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Agent skill

Repo Harness Chatgpt

by Ancienttwo in Ancienttwo/repo-harness

Canonical rule owner for repo-harness ChatGPT integration -- Oracle-first browser/GPT Pro consult and continuation, advisory orchestration, MCP Connector setup, MCP bridge planning handoff, and…

MITAuto-check passedProductivity & Automation

Install Repo Harness Chatgpt

skills CLI
$ npx skills add Ancienttwo/repo-harness --skill repo-harness-chatgpt -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Ancienttwo/repo-harness repo-harness-chatgpt --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Ancienttwo/repo-harness.git skills-src && mkdir -p .claude/skills && cp -r skills-src/assets/skills/repo-harness-chatgpt .claude/skills/repo-harness-chatgpt && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
repo-harness-chatgpt
GitHub stars
435
Token cost
~587 tokens
SKILL.md length
233 words
Files
8 (incl. references)
Skills in repo
12
Repo updated
First seen
Licence
MIT

At a glance

Canonical rule owner for repo-harness ChatGPT integration -- Oracle-first browser/GPT Pro consult and continuation, advisory orchestration, MCP Connector setup, MCP bridge planning handoff, and…

  • Tasks that involve App automation through connectors
  • SKILL.md covers Mode Selection and Boundaries
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Repo Harness Chatgpt is an agent skill from Ancienttwo/repo-harness. Canonical rule owner for repo-harness ChatGPT integration -- Oracle-first browser/GPT Pro consult and continuation, advisory orchestration, MCP Connector setup, MCP bridge planning handoff, and Connector invocation read-back evidence.

Its SKILL.md is about 590 tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files, including reference files (for example `references/bridge.md`, `references/consult.md` and `references/continue.md`).

It sits in Productivity & Automation, covering App automation through connectors. It works with OpenAI and Model Context Protocol. The repository describes itself as: File-backed workflow harness for reliable Claude Code and Codex sessions. The licence is MIT.

When your agent uses it

  • Tasks that involve App automation through connectors

Example prompts

  • “/repo-harness-chatgpt”

What it can do on your machine

Read from SKILL.md and the folder at commit ad7b579. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Repo Harness Chatgpt loads about 587 tokens when it runs, and up to ~17k if it reads all its reference files. Until then it costs about 64 tokens; SKILL.md has 233 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~64
When it runs · the whole SKILL.md, loaded when a task matches
~587
With references · SKILL.md plus every file in references/, read only if the agent opens them
~17k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from Ancienttwo/repo-harness at commit ad7b579, republished under its MIT licence (© Ancienttwo). 233 words, ~587 tokens.

Download SKILL.mdSave it as .claude/skills/repo-harness-chatgpt/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.
name
repo-harness-chatgpt
description
Canonical rule owner for repo-harness ChatGPT integration -- Oracle-first browser/GPT Pro consult and continuation, advisory orchestration, MCP Connector setup, MCP bridge planning handoff, and Connector invocation read-back evidence.
when_to_use
repo-harness-chatgpt, ChatGPT Web consult, GPT Pro consult, GPT Pro orchestrate, gptpro, browser GPT, ChatGPT MCP Connector, ChatGPT bridge, MCP read-back…

repo-harness-chatgpt

Bot entrypoint. Select the explicitly requested integration mode. Assign only its technical reference to the worker. Require explicit setup; ChatGPT is never implied by either install profile.

Mode Selection

  • First-time Oracle browser or MCP Connector configuration -> references/setup.md.
  • Explicit GPT Pro orchestration -> read the setup lane in references/setup.md, then references/orchestrate.md.
  • Start a new local -> ChatGPT Web browser consult -> references/consult.md.
  • Continue, read, or clean up a saved browser session -> references/continue.md.
  • Verify or accept a ChatGPT MCP tool call as real evidence -> references/read-back.md.
  • Operate the MCP Connector bridge (planner/executor/orchestrator/coding) -> references/bridge.md.
  • Delegate a self-contained task to GPT Pro and independently accept the result -> references/delegate.md.

Boundaries

  • Product planning never implies this package; ChatGPT discovery requires explicit setup.
  • Never request or handle ChatGPT passwords, 2FA codes, cookies, browser storage, or session tokens; login/captcha/SSO stop and hand back to the user.
  • Setup, consult, and bridge modes share these safety rules by reference; none shares secrets, auth state, or tokens with another mode.
  • Consult stays planning/review/critique only, never the code-edit executor; delegate is the sole approved path for code deliverables, and GPT Pro still never executes edits.
  • Orchestrate is explicit opt-in advisory planning/review; GPT Pro never owns task, lease, writes, shell, or acceptance authority.
  • A missing or unreadable canonical reference fails the calling command closed; it never synthesizes replacement prose.
  • Do not enable remote CDP or an orchestrator dev runner unless the user explicitly asks and the boundary is documented.

© Ancienttwo, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 7 other files (references) in assets/skills/repo-harness-chatgpt of Ancienttwo/repo-harness.

  • SKILL.md
  • references/bridge.md
  • references/consult.md
  • references/continue.md
  • references/delegate.md
  • references/orchestrate.md
  • references/read-back.md
  • references/setup.md

Open the folder on GitHubat commit ad7b579

Compare with similar skills

Repo Harness Chatgpt next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Repo Harness Chatgpt compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Repo Harness Chatgpt this skillAncienttwo/repo-harness435—~587Automated safety check: PassMIT
Slm Web Accessqualixar/superlocalmemory230—~1.3kAutomated safety check: NotesAGPL-3.0
Sealeap Tianlu Amazon AI Agent MCP Product Researchxjli360/sealeap-amazon-skills251—~756Automated safety check: PassMIT
ComposioComposioHQ/composio30k1 repos~1.7kAutomated safety check: PassMIT
Effect V4ComposioHQ/composio30k—~1kAutomated safety check: PassMIT
CLI ReleaseComposioHQ/composio30k—~540Automated safety check: PassMIT

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Works with

Categories

Questions about Repo Harness Chatgpt

What does Repo Harness Chatgpt do?

Canonical rule owner for repo-harness ChatGPT integration -- Oracle-first browser/GPT Pro consult and continuation, advisory orchestration, MCP Connector setup, MCP bridge planning handoff, and…. Repo Harness Chatgpt is an agent skill from Ancienttwo/repo-harness. Canonical rule owner for repo-harness ChatGPT integration -- Oracle-first browser/GPT Pro consult and continuation, advisory orchestration, MCP Connector setup, MCP bridge planning handoff, and Connector invocation read-back evidence.

When should I use Repo Harness Chatgpt?

Repo Harness Chatgpt fits situations like: tasks that involve App automation through connectors.

How do I install Repo Harness Chatgpt in Claude Code?

Run `npx skills add Ancienttwo/repo-harness --skill repo-harness-chatgpt -a claude-code`. Or copy the skill folder (assets/skills/repo-harness-chatgpt in Ancienttwo/repo-harness) into .claude/skills/repo-harness-chatgpt in your project. Claude Code loads it when a task matches its description.

How do I install Repo Harness Chatgpt in Codex?

Run `npx skills add Ancienttwo/repo-harness --skill repo-harness-chatgpt -a codex`. Or copy the skill folder (assets/skills/repo-harness-chatgpt in Ancienttwo/repo-harness) into .agents/skills/repo-harness-chatgpt in your project. Codex loads it when a task matches its description.

Can I use Repo Harness Chatgpt in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Ancienttwo/repo-harness --skill repo-harness-chatgpt -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/repo-harness-chatgpt, .gemini/skills/repo-harness-chatgpt, .github/skills/repo-harness-chatgpt and .opencode/skills/repo-harness-chatgpt in your project.

What does Repo Harness Chatgpt need to run?

SKILL.md names no scripts, command-line tools or credentials: Repo Harness Chatgpt is instructions for the agent only.

Does Repo Harness Chatgpt access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Repo Harness Chatgpt safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Repo Harness Chatgpt use?

Repo Harness Chatgpt is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Repo Harness Chatgpt use?

About 587 tokens (SKILL.md is roughly 2.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 17k tokens, read only when the agent opens those files.

What are the alternatives to Repo Harness Chatgpt?

Skills that share tags, products or a category with Repo Harness Chatgpt: Slm Web Access (qualixar/superlocalmemory, 230 stars), Sealeap Tianlu Amazon AI Agent MCP Product Research (xjli360/sealeap-amazon-skills, 251 stars), Composio (ComposioHQ/composio, 30k stars) and Effect V4 (ComposioHQ/composio, 30k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Repo Harness Chatgpt?

Ancienttwo (a GitHub user) maintains it in Ancienttwo/repo-harness, which has 435 GitHub stars. The repository holds 12 skills in this directory. The repository was last updated on October 10, 2026.

Source: Ancienttwo/repo-harness on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.