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.
npx skills add Ancienttwo/repo-harness --skill repo-harness-chatgptgit clone --depth 1 https://github.com/Ancienttwo/repo-harnessWrote 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.
[](https://agentmods.dev/skills/ancienttwo/repo-harness/repo-harness-chatgpt)<a href="https://agentmods.dev/skills/ancienttwo/repo-harness/repo-harness-chatgpt"><img src="https://agentmods.dev/badge/skills/ancienttwo/repo-harness/repo-harness-chatgpt/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.
<a href="https://agentmods.dev/skills/ancienttwo/repo-harness/repo-harness-chatgpt"><img src="https://agentmods.dev/badge/skills/ancienttwo/repo-harness/repo-harness-chatgpt.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00049 | $0.00546 |
| Opus 5 | $0.00024 | $0.00273 |
| Sonnet 5 | $0.00010 | $0.00109 |
| Haiku 4.5 | $0.00005 | $0.00055 |
Grade A, and why
repo-harness-chatgpt 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 7d 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.
How it starts
The opening of the file, as written. The whole thing — 37 lines — stays where its author put it; the contents beside it link to each section on GitHub.
repo-harness-chatgpt
Canonical rule owner for every repo-harness ChatGPT integration surface: Oracle
browser consult, session continuation, MCP Connector/bridge setup and
operation, and MCP invocation read-back evidence. Discoverable only after
explicit ChatGPT setup; never implied by either install profile. Router-only:
mode protocol lives under references/.
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, thenreferences/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. - Campaign Issue batch ->
references/campaign-issues.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.
What ships with it
8 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.
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.
- 7d ago Changed · +1 lines 1c4b4319afd4
- 13d ago First seen · 36 lines · 49 tokens per session scan A 28751e89bfd5
repo-harness-chatgpt is a skill published in the GitHub repository Ancienttwo/repo-harness (431 stars, last pushed yesterday), licensed MIT. It adds 49 tokens to every session and 546 once invoked, about $0.0002 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 2026-08-30.
Other skills, from other repositories
mastermind-browser-verification
Turn "I opened it and it looks fine" into recorded evidence — accessibility tree over screenshot, console and network errors as mechanical failures, viewport and colour-scheme checks as a checklist, and anything unchecked marked unchecked. Use after implementing a UI change in a client that can drive a browser.
playwright-recording
Record browser interactions as video using Playwright. Use for capturing demo videos, app walkthroughs, and UI flows for Remotion videos. Triggers include recording a demo, capturing browser video, screen recording a website, or creating walkthrough footage.
unix_computer_use
Local and remote desktop observation/input tools with coordinate normalization (local macOS/Linux by default; optional OSWorld HTTP and SSH Mac backends).
memstack-development-webapp-testing
Use when the user says 'write browser tests', 'test this page', 'playwright test', 'e2e test', 'end to end test', 'browser test', 'test the UI', or needs Playwright-based browser testing for a web application. Do NOT use for unit tests, API tests, or non-browser testing.
openlore-brainstorm
Transform a feature idea into an annotated story using a Domain Sketch or Constrained Option Tree. Use when asked to brainstorm, explore, or shape a feature before implementation.
openlore-execute-refactor
Apply a confirmed .openlore/refactor-plan.md with a test gate after each change. Use when asked to execute or continue an OpenLore refactoring plan.