loop-solution-council

loop-solution-council is a skill for Claude Code, Codex from Oriolshhh/runware-image-mcp. It costs 20 tokens per session (781 once invoked), scanned A, a copy of loop-context-compression, MIT.

A structured review process that gathers specialist opinions, challenges the proposal once, and combines the findings into one recommendation.

In plain words
What is it for?
Use it to investigate a product or engineering problem, select relevant specialists, review options, and produce an evidence-backed recommendation.
Why use it?
It helps compare implementation choices and surface assumptions, risks, and blockers before work begins.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions subagents; installed under .agents/ (shared by several agents).

Good fit Use it to investigate a product or engineering problem, select relevant specialists, review options, and produce an evidence-backed recommendation.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/oriolshhh/runware-image-mcp/loop-solution-council
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 Oriolshhh/runware-image-mcp --skill loop-solution-council
Clone the repo
git clone --depth 1 https://github.com/Oriolshhh/runware-image-mcp

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 loop-solution-council

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/oriolshhh/runware-image-mcp/loop-solution-council"><img src="https://agentmods.dev/badge/skills/oriolshhh/runware-image-mcp/loop-solution-council.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 20 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 781 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 77% copy Near-identical to another mod 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 $0.00020 $0.00781
Opus 5 $0.00010 $0.00391
Sonnet 5 $0.00004 $0.00156
Haiku 4.5 $0.00002 $0.00078

Measured 8d ago against content hash 671a0774b9c6, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

loop-solution-council 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 8d 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

This is a copy

77% identical to loop-context-compression — 95 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.agents/skills/loop-solution-council/SKILL.md · 96 lines

What it actually says

Loop: solution-council

Follow the ordered workflow below. Respect every human-approval gate, iteration bound, and stop condition.

# `mode: parallel-when-supported` means: run independently in parallel only if the
# platform provides isolated subagents; otherwise run sequentially or as simulated
# role passes, and never claim independence the target cannot guarantee.
name: solution-council
description: Produce an evidence-backed implementation recommendation through bounded specialist review.
max_iterations: 1
steps:
  - id: discovery
    name: discovery
    agent: product-discovery
    output: decision-brief
    instruction: >-
      Reuse .agent/context/ via context-discovery, inspect repository evidence,
      and produce a decision brief (facts, assumptions, preferences, blockers).
      Build one task context capsule for every specialist delegation.
      Ask at most 3 (max 5) grouped, decision-changing questions; otherwise state
      defaults and continue.

  - id: route
    name: route
    agent: council-router
    input: decision-brief
    output: selected-specialists
    instruction: >-
      Select the smallest relevant specialist set (always architecture and
      product; add others only on evidence), select each role's model tier via
      model-routing, and justify both choices. Skip the full council for trivial,
      low-risk changes. Keep chair synthesis heavy/high.

  - id: independent-review
    name: independent-review
    mode: parallel-when-supported
    agents_from: selected-specialists
    input: decision-brief
    output: specialist-reports
    instruction: >-
      Each selected specialist produces a first-pass report from the brief without
      seeing the others' reports. Use the strongest isolation the platform supports
      (parallel subagents, else sequential subagents, else simulated role passes)
      and record which mode was used.

  - id: challenge
    name: challenge
    mode: parallel-when-supported
    agents_from: selected-specialists
    input:
      - decision-brief
      - specialist-reports
    max_rounds: 1
    output: rebuttals
    instruction: >-
      Exactly one bounded round. The devil's advocate and selected specialists
      challenge the leading proposal with evidence-based objections, unsupported
      assumptions, and premature-consensus checks. No further rounds.

  - id: synthesis
    name: synthesis
    agent: council-chair
    input:
      - decision-brief
      - specialist-reports
      - rebuttals
    output: decision-record
    instruction: >-
      Synthesize (do not vote) into one decision record: recommended path,
      confidence with deliberation mode, rejected alternatives, risks, preserved
      dissent, and unresolved questions. Cite only evidence present in the reports.

  - id: approve
    name: approve
    gate: human-approval
    instruction: >-
      Stop and present the decision record for explicit human approval. Do not
      implement production code.

  - id: handoff
    name: handoff
    command: /spec
    instruction: >-
      Only after approval, hand off to /spec to enter spec-to-implementation.

Apply context-discovery before broad scanning: use a supplied context capsule first; otherwise check context frontmatter freshness, read .agent/context/routing.md, load only relevant summaries, and verify critical claims against source.

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. 8d ago First seen · 96 lines · 20 tokens per session scan A 671a0774b9c6

Subscribe to this mod's changes

loop-solution-council is a skill published in the GitHub repository Oriolshhh/runware-image-mcp (0 stars, last pushed 2mo ago), licensed MIT. It adds 20 tokens to every session and 781 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 77% identical to loop-context-compression, differing in 95 lines, and is treated as a copy.

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