Content
86%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 well-structured and highly actionable, with executable examples and a clean progressive-disclosure split into real reference files. The main gap is the lack of an explicit validation/feedback loop around task execution and run completion.
Suggestions
Add an explicit workflow with a validation checkpoint, e.g. 'infsh task get <id>' and check for a succeeded state before reporting results, plus a retry/inspect path on failure.
Trim the Related Skills and Documentation link lists to the essentials to improve token efficiency.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is largely lean — tables and executable code blocks carry most of the content — but the Related Skills and Documentation sections add peripheral length that could be trimmed without losing actionability. | 4 / 5 |
Actionability | Fully executable, copy-paste-ready commands cover the common cases (image, video, LLM, search, Twitter, 3D, local uploads) and the Commands table gives concrete infsh invocations with real app IDs and flags. | 5 / 5 |
Workflow Clarity | A clear sequence is implied via the Commands table (list → get → sample → run → task get), and 'Check task status' acts as a status checkpoint; however, there is no explicit validate/verify loop and the run→status feedback path is only implicit. | 4 / 5 |
Progressive Disclosure | The body is a concise overview with four clearly signaled, one-level-deep references (references/authentication.md, app-discovery.md, running-apps.md, cli-reference.md), all of which exist as real files; bulk detail is appropriately deferred to those references. | 5 / 5 |
Total | 18 / 20 Passed |