AC cs-math-research
Use this skill to write complete, formatted academic graduation research papers and projects for the College of Computer Science and Mathematics at Tikrit University. Trigger whenever the user asks to write, create, generate, or produce a BSc graduation project, research paper, or academic document in computer science, mathematics, networking, artificial intelligence, machine learning, robotics, or any related field — especially when they mention Tikrit University, كلية علوم الحاسوب, or need a Word (.docx) output following Iraqi university standards. Also trigger when they mention chapter structure, abstract, literature review, methodology, or results sections for a CS paper. Always use this skill even if the user only mentions one part (e.g., "write the abstract" or "write Chapter One") — apply the full structure and conventions defined here.
As a process C 55/100 · Has gaps — weak spots: result and completion, inputs and preconditions, 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: 4. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
✓ No remarks against the Agent Skills spec
Process rating: all ten parameters 55/100
- 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
- 40Consistency. Frontmatter name (cs-math-research) differs from the folder (research-tikrit)
- 70When it triggers. States when to use, but not when not to
- 100Tools and files. No external tools needed
- 100Steps. 95 steps
- 100Execution cost. Instruction body is 2745 tokens
- 100Running it twice. No mutating operations
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
- low 14 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
- +4Description does not say when NOT to use the skill (false activations)
- +3Description length 855: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +5Description quotes 2 example trigger phrases
- +4Structure: 27 headings
- +3Step-by-step instructions: 95 items
- +4Has examples (3 code blocks)
- +4Reference files are cited in the instructions (2 of 2)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 90.