spec-detailed

spec-detailed is a command for Claude Code from Oriolshhh/runware-image-mcp. It costs 22 tokens per session (1,146 once invoked), scanned A, original, MIT.

A command that turns a coding request into a highly detailed specification after deeper repository investigation and more questions.

In plain words
What is it for?
Use it to clarify requirements, inspect related code and tests, list unknowns and assumptions, and produce a precise plan for approval before implementation.
Why use it?
It reduces costly assumptions when the work involves complex product flows, security, billing, permissions, migrations, or other decisions where the wrong behavior is expensive.

Command for Claude Code

Written for Claude Code: a Claude Code command (commands/*.md). Also seen: mentions subagents.

Good fit Use it to clarify requirements, inspect related code and tests, list unknowns and assumptions, and produce a precise plan for approval before implementation.

Compare 6 commands from other repositories ↓
Install with agentmods
npx agentmods add commands/oriolshhh/runware-image-mcp/spec-detailed
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.

Clone the repo
git clone --depth 1 https://github.com/Oriolshhh/runware-image-mcp

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 spec-detailed

README.md
[![agentmods](https://agentmods.dev/badge/commands/oriolshhh/runware-image-mcp/spec-detailed/github.svg)](https://agentmods.dev/commands/oriolshhh/runware-image-mcp/spec-detailed)
Your own site
<a href="https://agentmods.dev/commands/oriolshhh/runware-image-mcp/spec-detailed"><img src="https://agentmods.dev/badge/commands/oriolshhh/runware-image-mcp/spec-detailed/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 spec-detailed

Your own site · 80×15
<a href="https://agentmods.dev/commands/oriolshhh/runware-image-mcp/spec-detailed"><img src="https://agentmods.dev/badge/commands/oriolshhh/runware-image-mcp/spec-detailed.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 22 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,146 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.
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 $0.00022 $0.01146
Opus 5 $0.00011 $0.00573
Sonnet 5 $0.00004 $0.00229
Haiku 4.5 $0.00002 $0.00115

Measured 9d ago against content hash 20588a7ed6a1, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

spec-detailed 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 9d 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.

.agent/commands/spec-detailed.md · 126 lines

How it starts

The opening of the file, as written. The whole thing — 126 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/spec-detailed — Create a detailed spec with deeper questioning

Purpose

Produce a more exhaustive, less assumption-heavy specification when the user wants the agent to ask more questions and pin down exactly what should be built.

Use this when precision matters more than speed: product flows, UX details, security-sensitive behavior, migrations, billing, permissions, API contracts, or anything where a wrong default would be expensive.

Invocation

/spec-detailed <description of the work>

Accepted input

A request, problem statement, ticket, mockup, screenshot, user story, or rough idea, with any known constraints and desired level of strictness.

Prerequisites

A HarnessKit workspace (harnesskit init). No approved spec required.

Procedure

  1. Read .agent/context/README.md and routing when present. Inspect task-relevant source, existing specs, tests, UI routes, APIs, schemas, and configuration before asking questions. Do not ask for facts available in the repository.
  2. Apply requirements-triage and create a discovery map with:
    • confirmed facts;
    • unknowns;
    • assumptions that would affect implementation;
    • preferences that affect UX, API shape, rollout, compatibility, or tests;
    • decision-changing blockers.
  3. Ask a structured question batch. Unlike /spec, this command is intentionally more interrogative:
    • normally ask 6–12 focused questions;
    • never ask more than 15 in one batch;
    • group them by product behavior, UX/API/data, edge cases, rollout, and validation;
    • mark each question as blocking, recommended, or optional;
    • provide a proposed default for every recommended or optional question.
  4. Wait for the user's answers when any blocking question remains. If the user asks you to proceed with defaults, record those defaults explicitly.
  5. Select and announce one planning path:
    • direct-spec for still-small work where detail was needed mainly for clarity;
    • specialist-assisted-spec for cross-cutting work needing one to three specialist planning reviews;
    • full-council-spec for high-risk, irreversible, architectural, security-sensitive, or product-contested work.
  6. Use specialist-routing for any relevant planning reviews. Give specialists the same brief and context capsule. Use isolated parallel reports only where the tool supports native subagents; otherwise use clearly labelled sequential or simulated role passes.
  7. Produce a complete spec with the normal /spec structure plus these detailed sections:
    • Decision log — each answered question, chosen default, and reason;
    • Alternative behaviors considered — rejected options and why;
    • Acceptance examples — concrete examples or scenarios for critical requirements;
    • Observability and rollout — metrics, logs, flags, migration, rollback when relevant.
  8. Save it to .agent/specs/<kebab-case-name>.md using the standard spec frontmatter contract below.
  9. Present a concise plain-language decision summary using /sum-spec's output contract. Stop and request approval explicitly. Do not start implementation workers.

Read the full file on GitHub · 126 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. 9d ago First seen · 126 lines · 22 tokens per session scan A 20588a7ed6a1

Subscribe to this mod's changes

spec-detailed is a command published in the GitHub repository Oriolshhh/runware-image-mcp (0 stars, last pushed 1mo ago), licensed MIT. It adds 22 tokens to every session and 1,146 once invoked, about $0.0001 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 2026-08-31.