Content
67%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, actionable status skill with concrete commands and clear conditional follow-up. Its main weakness is a redundant second output example, and the referenced scripts are not present in the bundle.
Suggestions
Remove or compress the second output example ("Example output for a content task") to a one-line note, since it duplicates the first block's structure.
Add a brief hint for obtaining a session id (e.g., listing recent sessions) when the user does not supply one.
Either include the referenced scripts (session_manager.py, dag_analyzer.py, board_manager.py) in a scripts/ bundle or note that they are provided by the AgentHub runtime.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is mostly efficient, but the second full output block ("Example output for a content task") largely duplicates the first example's structure with different data — padding that could be trimmed to a brief note. | 3 / 5 |
Actionability | Concrete, executable commands with flags are provided (e.g. `python {skill_path}/scripts/session_manager.py --status {session-id}`), and the usage block shows the session-id format; minor gaps remain around how to discover a session id when not supplied. | 4 / 5 |
Workflow Clarity | Three numbered steps are clearly sequenced with the conditional "After Status" follow-up guidance providing a feedback path; as a read-only status skill it needs no destructive-operation validation, so the minor checkpoint gaps keep it at 4 rather than 5. | 4 / 5 |
Progressive Disclosure | Content is well-organized into clearly labeled sections (Usage, What It Does, Output Format, After Status) with no nested references; however the referenced `{skill_path}/scripts/*.py` files do not exist in any bundle directory, a minor organization gap. | 4 / 5 |
Total | 15 / 20 Passed |