Content
92%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-architected skill body: executable commands, explicit error-handling feedback loops, and a clean split between overview logic and twelve one-level reference files. The only minor gap is a couple of large routing tables that lean slightly verbose.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense and mostly earned — decision tables, real shell snippets, and curl examples with no padding about concepts Claude already knows — but the eight-row MCP question-shape table and the large endpoint routing table could be trimmed slightly without losing clarity. | 4 / 5 |
Actionability | Guidance is copy-paste ready throughout: the MCP check one-liner, the `mcp__funda__agent_chat(question: "…")` call syntax, the multi-source `FUNDA_API_KEY` resolution script, and `curl -s -H "Authorization: Bearer $FUNDA_API_KEY" … | python3 -m json.tool` cover the common cases concretely. | 5 / 5 |
Workflow Clarity | A clear four-step sequence (decide surface → MCP flow → REST flow → respond) with substeps and explicit feedback loops: verify MCP connected / install if not, handle 403 `subscription_required`, handle `KEY_NOT_SET`, and offer retry on `timed_out`. | 5 / 5 |
Progressive Disclosure | SKILL.md is an overview that routes each data category to one of twelve real, one-level-deep reference files (all present in ./references/), and a dedicated Reference Files section signals them clearly with no nested-reference chains. | 5 / 5 |
Total | 19 / 20 Passed |