Agent skill

Edt MCP Autopilot

by DitriXNew in DitriXNew/EDT-MCP

Autonomous, spec-driven, multi-agent pipeline that takes an EDT-MCP task or issue end-to-end — research → critics → architect → parallel development → review loop → tests → live-stand check →…

AGPL-3.0Auto-check passedAgent Workflows

Install Edt MCP Autopilot

skills CLI
$ npx skills add DitriXNew/EDT-MCP --skill edt-mcp-autopilot -a claude-code

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

GitHub CLI
$ gh skill install DitriXNew/EDT-MCP edt-mcp-autopilot --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/DitriXNew/EDT-MCP.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/edt-mcp-autopilot .claude/skills/edt-mcp-autopilot && 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
edt-mcp-autopilot
GitHub stars
296
Token cost
~2.5k tokens
SKILL.md length
1,271 words
Files
6 (incl. references)
Skills in repo
24
Repo updated
First seen
Licence
AGPL-3.0

At a glance

Autonomous, spec-driven, multi-agent pipeline that takes an EDT-MCP task or issue end-to-end — research → critics → architect → parallel development → review loop → tests → live-stand check →…

  • Works in 5 steps: Intake & stand prep → gate — escalate principal questions → Build + unit tests (final confirmation) → …
  • Asked to take a whole task/issue to completion autonomously (not for a single quick edit
  • SKILL.md covers Operating rules (always), Checklist (create one todo per…, Phase 0 — Intake & stand prep and Phases 1–4 — Discover, plus 7 more sections
  • Runs JavaScript scripts from its folder; calls git and bash; reaches claude.com

What it does

Edt MCP Autopilot is an agent skill from DitriXNew/EDT-MCP. Autonomous, spec-driven, multi-agent pipeline that takes an EDT-MCP task or issue end-to-end — research → critics → architect → parallel development → review loop → tests → live-stand check → Russian issue comment + PR. Use when asked to take a whole task/issue to completion autonomously (not for a single quick edit or a pure question).

Its SKILL.md is about 2.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including reference files (for example `references/autonomy.md`, `references/build.workflow.js` and `references/discover.workflow.js`).

It sits in Agent Workflows, covering MCP servers, Spec-driven development and End-to-end testing. It works with Model Context Protocol. The licence is AGPL-3.0.

When your agent uses it

  • Asked to take a whole task/issue to completion autonomously (not for a single quick edit
  • A pure question)

Example prompts

  • “/edt-mcp-autopilot”

Requirements

  • Node.js

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Intake & stand prep
  2. gate — escalate principal questions
  3. Build + unit tests (final confirmation)
  4. Live stand scenarios + operator gate
  5. Ship

What it can do on your machine

Read from SKILL.md and the folder at commit 6d18531. 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

    Ships script files (JavaScript), which the agent can run.

    Shell commands in SKILL.md call:

    • git
    • bash

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

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • claude.com

    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

Edt MCP Autopilot loads about 2.5k tokens when it runs, and up to ~10k if it reads all its reference files. Until then it costs about 89 tokens; SKILL.md has 1,271 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~89
When it runs · the whole SKILL.md, loaded when a task matches
~2.5k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~10k

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 DitriXNew/EDT-MCP at commit 6d18531, republished under its AGPL-3.0 licence (© DitriXNew). 1,271 words, ~2,516 tokens.

Download SKILL.mdSave it as .claude/skills/edt-mcp-autopilot/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.
name
edt-mcp-autopilot
description
Autonomous, spec-driven, multi-agent pipeline that takes an EDT-MCP task or issue end-to-end — research → critics → architect → parallel development → review loop → tests → live-stand check → Russian issue comment + PR. Use when asked to take a whole task/issue to completion autonomously (not for a single quick edit or a pure question).

EDT-MCP Autopilot

A repeatable pipeline for delivering a whole EDT-MCP task with minimal human input. You are the conductor running in the main loop: you prepare the stand, drive each fan-out phase with the Workflow tool, hold the gates a workflow cannot (waiting/polling, human confirm, irreversible ship), and finish by commenting the issue and opening a PR.

It runs unattended. The only mandatory human touchpoint is the operator confirming the live stand result (Phase 8). Principal design questions are posted to the issue and polled until answered (Phase 4 gate). Everything else proceeds on its own.

Operating rules (always)

  • Spec-Driven (SDD). Write the spec before the code; keep the spec as the contract every agent works against. Persist artifacts to .claude/work/<task-slug>/ (this path is git-ignored — safe for internal notes, issue numbers, stand details).
  • Language. Code, comments, commits → English. Issue comments + PR title + PR body → Russian.
  • Safety. Never touch the live EDT — stand work runs only on a throwaway copy. The concrete stand path/port are environment-specific (the build/test sibling skills know how to reach them); never hardcode them in this skill.
  • Delegate machine specifics. For build, stand, redeploy and test mechanics, use the sibling skills (edt-mcp-build-test, edt-mcp-e2e-testing, edt-mcp-ready-to-deploy) and the project context — do not re-derive commands here.
  • Scale to the task. Small tasks get the minimum fan-out; large tasks get more. Pass size and a token budget directive to the workflows so they size themselves.
  • Skip-bias. Every agent brief ends with: "no behaviour change unless the spec says so; if the cited code is actually meaningful or risky, SKIP and report instead of forcing a change."

Checklist (create one todo per phase)

  1. Phase 0 — Intake & stand prep
  2. Phase 1–4 — Discover (run discover.workflow.js)
  3. Phase 4 gate — escalate principal questions to the issue, poll until answered
  4. Phase 5–6 — Build (run build.workflow.js)
  5. Phase 7 — Build + unit tests (the real safety net)
  6. Phase 8 — Live stand scenarios + operator confirmation
  7. Phase 9 — Ship (issue comment + PR, Russian)

Phase 0 — Intake & stand prep

  • Read and study the task (the issue / tracker item / user prompt). Restate it in your own words and capture the acceptance criteria.
  • Sync the fork and branch from fresh master (per the project git flow): sync upstream → master → git pull → git checkout -b feature/<slug> (or fix/<slug>). Use a worktree to keep the main clone clean.
  • Prepare the test stand now, at the very start, so it is healthy by verification time (delegate to edt-mcp-build-test). If a fresh build is needed for the stand, kick it off.
  • Create .claude/work/<slug>/ and write spec.md from references/sdd-templates.md.

Phases 1–4 — Discover

Run the discover workflow (it implements: 2 doc researchers → ≥3 code-research agents in waves with loop-until-dry → adversarial critics that drop refuted findings and bounce "rework" back into another wave → an architect that synthesises the surviving findings into a concrete spec and a file-disjoint developer partition):

Workflow({
  scriptPath: ".claude/skills/edt-mcp-autopilot/references/discover.workflow.js",
  args: { task: "<the task statement>", size: "small|medium|large" }
})

It returns { spec, devPartition, escalations }. Save spec + devPartition into .claude/work/<slug>/architecture.md (template in references/sdd-templates.md).

Phase 4 gate — escalate principal questions

If escalations is non-empty, do not guess. For each, post the question to the issue in Russian (with the 2–3 options), then enter the poll loop in references/autonomy.md (ScheduleWakeup ≈ every 10 min) until the maintainer answers. Fold the answer into architecture.md, then continue. What counts as "principal" (wire contract, architecture choice, bilingual semantics, breaking change, destructive op, ambiguous requirement) is listed in references/review-checklist.md.

Phases 5–6 — Build

Run the build workflow (parallel developers over the file-disjoint slices → a review loop where each round both COMPILES + runs the unit tests (the build gate) AND applies 3–4 reviewers; build failures and review findings both go to fixers, and a round is "clean" only when the build is green AND no findings remain — with a max-round safeguard that escalates instead of spinning):

Workflow({
  scriptPath: ".claude/skills/edt-mcp-autopilot/references/build.workflow.js",
  args: {
    task: "<the task statement>",
    spec: <spec from discover>,
    devPartition: <devPartition from discover>,
    reviewChecklist: "<contents of references/review-checklist.md>",
    maxRounds: 4,
    buildCommand: "<the project build + unit-test command, WITH the machine's JDK17/maven — e.g.
                    bash source/compile.sh --java-home <..> --maven-home <..>>"
  }
})

Always pass buildCommand. Reviewers read the diff but cannot compile — so an unverified API or a broken test churns rounds forever until a real build settles it. The build gate makes the compiler the arbiter inside the loop (it reads the surefire reports and feeds failing tests to the fixers as blockers). Take the exact command from the project context / CLAUDE.md (it is machine-specific, so it lives in args, not in the release-clean script). If you ever see the loop "reviewing and fixing the same thing round after round", that is the symptom of a missing/failing build gate — check reviewLog[].buildOk.

It returns { changedFiles, reviewLog, openProblems, rounds, clean }. If clean is false after maxRounds, treat the remaining openProblems as an escalation (Phase 4 gate). Record the review outcome in .claude/work/<slug>/review-log.md.

The developers edit disjoint files in the shared working tree and do not touch git — you commit at the end. If two slices must touch the same file, re-partition or run that slice with isolation:'worktree' and merge.

Show full SKILL.md (484 more words)Show less

Phase 7 — Build + unit tests (final confirmation)

Run the project build + unit tests yourself (delegate to edt-mcp-build-test). With buildCommand set, the review loop already compiled + tested each round, so when it returned clean: true this is a fast confirmation on your own deterministic build (it should pass first try). It is still the real safety net — it catches missing throws, ratchet failures (unit XxxToolTest, schema/execute parity) and golden drift. Red → back to Phase 5/6 with the failures as the brief. Green → continue. If a tool's wire surface changed, regenerate the golden and review the diff.

If the loop hit maxRounds still red (or you did NOT pass buildCommand), do NOT keep spawning review rounds — stop the workflow and run the build yourself; the compiler settles what the reviewers were guessing at, and you fix the concrete failures directly.

Phase 8 — Live stand scenarios + operator gate

If the task is live-verifiable (a tool behaviour, a form/metadata effect, a runtime contract):

  • Redeploy the fresh build to the throwaway stand and run the real scenarios (the e2e matrix or targeted MCP calls) — delegate to edt-mcp-e2e-testing / edt-mcp-ready-to-deploy.
  • Scan the workspace log after exercising the feature. Grep <workspace>/.metadata/.log for stack traces / errors from our code (com.ditrix.edt.mcp.server) logged since the redeploy. Runtime failures often log there WITHOUT surfacing through the MCP wire — an exception in a UI Job, a caught Activator.logError, or a per-item failure swallowed into a degraded result (a real case: a single-image CommonPicture whose decode threw but showed only as "No variants" in the gallery, found only in .log). A green tool response does NOT prove a clean run — treat any such stack as a real finding to diagnose BEFORE the operator gate, not after a user hits it.
  • Operator gate (the one human touchpoint): use AskUserQuestion to show the live result and ask the operator to confirm it before shipping (see references/autonomy.md). Do not open the PR until the operator confirms.

If the task is not live-verifiable (pure refactor, hygiene, docs), skip the stand run and the operator gate — the green build + e2e already prove it.

Phase 9 — Ship

On all-green and operator OK:

  • Record the key facts and lessons for future work.
  • Commit (English message; include the standard AI Co-Authored-By trailer), push the branch.
  • Comment the issue in Russian (what was done, how it was verified).
  • Open the PR to upstream in Russian (title + body), body ending with 🤖 Generated with [Claude Code](https://claude.com/claude-code).

Files in this skill

  • references/discover.workflow.js — Phases 1–4 (research → critics → architect).
  • references/build.workflow.js — Phases 5–6 (parallel dev → review loop).
  • references/review-checklist.md — the MUST-ENFORCE criteria reviewers and the architect apply.
  • references/sdd-templates.md — spec.md / architecture.md / review-log.md templates.
  • references/autonomy.md — the issue-poll gate and the operator-confirm gate recipes.

Notes

  • This skill orchestrates the existing recipes; it does not redefine build/stand mechanics.
  • Keep this skill and its references release-clean: English only, no machine paths, ports, stand names, or internal issue numbers (those belong in the project context and in the git-ignored .claude/work/).

© DitriXNew, AGPL-3.0. 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 5 other files (references) in .claude/skills/edt-mcp-autopilot of DitriXNew/EDT-MCP.

  • SKILL.md
  • references/autonomy.md
  • references/build.workflow.js
  • references/discover.workflow.js
  • references/review-checklist.md
  • references/sdd-templates.md

Open the folder on GitHubat commit 6d18531

Compare with similar skills

Edt MCP Autopilot 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.

Edt MCP Autopilot compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Edt MCP Autopilot this skillDitriXNew/EDT-MCP296—~2.5kAutomated safety check: PassAGPL-3.0
Qwen Code E2E TestingQwenLM/qwen-code28k—~2.1kAutomated safety check: PassApache-2.0
Exploring The WizardPostHog/wizard197—~2.2kAutomated safety check: PassMIT
Glance TestDebugBase/glance156—~827Automated safety check: PassMIT
Testing Livepeerdaydreamlive/scope452—~2.5kAutomated safety check: PassCustom licence
Tauri Dev MCP Bridgejerrywu001/cc-sessions-viewer396—~1.4kAutomated safety check: WarnMIT

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Categories

Questions about Edt MCP Autopilot

What does Edt MCP Autopilot do?

Autonomous, spec-driven, multi-agent pipeline that takes an EDT-MCP task or issue end-to-end — research → critics → architect → parallel development → review loop → tests → live-stand check →…. Edt MCP Autopilot is an agent skill from DitriXNew/EDT-MCP. Autonomous, spec-driven, multi-agent pipeline that takes an EDT-MCP task or issue end-to-end — research → critics → architect → parallel development → review loop → tests → live-stand check → Russian issue comment + PR.

When should I use Edt MCP Autopilot?

Edt MCP Autopilot fits situations like: asked to take a whole task/issue to completion autonomously (not for a single quick edit; A pure question).

How do I install Edt MCP Autopilot in Claude Code?

Run `npx skills add DitriXNew/EDT-MCP --skill edt-mcp-autopilot -a claude-code`. Or copy the skill folder (.claude/skills/edt-mcp-autopilot in DitriXNew/EDT-MCP) into .claude/skills/edt-mcp-autopilot in your project. Claude Code loads it when a task matches its description.

How do I install Edt MCP Autopilot in Codex?

Run `npx skills add DitriXNew/EDT-MCP --skill edt-mcp-autopilot -a codex`. Or copy the skill folder (.claude/skills/edt-mcp-autopilot in DitriXNew/EDT-MCP) into .agents/skills/edt-mcp-autopilot in your project. Codex loads it when a task matches its description.

Can I use Edt MCP Autopilot 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 DitriXNew/EDT-MCP --skill edt-mcp-autopilot -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/edt-mcp-autopilot, .gemini/skills/edt-mcp-autopilot, .github/skills/edt-mcp-autopilot and .opencode/skills/edt-mcp-autopilot in your project.

What does Edt MCP Autopilot need to run?

Going by SKILL.md and its folder, Edt MCP Autopilot needs JavaScript for the scripts in its folder and the command-line tools its instructions call (git and bash). Our summary lists: Node.js.

Does Edt MCP Autopilot access the network?

SKILL.md names 1 domain. In commands or code: claude.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Edt MCP Autopilot 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 Edt MCP Autopilot use?

Edt MCP Autopilot is published under the AGPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Edt MCP Autopilot use?

About 2.5k tokens (SKILL.md is roughly 10k 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 7.9k tokens, read only when the agent opens those files.

What are the alternatives to Edt MCP Autopilot?

Skills that share tags, products or a category with Edt MCP Autopilot: Qwen Code E2E Testing (QwenLM/qwen-code, 28k stars), Exploring The Wizard (PostHog/wizard, 197 stars), Glance Test (DebugBase/glance, 156 stars) and Testing Livepeer (daydreamlive/scope, 452 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Edt MCP Autopilot?

DitriXNew (a GitHub user) maintains it in DitriXNew/EDT-MCP, which has 296 GitHub stars. The repository holds 24 skills in this directory. The repository was last updated on October 7, 2026.

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