ag-especificar-solucao

ag-especificar-solucao is a skill for Claude Code from andregusman-raiz/a-gusman-claude. It costs 40 tokens per session (648 once invoked), scanned A, original, MIT.

A Portuguese-language skill for writing detailed technical specifications: what to build, how it should work, interfaces, constraints, and edge cases.

In plain words
What is it for?
It is for specifying software features before development, including possible approaches, codebase constraints, requirements, and failure cases.
Why use it?
It helps turn an unclear feature idea into an implementation-ready plan and exposes assumptions that could otherwise cause rework.

Skill for Claude Code

Written for Claude Code: disable-model-invocation in frontmatter. Also seen: model in frontmatter; mentions subagents.

Good fit It is for specifying software features before development, including possible approaches, codebase constraints, requirements, and failure cases.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/andregusman-raiz/a-gusman-claude/ag-especificar-solucao
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 andregusman-raiz/a-gusman-claude --skill ag-especificar-solucao
Clone the repo
git clone --depth 1 https://github.com/andregusman-raiz/a-gusman-claude

Made for: Claude Code.

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 ag-especificar-solucao

README.md
[![agentmods](https://agentmods.dev/badge/skills/andregusman-raiz/a-gusman-claude/ag-especificar-solucao/github.svg)](https://agentmods.dev/skills/andregusman-raiz/a-gusman-claude/ag-especificar-solucao)
Your own site
<a href="https://agentmods.dev/skills/andregusman-raiz/a-gusman-claude/ag-especificar-solucao"><img src="https://agentmods.dev/badge/skills/andregusman-raiz/a-gusman-claude/ag-especificar-solucao/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 ag-especificar-solucao

Your own site · 80×15
<a href="https://agentmods.dev/skills/andregusman-raiz/a-gusman-claude/ag-especificar-solucao"><img src="https://agentmods.dev/badge/skills/andregusman-raiz/a-gusman-claude/ag-especificar-solucao.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 40 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 648 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 warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Excessive Agency · line 4
    Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.
    Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.
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 $0.00040 $0.00648
Opus 5 $0.00020 $0.00324
Sonnet 5 $0.00008 $0.00130
Haiku 4.5 $0.00004 $0.00065

Measured 13d ago against content hash 1d97ca2c05d0, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

ag-especificar-solucao 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 13d 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.

skills/ag-especificar-solucao/SKILL.md · 61 lines

How it starts

The opening of the file, as written. The whole thing — 61 lines — stays where its author put it; the contents beside it link to each section on GitHub.

ag-especificar-solucao — Especificar Solucao

Reasoning protocol (tier topo — Fable, equivalente a reasoning_effort=xhigh): SPECs rasas geram retrabalho. ANTES de produzir output, Exhaust 3+ approaches → Verify constraints com Read do codigo existente → Falsify (que premissa pode estar errada?) → Connect cada decisao a um requisito → Report 5+ edge cases minimo. SPEC sem 5 edge cases listados = bloqueio. Detalhes: .claude/rules/deep-reasoning-directive.md.

Persona

Pense como um arquiteto cetico com 15 anos de experiencia em sistemas que falharam. Voce questiona cada requisito implicito, exige que edge cases sejam documentados, e recusa SPECs que deixam decisoes "para depois". Seu mantra: "Se nao esta na SPEC, nao existe — e vai quebrar em producao."


Spawn the ag-especificar-solucao agent to create a precise, implementable technical specification.

Invocation

Use the Agent tool with:

  • subagent_type: ag-especificar-solucao
  • mode: auto
  • run_in_background: false
  • prompt: Compose from template below + $ARGUMENTS

NOTE: NOT background — output is needed before ag-planejar-execucao can plan execution.

Prompt Template

Feature/Problema: [from $ARGUMENTS]
Escopo: [scope boundaries if specified]


Criar SPEC tecnica implementavel cobrindo:
- Interface do componente/feature (inputs, outputs, comportamento)
- Fluxos de usuario (happy path + error paths)
- Estrutura de dados (schemas Zod, types TypeScript)
- Edge cases e como tratar cada um
- O que NAO esta no escopo (OOS)
- Decisoes tecnicas com rationale
- **Solucoes da Design Library**: verificar ~/Claude/assets/design-library/catalog.md
  Se existe solucao catalogada, referenciar na SPEC: "Baseado em: design-library/solutions/NN-id"
  Se UI envolvida, aplicar tokens de ~/Claude/assets/design-library/UI_UX/raiz-educacao-design-system.md

Ler docs/ai-state/findings.md e errors-log.md antes de comecar.
Max 200 linhas por SPEC (dividir se maior).

Important

  • ALWAYS spawn as Agent subagent — do NOT execute inline
  • Do NOT run in background — output feeds into ag-planejar-execucao
  • Supports modes: default (full spec), minimal (< 50 lines), review (evaluate existing spec)

Read the full file on GitHub · 61 lines

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. 13d ago First seen · 61 lines · 40 tokens per session scan A 1d97ca2c05d0

Subscribe to this mod's changes

ag-especificar-solucao is a skill published in the GitHub repository andregusman-raiz/a-gusman-claude (19 stars, last pushed 4d ago), licensed MIT. It adds 40 tokens to every session and 648 once invoked, about $0.0002 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.

Related

Other skills, from other repositories

taiyi-ui-design

A design-planning guide for describing how an application's user interface should look and behave. It produces a UI-DESIGN.md document covering layouts, components, interactions, accessibility, and error states.

Dong90/oh-my-taiyiforge · 35 tokens

taiyi-evolve

A workflow skill that compares the implemented code with the frozen design after development and testing. It records architecture changes and proposes updates to DESIGN.md, the document describing the intended system structure.

Dong90/oh-my-taiyiforge · 37 tokens

taiyi-diagram-c4

A code-scanning tool that builds C4 architecture documents from a repository. It separates facts observed in the code from conclusions inferred about the design and uses Mermaid diagrams as the source format.

Dong90/oh-my-taiyiforge · 48 tokens

retrospective-audit

Stage B of /prflow:retrospective-weekly: given a most-recent-first subset of one recurring pattern's occurrence-PR context bundles (bounded by auditbundlecap), re-derive the root cause and return one JSON object carrying a ranked findings array (one to three sub-patterns) — no edits, no worktree. Invoked as a subagent…

The01Geek/prflow · 91 tokens

docs

Use when documentation generally needs to catch up with a branch before pushing or merging, covering internal developer docs, external customer-facing docs, and release notes together — "update the docs", "do a docs pass before I merge", "make sure everything's documented". Prefer this when no single documentation…

The01Geek/prflow · 97 tokens

tmux-lane-orchestrator

Manage one tmux agent lane from its matching ops pane, inspect live pane state and Codex logs on cold start, and produce concise manager summaries for OpenClaw and adjacent project work.

vincentkoc/dotskills · 46 tokens