Content
77%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is a highly actionable, clearly sequenced onboarding flow with concrete code and gated checks throughout. Its main weaknesses are duplicated pref-merge scripts and a monolithic structure with no progressive disclosure of its own detail into reference files.
Suggestions
Deduplicate the prefs-merge Python block by defining it once (e.g. a single script under scripts/ or a shared snippet) and invoking it from the --skip and Step 6 paths.
Move the stable command quick-reference table and prefs.json schema into a references/ file (e.g. references/COMMANDS.md) and link to it from the body to reduce inline bulk.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body assumes Claude's competence with no concept fluff, but the prefs-merge Python block is duplicated near-verbatim in the --skip path and twice in Step 6, which could be tightened; this keeps it at level 2 rather than the lean level 3. | 2 / 3 |
Actionability | Every step provides concrete, copy-paste-ready guidance: exact bash checks, Python pref-merge scripts, full AskUserQuestion JSON payloads, and a precise 'gh api -X PUT /user/starred/Q00/ouroboros' command, matching the fully-executable level 3 anchor. | 3 / 3 |
Workflow Clarity | The flow is explicitly sequenced (Pre-Check, Steps 1-6, Completion) with gated checkpoints (welcomeCompleted/legacy welcomeShown, MCP_OK/MCP_MISSING, GH_OK/GH_MISSING) driving clear branching; being non-destructive, the missing validate-fix-retry loop is not penalized. | 3 / 3 |
Progressive Disclosure | Sections are well-organized and cross-skill hand-offs (e.g. 'Execute skills/interview/SKILL.md') are clearly signaled, but it is a monolithic ~360-line single file with no bundle files and inline content (command table, prefs schema) that could be split out, so it stops at level 2. | 2 / 3 |
Total | 10 / 12 Passed |