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Advisor

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scdenney
advisor

Consult an independent, read-only GPT-6 Astra advisor before committing to a substantive interpretation, approach, or final result. Not for routine work, implementation, or file edits. Uses gpt-6-astra at an effort matched to the question.

Overview

Publisherscdenney
Repositoryopen-science-skills
Skill nameadvisor
Stars
69
Forks
3
Bundled files
3
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 3 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by scdenney on GitHub. Read the source before you install it.

Installation

Install the Advisor AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/scdenney/open-science-skills/tree/main/codex/advisor
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/scdenney/open-science-skills.git /tmp/open-science-skills
mkdir -p .claude/skills
cp -r /tmp/open-science-skills/codex/advisor .claude/skills/advisor
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Advisor in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Advisor on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Advisor is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Advisor (GPT-6 Astra)

This is the Codex-native advisor maintained in this library. It is a single-turn, independent, read-only consult — not delegated implementation and not a substitute for the lead's judgment.

Use a new output path or directory for each run; preserve earlier results and existing user edits.

Choose the effort

The advisor is gpt-6-astra. Pick its effort per consult from the difficulty and stakes of the question, and tell the user the level and reason in one line:

EffortUse for
high (default)a completion check, a bounded question with a checkable answer, a sanity read before writing
xhighan interpretation or design decision, stuck or non-converging work, a change of approach
maxrare: high-stakes and hard to verify, where a stronger read is worth the latency

OpenAI advises xhigh only where it clearly pays for its latency and cost, so high is the default. Astra does not support none. A fresh Astra session is a separate review context, not an independent model family when the caller also runs Astra.

Luna is not an advisor tier. It is appropriate only for tightly specified mechanical work with objective acceptance checks, not for judgment or synthesis.

When to consult

  • Before committing to a substantive interpretation, writing/analysis strategy, or change of approach.
  • When stuck: repeated errors, a non-converging approach, or results that do not fit.
  • Before declaring a multi-step task complete, after the deliverable is durable.
  • Before high-impact decisions that are hard to verify cheaply.

Do not consult for simple orientation or routine, cheaply verifiable work. On longer work, use one focused consultation before committing to the approach and one before final sign-off when the residual risk warrants it.

Sandbox constraint

scripts/sol-advisor.sh keeps its legacy filename for existing callers and defaults to Astra. Nested CLI calls depend on the parent sandbox, network access, and authentication; headless execution or approval never alone does not rule them out. Use the session's authorized permissions. If a restricted parent blocks initialization, the child cannot bypass it. Request escalation only when supported and necessary; otherwise report the missing independent consult and continue the authorized work without claiming it was reviewed.

Run a consult

  1. Write a self-contained briefing: task, key evidence and paths, current approach or claim, alternatives considered, exact question, and any irreversible or high-impact consequences. The advisor has no access to the original conversation.

  2. Make any deliverable durable before a completion review.

  3. Run the consult at the effort you chose:

    bash
    scripts/sol-advisor.sh --prompt-file <briefing-path> --out <output-path> -C "$PWD" --effort <high|xhigh|max>
  4. Read the output, verify factual claims where possible, and record why you follow or decline any material recommendation.

Codex-plugin result-handling guidance (stop after presenting review findings) applies to code-review handoffs, not here: this skill's contract is that the caller reads the advice, weighs it against primary evidence, and acts — presenting the advisor's text and stopping is not a completed consult.

The spawned session is --sandbox read-only and --ephemeral; it must not edit files. scripts/sol-advisor.sh --check verifies that the Codex CLI is available.

Decision rules

  • Ask one decision-focused question per consult; do not turn the advisor into an unbounded co-worker.
  • Treat advice as evidence, not authority. Primary evidence and direct checks outrank confidence or rhetoric.
  • If the advisor identifies an unresolved material conflict, run one focused follow-up consult rather than broadening the first prompt.
  • If the advisor's recommendation conflicts with authoritative evidence, state the conflict and follow the evidence.
  • If high-impact uncertainty remains after a consult, stop and ask the human rather than manufacturing certainty.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Advisor AI skill do?

Consult an independent, read-only GPT-6 Astra advisor before committing to a substantive interpretation, approach, or final result. Not for routine work, implementation, or file edits. Uses gpt-6-astra at an effort matched to the question.

Why use Advisor on TypingMind?

Because you install it once and use it with any model. Advisor is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Advisor in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/scdenney/open-science-skills/tree/main/codex/advisor. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Advisor?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Advisor?

As many as you like. As long as a model supports skills, you can use Advisor with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Advisor AI skill free?

It is published on GitHub by scdenney. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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