AF cmmi-cert-assistant
CMMI V3.0 Certification Assistant — Helps PM and EPG teams efficiently pass CMMI certification. Core capabilities: ① Upload project documents → auto-match CMMI V3.0 Practice Areas (PA); ② Gap analysis (what evidence is still missing); ③ Document conversion (output compliant documents matching CMMI templates). Trigger words: CMMI certification, PA matching, gap analysis, document conversion, appraisal preparation, practice area query. CMMI V3.0 认证助手 — 帮助PM和EPG团队高效通过CMMI认证。 核心能力：① 上传项目文档 → 自动匹配CMMI V3.0实践域（PA）； ② 差距分析（还缺什么证据）；③ 文档转换（输出符合CMMI模板的合规文档）。 触发词：CMMI认证、PA匹配、差距分析、文档转换、评估准备、实践域查询。
CMMI V3.0 Certification Assistant — Helps PM and EPG teams efficiently pass CMMI certification. Core capabilities: ① Upload project documents → auto-match…
As a process F 31/100 · Will not run — References files that are not bundled: references/PA_knowledge/[PA缩写].md
How to improve
- The text references files that are not there: add them or drop the references.
- 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: 36. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
missing-refreference to a missing file: references/PA_knowledge/[PA缩写].md
Process rating: all ten parameters 31/100
- 0Tools and files. 1 referenced file(s) missing: references/PA_knowledge/[PA缩写].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
- 40Consistency. Frontmatter name (cmmi-cert-assistant) differs from the folder (cmmi-cert-assistant-skill)
- 100Steps. 42 steps
- 100Execution cost. Instruction body is 1570 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)
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +3Description length 592: enough signal without eating the budget
- +4Structure: 30 headings
- +3Step-by-step instructions: 42 items
- +4Has examples (5 code blocks)
- +3All 1 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.