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 high-quality skill body: lean, contract-dense, and immediately actionable, with explicit validation checkpoints and error-recovery guidance across ingestion, chat, search, batch listing, and destructive deletion, and a clean overview-plus-verified-references structure. The only notable weakness is inline time-sensitive version/date provenance that would fit better in a dedicated versioning section.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and dense with hard-won contract detail on nearly every line ("async_processing and embed both default to false. The fields text and process_async do not implement these options"), with no explanations of concepts Claude already knows. It falls short of the score-5 anchor only because time-sensitive version and date information ("targets the latest published release observed on 2026-09-30, v1.14.0", a pinned commit hash, and the v1.14.0-vs-main search scoping note) sits inline rather than in a dedicated version/deprecated section. | 4 / 5 |
Actionability | Guidance is fully executable: copy-paste curl and docker compose commands, and a Python quick-start block whose imports and signatures (create_notebook, add_text_source, wait_for_processing, build_context, create_chat_session, send_chat_message) match the bundled scripts exactly, including a concrete validation raise. Endpoint paths, form fields, and enumerated model_type values make the remaining workflows concrete; the common cases are covered by runnable code. | 5 / 5 |
Workflow Clarity | The ingest-embed-context-chat sequence is clearly ordered with explicit validation checkpoints at each stage ("Wait for /api/sources/{id}/status; a failed job must not flow into analysis", "Inspect full_text after extraction", "embedded_chunks > 0", "Inspect /delete-preview before intentional deletion", "poll its job with a deadline", "Review returned items and token_count"), and error recovery for batch/destructive operations is addressed ("Discard partial results after an error; raise max_pages explicitly"). This satisfies the feedback-loop requirement rather than capping at 3, and exceeds the score-4 anchor, which allows minor validation gaps. | 5 / 5 |
Progressive Disclosure | The body is a genuine overview that pushes bulk detail to a real, one-level-deep bundle: [configuration](references/configuration.md), [API reference](references/api_reference.md), [worked examples](references/examples.md), and [architecture](references/architecture.md) all exist (verified against the file listing) and are contextually signaled, with API contracts summarized inline and the 19KB reference kept out of the main file. This matches the score-5 anchor of well-signaled, appropriately split, easy navigation. | 5 / 5 |
Total | 19 / 20 Passed |