Skills

Ralph Specum Status

Should be used only when the user explicitly asks to use `$ralph-specum-status`, or...

Install

npx skills add tzachbon/smart-ralph --skill ralph-specum-status -g -a claude-code -y
Category
Engineering
Updated
8d ago
License
MIT
Context cost
Lightabout 657 tokens
Runs scripts
No, instructions only

What it does

This skill should be used only when the user explicitly asks to use `$ralph-specum-status`, or explicitly asks Ralph Specum in Codex for status or active spec progress.

Ralph Specum Status

Use this to report Ralph state across configured spec roots.

Derive RALPH_CODEX_PLUGIN_ROOT from this loaded skill by resolving two parent directories from the SKILL.md directory. Never derive it from the project working directory.

Contract

  • Read .claude/ralph-specum.local.md when present
  • Default specs root is ./specs
  • .current-spec lives in the default specs root
  • Hidden directories do not count as specs

Action

  1. Resolve configured roots.
  2. Read .current-spec to identify the active spec.
    • If .current-spec is missing or empty, report that there is no active spec and continue listing specs across roots.
  3. Read specs/.current-epic when present and summarize epic status.
  4. For each spec directory, inspect:
    • .ralph-state.json
    • research.md
    • requirements.md
    • design.md
    • tasks.md
  5. When state exists, use the resolved spec path as basePath, run "$RALPH_CODEX_PLUGIN_ROOT/scripts/prototype_records.py" reconcile --base-path "$BASE_PATH" --state "$BASE_PATH/.ralph-state.json", then re-read state. Never construct specs/<name> after resolution.
  6. Inventory prototype records in lexical order:
    • Read activePrototypes, treating a missing field as an empty map.
    • List prototypes/.*.candidate.md, immutable prototypes/*.md finals, and visible or dot-prefixed *.quarantine.md files.
    • Parse candidates and finals with prototype_records.py parse; use select-downstream with state to derive blockers and stale dependencies.
  7. If tasks.md exists, count completed and incomplete tasks.
  8. Group results by spec root.
  9. Show the active spec, current phase, backlog state, approval state, granularity when present, and which artifacts exist.

Output

Read the whole SKILL.md on GitHub

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