run-consulting-research-to-output

run-consulting-research-to-output is a skill for Codex from Rkamirage/consulting-research-to-output. It costs 127 tokens per session (2,435 once invoked), scanned A, original, MIT.

An end-to-end consulting workflow for turning an unclear brief into a well-supported answer and finished deliverable. It coordinates question framing, research, analysis, competing explanations, and revisions.

In plain words
What is it for?
It helps define the audience and problem, break the work into subquestions, compare hypotheses, direct research and analysis, approve the storyline, and create the requested output.
Why use it?
It gives ambiguous consulting work a structured process for clarifying the real question and testing whether the answer is defensible.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: mentions subagents; mentions Codex; $skill-name invocation.

Good fit It helps define the audience and problem, break the work into subquestions, compare hypotheses, direct research and analysis, approve the storyline, and create the requested output.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/rkamirage/consulting-research-to-output/run-consulting-research-to-output
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 Rkamirage/consulting-research-to-output --skill run-consulting-research-to-output
Clone the repo
git clone --depth 1 https://github.com/Rkamirage/consulting-research-to-output

Made for: 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 run-consulting-research-to-output

README.md
[![agentmods](https://agentmods.dev/badge/skills/rkamirage/consulting-research-to-output/run-consulting-research-to-output/github.svg)](https://agentmods.dev/skills/rkamirage/consulting-research-to-output/run-consulting-research-to-output)
Your own site
<a href="https://agentmods.dev/skills/rkamirage/consulting-research-to-output/run-consulting-research-to-output"><img src="https://agentmods.dev/badge/skills/rkamirage/consulting-research-to-output/run-consulting-research-to-output/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 run-consulting-research-to-output

Your own site · 80×15
<a href="https://agentmods.dev/skills/rkamirage/consulting-research-to-output/run-consulting-research-to-output"><img src="https://agentmods.dev/badge/skills/rkamirage/consulting-research-to-output/run-consulting-research-to-output.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 127 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,435 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 $0.00127 $0.02435
Opus 5 $0.00063 $0.01218
Sonnet 5 $0.00025 $0.00487
Haiku 4.5 $0.00013 $0.00244

Measured 12d ago against content hash 6f09a0260d32, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

run-consulting-research-to-output 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.

skills/run-consulting-research-to-output/SKILL.md · 91 lines

How it starts

The opening of the file, as written. The whole thing — 91 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Run Consulting Research to Output

Act as the persistent central case lead. Own the question, MECE decomposition, hypotheses, evidence tests, adjudication, answer revision, storyline approval, loopbacks, and requested artifact. Specialists return bounded evidence, analysis, or defects; they never decide the overall answer.

Pass the framing gate before work

For every new end-to-end consulting engagement, reuse confirmed context and run the compact Frame Challenge before browsing, opening project or private content, calling another model, creating files, dispatching evidence/analysis, or drafting a tree, storyline, or artifact.

The first visible response must do exactly one of these:

  • FRAME CHALLENGE — reflect the candidate question/use and ask one to three concise plain-text questions for the missing direction-changing context; or
  • FRAME READY — repeat the exact supplied question/use, primary reader and knowledge baseline, delivery context, material current belief/rival, and permitted evidence/access boundary, then proceed.

There is no silent readiness and no silent assumption. Use ready_with_assumptions only after the user explicitly authorizes the named reversible assumptions. Skip the gate only when continuing an already framed engagement, executing a complete approved brief, or routing a bounded scan/simple edit outside this orchestrator. A request to “just start” does not waive a missing audience, decision-use, premise, or access boundary.

Do not ask the user to choose a work level. Let the case itself determine the work required: prioritize by decision impact, uncertainty, testability, reversibility, evidence availability, and dependency; stop when further feasible work is unlikely to change the answer or when the answer has been narrowed to match the remaining gap. Add formal lineage, permission, approval, or release controls only when regulation, consequential access/model risk, hard-to-reverse release, or an explicit audit trail requires them.

Read the full file on GitHub · 91 lines

Files

What ships with it

7 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 · 91 lines · 127 tokens per session scan A 6f09a0260d32

Subscribe to this mod's changes

run-consulting-research-to-output is a skill published in the GitHub repository Rkamirage/consulting-research-to-output (4 stars, last pushed 1mo ago), licensed MIT. It adds 127 tokens to every session and 2,435 once invoked, about $0.0006 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.

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