场景：线性规划、整数规划、混合整数规划、非线性规划、动态规划、TSP/VRP等组合优化、网络流、选址问题、排队论、库存优化、供应链优化、随机规划、调度问题、博弈论、机制设计等。
As a process F 35/100 · Will not run — References files that are not bundled: references/advanced-models.md
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- The text references files that are not there: add them or drop the references.
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: 4. 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") - warning
missing-refreference to a missing file: references/advanced-models.md
Process rating: all ten parameters 35/100
Will not run. References files that are not bundled: references/advanced-models.md
- 0Tools and files. 1 referenced file(s) missing: references/advanced-models.md
- 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
- 100Steps. 8 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1848 tokens
- 100Running it twice. No mutating operations
- low 10 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 235: enough signal without eating the budget
- +4Structure: 20 headings
- +3Step-by-step instructions: 8 items
- +4Has examples (10 code blocks)
- +4Reference files are cited in the instructions (1 of 1)
- +3All 1 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.
External checks
ClawHub: clean
This is a coherent operations-research modeling skill with a disclosed academic paper-search helper, but users should avoid putting confidential details into search queries.
LLM: benign (high) · VirusTotal: · 29 May 2026