20-andruia-niche-intelligence-v2

20-andruia-niche-intelligence-v2 is a skill for Claude Code, Codex from diegosouzapw/awesome-omni-skills. It costs 104 tokens per session (2,782 once invoked), scanned A, original, MIT.

A workflow skill for researching the specialist knowledge, regulations, and standards of a project's industry or niche, in Spanish, for Andru.ia.

In plain words
What is it for?
Use it after choosing a project's niche when planning how industry knowledge, rules, and standards should shape the work.
Why use it?
It helps an agent account for domain-specific context after the project's industry has been defined.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions Codex; mentions Gemini CLI; mentions OpenCode.

Good fit Use it after choosing a project's niche when planning how industry knowledge, rules, and standards should shape the work.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/diegosouzapw/awesome-omni-skills/20-andruia-niche-intelligence-v2
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add diegosouzapw/awesome-omni-skills --skill 20-andruia-niche-intelligence-v2
Clone the repo
git clone --depth 1 https://github.com/diegosouzapw/awesome-omni-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for 20-andruia-niche-intelligence-v2

README.md
[![agentmods](https://agentmods.dev/badge/skills/diegosouzapw/awesome-omni-skills/20-andruia-niche-intelligence-v2/github.svg)](https://agentmods.dev/skills/diegosouzapw/awesome-omni-skills/20-andruia-niche-intelligence-v2)
Your own site
<a href="https://agentmods.dev/skills/diegosouzapw/awesome-omni-skills/20-andruia-niche-intelligence-v2"><img src="https://agentmods.dev/badge/skills/diegosouzapw/awesome-omni-skills/20-andruia-niche-intelligence-v2/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for 20-andruia-niche-intelligence-v2

Your own site · 80×15
<a href="https://agentmods.dev/skills/diegosouzapw/awesome-omni-skills/20-andruia-niche-intelligence-v2"><img src="https://agentmods.dev/badge/skills/diegosouzapw/awesome-omni-skills/20-andruia-niche-intelligence-v2.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 104 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,782 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00104 $0.02782
Opus 5 $0.00052 $0.01391
Sonnet 5 $0.00021 $0.00556
Haiku 4.5 $0.00010 $0.00278

Measured 12d ago against content hash e9af8787bbbf, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

20-andruia-niche-intelligence-v2 scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

skills/20-andruia-niche-intelligence-v2/SKILL.md · 206 lines

How it starts

The opening of the file, as written. The whole thing — 206 lines — stays where its author put it; the contents beside it link to each section on GitHub.

🧠 Andru.ia Niche Intelligence (Dominio Experto)

Overview

This public intake copy packages plugins/antigravity-awesome-skills/skills/20-andruia-niche-intelligence from https://github.com/sickn33/antigravity-awesome-skills into the native Omni Skills editorial shape without hiding its origin.

Use it when the operator needs the upstream workflow, support files, and repository context to stay intact while the public validator and private enhancer continue their normal downstream flow.

This intake keeps the copied upstream files intact and uses the external_source block in metadata.json plus ORIGIN.md as the provenance anchor for review.

Imported source sections that did not map cleanly to the public headings are still preserved below or in the support files. Notable imported sections: 📝 Descripción, 📋 Instrucciones Generales, 🛠️ Flujo de Trabajo (Protocolo de Inyección), ⚠️ Reglas de Oro, 🔗 Relaciones Nucleares, Limitations.

When to Use This Skill

Use this section as the trigger filter. It should make the activation boundary explicit before the operator loads files, runs commands, or opens a pull request.

  • Use this skill once the project's niche or industry has been identified.
  • It is essential for injecting domain-specific intelligence, regulatory requirements, and industry-standard UX patterns into the project.
  • 🧠 Andru.ia Niche Intelligence (Dominio Experto)

  • Use when provenance needs to stay visible in the answer, PR, or review packet.
  • Use when copied upstream references, examples, or scripts materially improve the answer.
  • Use when the workflow should remain reviewable in the public intake repo before the private enhancer takes over.

Operating Table

Situation Start here Why it matters
First-time use metadata.json Confirms repository, branch, commit, and imported path through the external_source block before touching the copied workflow
Provenance review ORIGIN.md Gives reviewers a plain-language audit trail for the imported source
Workflow execution SKILL.md Starts with the smallest copied file that materially changes execution
Supporting context SKILL.md Adds the next most relevant copied source file without loading the entire package
Handoff decision ## Related Skills Helps the operator switch to a stronger native skill when the task drifts

Read the full file on GitHub · 206 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 12d ago First seen · 206 lines · 104 tokens per session scan A e9af8787bbbf

Subscribe to this mod's changes

20-andruia-niche-intelligence-v2 is a skill published in the GitHub repository diegosouzapw/awesome-omni-skills (140 stars, last pushed 2mo ago), licensed MIT. It adds 104 tokens to every session and 2,782 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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