Content
75%Weight 40%Scale 1-5Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is a strong, highly actionable operational guide: concrete commands with expected artifacts, a well-sequenced 9-step workflow with validation checkpoints, and a properly signaled one-level reference. Its main weaknesses are token efficiency — a run-log section duplicates an existing command and carries machine/user-specific details — and the absence of explicit failure-recovery branches in the workflow.
Suggestions
Trim or generalize the 实测生成流程记录 section: drop the repeated ParseHeapDump.sh command (already in 常用命令) and replace personal paths and byte sizes with the generalized expectations (exit code 0 + the three report zips present).
Move the run-log narrative and the more case-specific 诊断经验 items into a reference file (e.g., references/mat-report-generation.md), keeping SKILL.md as a lean overview that points to it.
Add explicit failure-recovery branches to the workflow: what to do if no MAT installation is found (install/download hint), if ParseHeapDump.sh exits non-zero, or if expected report zips are missing after generation.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient operational guidance, but the '实测生成流程记录' section repeats the ParseHeapDump.sh invocation already given in 常用命令 and includes instance-specific details ('/Users/greysonfang/Desktop/heap_dump.hprof', '2.6G', '168K/140K/772K') that add tokens without generalizable value. Not score 4 because the duplicated command and personal-path log are noticeable tightening opportunities; not score 2 because the rest is dense and free of concept explanations Claude already knows. | 3 / 5 |
Actionability | Fully executable, copy-paste-ready commands cover the common cases: find patterns for dumps, 'command -v ParseHeapDump.sh', the full 'ParseHeapDump.sh <dump.hprof> org.eclipse.mat.api:suspects ...' invocation, a complete python3 heredoc for HTML text extraction, and a targeted rg query — plus expected artifact names and the Quartz class-name triggers. Not score 4 because no gaps remain: inputs, expected outputs, and verification criteria are all specified. | 5 / 5 |
Workflow Clarity | The 9-step sequence is clear with real checkpoints: '以最终退出码和生成物为准' for report generation, a dedicated 验证 step (narrowest-scope compile/tests, re-dump and metrics online), and the rule to label insufficient evidence as '假设'. Not score 5 because explicit failure-recovery branches are thin — beyond the log-truncation note there is no 'if X fails, do Y' loop (e.g., MAT not found, report generation failing), so checkpoints are present but not full feedback loops. | 4 / 5 |
Progressive Disclosure | The single bundle reference is real (references/quartz-ramjobstore.md exists), one level deep, and clearly signaled by matching class-name triggers ('RAMJobStore、CronTriggerImpl、TriggerWrapper... 读取 references/quartz-ramjobstore.md'). Not score 5 because material that plausibly belongs in references — the 实测生成流程记录 run log and part of 诊断经验 — is inlined in SKILL.md rather than split out, leaving the overview heavier than the anchor's cleanly split structure. | 4 / 5 |
Total | 16 / 20 Passed |