ahmedhamadto/spectra/spectra-quick

Trust tier 3
  • community
Source check pending

Checking that the SKILL.md file is still in the repository.

Run a quick Spectra briefing — Blueprint and Trust only. A 2-minute read.

Install

npx vskill@latest install ahmedhamadto/spectra/spectra-quick

SKILL.md

Run a quick Spectra briefing — Blueprint and Trust only. A 2-minute read.

Target

Quick briefing: $ARGUMENTS

If no path is specified, analyse the current working directory.

Scope

  • Maximum 25 files. If more exist, pick highest-impact: entry points, auth, data layer, API routes.
  • Skip: node_modules, dist, build, .git, __pycache__, vendor, lock files, binary files, cosmetic config.
  • Include: runtime config (auth, CORS, middleware, Docker, CI/CD).
  • Only flag critical and high-severity trust issues.

Output Structure

# ⚡ Spectra Quick Briefing
**Confidence:** Blueprint: ✅/⚠️ | Trust: 🟢/🟡/🔴 (N issues)

Then two sections only.


Layer 1: Blueprint — "What did your AI build?"

Keep it to 2-3 tight paragraphs plus a system diagram.

Start with an ASCII/text flow diagram showing how major components connect.

Then cover in narrative: what the app does (one sentence), tech stack, architecture shape, how data flows, the 3-5 most important files, auth model (if applicable).

Write like you're explaining to a colleague. Clear, not clever.


Layer 2: Trust — "Can you ship this?"

Assess across: security posture, error resilience, data integrity, scalability signals, deployment readiness.

Rate: 🟢 Ship it / 🟡 Fix first / 🔴 Not ready

For 🟡 and 🔴, present critical/high fixes only as a priority table:

PriorityIssueFixEffort
P0[critical][specific fix][e.g., 5 min]
P1[high][specific fix][e.g., 2 hours]

Effort must be specific. Skip medium/low/info findings.


End with: For the full four-layer briefing including Alignment and Ownership, run `/spectra`.

Rules

  • NEVER mention AI or AI-generated code in the output.
  • Be honest in Trust. Don't soften bad news.
  • Verify each finding by re-reading the code in context before reporting.

Security

  • Security scanPassed, 90 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
2
7-day trend score
10

Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.

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