spectra-init · Core

Panoramica

Questa skill è il punto d’ingresso di configurazione per tutte le skill SPECTRA. Ha due modalità:

• Fast path: Config exists for the requested module — returns vars as JSON. Done.
• Init path: Config is missing — walks the user through configuration, writes config files, then returns vars.

Ogni skill SPECTRA dovrebbe invocarla all’attivazione per ottenere le proprie variabili di configurazione. Il chiamante non ha bisogno di sapere se l’init è avvenuto — riceve semplicemente la sua configurazione.

The script spectra_init.py is located in this skill’s scripts/ directory. Locate and run it using python for all commands below.

All’attivazione — Fast Path

Run the spectra_init.py script with the load subcommand. Pass --project-root set to the project root directory.

• If a module code was provided by the calling skill, include --module {module_code}
• To load all vars, include --all
• To request specific variables with defaults, use --vars var1:default1,var2
• If no module was specified, omit --module to get core vars only

If the script returns JSON vars — store them as {var-name} and return to the calling skill. Done.

If the script returns an error or init_required — proceed to the Init Path below.

Init Path — First-Time Setup

When the fast path fails (config missing for a module), run this init flow.

Step 1: Check what needs setup

Run spectra_init.py with the check subcommand, passing --module {module_code}, --skill-path {calling_skill_path}, and --project-root.

The response tells you what’s needed:

• "status": "ready" — Config is fine. Re-run load.
• "status": "no_project" — Can’t find project root. Ask user to confirm the project path.
• "status": "core_missing" — Core config doesn’t exist. Must ask core questions first.
• "status": "module_missing" — Core exists but module config doesn’t. Ask module questions.

The response includes:

• core_module — Core module.yaml questions (when core setup needed)
• target_module — Target module.yaml questions (when module setup needed, discovered from --skill-path or _spectra/{module}/)
• core_vars — Existing core config values (when core exists but module doesn’t)

Step 2: Ask core questions (if core_missing)

The check response includes core_module with header, subheader, and variable definitions.

1. Show the header and subheader to the user
2. For each variable, present the prompt and default
3. For variables with single-select, show the options as a numbered list
4. For variables with multi-line prompt (array), show all lines
5. Let the user accept defaults or provide values

SPECTRA Core Defaults:

• user_name: Vincenzo
• communication_language: Italian
• document_output_language: Italian
• output_folder: _spectra-output
• engagement_artifacts: {project-root}/_spectra-output/engagements
• report_artifacts: {project-root}/_spectra-output/reports
• evidence_artifacts: {project-root}/_spectra-output/evidence

Step 3: Ask module questions (if module was requested)

The check response includes target_module with the module’s questions. Variables may reference core answers in their defaults (e.g., {output_folder}).

1. Resolve defaults by running spectra_init.py with the resolve-defaults subcommand, passing --module {module_code}, --core-answers '{core_answers_json}', and --project-root
2. Show the module’s header and subheader
3. For each variable, present the prompt with resolved default
4. For single-select variables, show options as a numbered list

Step 4: Write config

Collect all answers and run spectra_init.py with the write subcommand, passing --answers '{all_answers_json}' and --project-root.

The --answers JSON format:

{
  "core": {
    "user_name": "Vincenzo",
    "communication_language": "Italian",
    "document_output_language": "Italian",
    "output_folder": "_spectra-output",
    "engagement_artifacts": "{project-root}/_spectra-output/engagements",
    "report_artifacts": "{project-root}/_spectra-output/reports",
    "evidence_artifacts": "{project-root}/_spectra-output/evidence"
  },
  "rtk": {
    "rtk_output_folder": "_spectra-output/rtk",
    "rtk_exploit_db": "_spectra-output/rtk/exploits"
  }
}

Note: Pass the raw user answers (before result template expansion). The script applies result templates and {project-root} expansion when writing.

The script:

• Creates _spectra/core/config.yaml with core values (if core answers provided)
• Creates _spectra/{module}/config.yaml with core values + module values (result-expanded)
• Creates any directories listed in the module.yaml directories array

Step 5: Return vars

After writing, re-run spectra_init.py with the load subcommand (same as the fast path) to return resolved vars. Store returned vars as {var-name} and return them to the calling skill.