Content
65%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.
A well-structured overview skill: excellent progressive disclosure with all reference links verified, and concrete MCP tool/action guidance. Weaknesses are the absence of validation checkpoints in the execution workflows and redundant routing sections (When to Use MCP Tools / When to Use Each Reference) that duplicate content already present elsewhere in the body.
Suggestions
Add validation checkpoints to the example workflows, e.g., after `configure_load` verify the returned configuration, and after `start` poll `read`/check `read_errors` before interpreting `read_summary`.
Merge 'When to Use Each Reference' into the reference file listings (or vice versa) — the two sections convey the same routing information twice.
Trim the exhaustive per-file topic enumerations (e.g., the 17-topic advanced-features.md list) to the 4-5 most common topics; the full topic list belongs in the reference file itself.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is mostly list-based with no basic-concept padding, but carries real redundancy: the "When to Use MCP Tools" section restates the tool sections' purposes ("Load Configuration: Configure load settings via API"), the "When to Use Each Reference" section repeats what each "Reference Files" entry already signals, and reference sections exhaustively enumerate every topic inside each file (e.g., advanced-features.md lists ~17 topics). Not 4: the duplication is more than minor — two parallel sections cover the same routing information. Not 2: there is no over-explanation of known concepts and the bulk of detail is correctly pushed to references. | 3 / 5 |
Actionability | Concrete, executable guidance throughout: named MCP tools with specific actions ("`blazemeter_tests` with action `configure_load` - Configure load settings (users, duration, ramp-up)"), required args, return values, and two numbered example workflows ("1. Use `blazemeter_tests` with action `create`... 4. Use `blazemeter_execution` with action `start`"). Not 5: no example argument payloads or parameter specifics (e.g., what key/values configure_load accepts), so a few minor execution details must be discovered on the fly. Not 3: nothing is pseudocode or vague — the tool/action/args triplets are directly invocable. | 4 / 5 |
Workflow Clarity | The Quick Start and the two example workflows give a clear, ordered sequence (create → configure_load → configure_locations → start → read_summary; list → read_summary → read_errors → read_request_stats), but no validation checkpoints: nothing verifies the test was created or that execution actually started before proceeding, and no error-recovery loop (e.g., check read_errors before interpreting summary). This matches anchor 3 — 'steps listed but validation gaps; checkpoints missing or implicit'. Not 4: even minor checkpoints are absent despite test execution being a multi-step, resource-consuming operation. | 3 / 5 |
Progressive Disclosure | SKILL.md is a genuine overview that keeps all detailed material in seven one-level-deep reference files (all verified present in references/), each link clearly signaled with its topic list ("[load-configuration.md](skill-blazemeter-performance-testing://references/load-configuration.md): Load Configuration, Load Distribution"), plus a routing section. Not 4: navigation is easy, references are flat and well-labeled, and nothing that belongs in a reference is inlined. | 5 / 5 |
Total | 15 / 20 Passed |